<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>CERAS imply &#187; NLP algorithms</title>
	<atom:link href="http://www.cerasimply.com/category/nlp-algorithms/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.cerasimply.com</link>
	<description>Feel. Love. Touch.</description>
	<lastBuildDate>Thu, 14 Aug 2025 18:06:01 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>https://wordpress.org/?v=4.2.34</generator>
	<item>
		<title>Technology Why using AI tools like ChatGPT in my MBA innovation course is expected and not cheating</title>
		<link>http://www.cerasimply.com/technology-why-using-ai-tools-like-chatgpt-in-my/</link>
		<comments>http://www.cerasimply.com/technology-why-using-ai-tools-like-chatgpt-in-my/#comments</comments>
		<pubDate>Thu, 29 Jun 2023 15:08:01 +0000</pubDate>
		<dc:creator><![CDATA[asawin]]></dc:creator>
				<category><![CDATA[NLP algorithms]]></category>

		<guid isPermaLink="false">http://www.cerasimply.com/?p=4263</guid>
		<description><![CDATA[10 Amazing Examples Of How Deep Learning AI Is Used In Practice? He has published over 200 papers in these areas and has won various awards [&#8230;]]]></description>
				<content:encoded><![CDATA[<h1>10 Amazing Examples Of How Deep Learning AI Is Used In Practice?</h1>
<p>He has published over 200 papers in these areas and has won various awards in the field. The full AI ecosystem, startups, academics, investors, business leaders, all the big tech companies, and the brightest AI brains as speakers. If someone had told me ten years ago that there would be  a single website that the public would visit for  information about science and technology, I would have laughed at them. If they had then told me that I, and anyone with an internet connection, would be able to edit that website, I would have thought they had seriously lost the plot.</p>
<ul>
<li>Instead, the AI-powered search delivered a conversational style answer that directly addresses the suitability of the parks both for the children and the dog.</li>
<li>Before comparing the two chatbots, it’s worth looking into the differences in how they’re built.</li>
<li>So far American tech giants have been the driving force in pushing these consumer AI tools forward, but we should mention that there are many other leaders in the space.</li>
<li>This makes your team more efficient and reduces your research spend by up to 20%.</li>
<li>Nonetheless, generative AI is here to stay and we cannot avoid or delay adapting our approaches to accommodate it.</li>
</ul>
<p>If companies and governments fail to put adequate safeguards AI this trend is set to worsen. AI will give new powers of control to authoritarians while threatening democratic elections. The negative effects of AI on education and testing are already being felt, GPT 4 reportedly scored in the 90th percentile in the Uniform Bar Exam, if adequate safeguards are not put in place meritocratic systems will be severely damaged.</p>
<h2>From Scripted to Spontaneous: The Rise of Generative AI in Chatbot Technology</h2>
<p>It will be interesting to see if the UK government continues on this trajectory or if it begins to adjust its approach as the technology continues to develop. On 25 April 2023, Bristows hosted a conference focused on Large Language Models (LLMs) and Generative AI. Our panel comprised industry experts who provided insight into the future of AI and considered the implications for the legal industry, wider enterprises and also individuals. And be sure to check out the&nbsp;People Lose Data webinar series and our Proofpoint Sigma information protection platform brief to learn more about defending against data loss and insider threats. And, as with the release of any new revolutionary technology, there’s a lot of hype.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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" width="305px" alt="generative ai wikipedia"/></p>
<p>For the discerning AI expert, even the type of cores within the GPU can make a difference, if the aim is to further whittle down the time that it takes to train the AI. When I asked it to generate a comic book image of a cyber attacker, it provided me with multiple options in just three seconds (see Figure 1). In this article, we’ll cover what generative AI is and why it promises to change the way we all work.</p>
<h2>Google&#8217;s Fitbit under fire over unlawful data collection</h2>
<p>A DAO permissionlessly nominates and elects a diverse group of experts to decide upon what training data is used. An additional layer of decentralization would be to not only decentralize decision-making on what data set to use for training, but also the source of data via decentralized marketplaces. In decentralized operations, there is an open, permissionless API that anyone can access, use and build on top of.</p>
<div style='border: grey dashed 1px;padding: 10px;'>
<h3>AI lawsuits explained: Who&#8217;s getting sued? &#8211; TechTarget</h3>
<p>AI lawsuits explained: Who&#8217;s getting sued?.</p>
<p>Posted: Fri, 04 Aug 2023 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiUWh0dHBzOi8vd3d3LnRlY2h0YXJnZXQuY29tL3doYXRpcy9mZWF0dXJlL0FJLWxhd3N1aXRzLWV4cGxhaW5lZC1XaG9zLWdldHRpbmctc3VlZNIBAA?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>Generative AI is finding its way all aspects of the human world, from retail and manufacturing to healthcare and banking. The server solutions depend on which part of the generative AI development process AI experts want to enhance &#8211; whether it’s processing data to ‘train’ AI, or the deployment of the AI model so that it can ‘inference’ in the real world. From something as minute as the architecture of processor cores, to something as comprehensive as GIGABYTE Technology’s total solutions, the instruments for achieving success are in place. It is critical that students understand the rules in place as these are likely to differ from module to module and even from task to task.</p>
<h2>SERVICES</h2>
<p>A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.</p>
<p></p>
<p>This represents a quite burdensome obligation, but especially in the light of the principle of accountability, it is quite a relevant protection in case of claims. Indeed, a privacy impact assessment will show that the controller considered all the factors involved and put in place adequate protection of individuals’ privacy rights. Being a member of UFI is a clear indication of competence and professionalism in the exhibition industry. UFI members benefit from access to a variety of industry resources, education programmes and networking opportunities.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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" width="306px" alt="generative ai wikipedia"/></p>
<p>Pull the curtain away from GPT or Stable Diffusion and there’s no wizard, just a vast array of weightings running on a power-hungry set of GPUs. When ChatGPT engages with you it’s basically taking a drunkard’s walk through the forest of word frequencies, calling out the names of each tree as it leans on it before staggering onward. Are you planning to start working with big data, analytics or AI, but don’t know where to start or what to expect? Have you started your data journey and are wondering how to get to the next level? Want to know how to fund your data journey, how to organize your data team, how to measure the results, how to scale?</p>
<h2>How to monitor the use of generative AI and prevent data loss</h2>
<p>Both students of innovation and business professionals will need to understand how the tools generate responses to assure factual answers and correct references. We’ve created this page as an extension of our existing editorial principles to provide some important context about how the content on BrokerNotes is created. Of course, with the rapid development of new technology, these policies are subject to change. We&#8217;ll update this page the moment that any of these principles needs revision or is no longer relevant. Joseph’s career has been defined by remarkable success, both as an executive in the tech sector and a business leader.</p>
<p>We believe that their groundbreaking technology has the potential to transform the shipping industry. Google has not rolled out the new search product yet – it will be opening a wait list under a new experimental program called Search Labs. Novak worries that when it finally arrives, it will decimate an ‘already struggling’ ad-supported digital publishing  industry. If Google Search is using content scraped from the open web to compose answers, users will have no need to click through to the web pages that form the raw material for the AI’s answers. At the moment, complex searches have to be broken down into smaller parts, leaving users to filter information to piece together the exact answer they want.</p>
<p>The complexity of artificial intelligence systems is expected to escalate in the coming years, making GDPR compliance even more complex. And such complexity might make more difficult to determine when a cyber-attack has occurred and therefore a data breach notification <a href="https://blogs.nvidia.com/blog/2023/08/31/generative-ai-startups-africa-middle-east/">genrative ai</a> obligation is triggered. This is  a relevant circumstance since the EU General Data Protection Regulation introduces the obligation to notify an unauthorised access to personal data to the competent privacy authority and to the individuals whose data was affected.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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" width="303px" alt="generative ai wikipedia"/></p>
<p>To create new efficiencies in our editorial process and to optimize certain rote aspects of our workflow. This has the benefit of freeing our team to explore new research and to utilize their human creativity for exciting projects that will delight and inform our readers. An AI doesn&#8217;t &#8220;know&#8221; things in and of itself, it creates content based&nbsp;upon the body of information that it&#8217;s been trained on. Vandi Verma is the Chief Engineer for Robotic Operations for the Mars 2020 Perseverance rover, and the Assistant Section Manager for Mobility and Robotics Systems at NASA Jet Propulsion Laboratory. She has worked on a number of Space Robotics and Artificial Intelligence research and technology development tasks and has designed, developed, and operated rovers on Mars, the Arctic, Antarctica, and the Atacama Desert. Since launching in 2017, World Summit AI has been the most important summit on the planet for the development of strategies on AI and spotlighting the worldwide applications, risks, benefits and opportunities.</p>
]]></content:encoded>
			<wfw:commentRss>http://www.cerasimply.com/technology-why-using-ai-tools-like-chatgpt-in-my/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>The social and ethical challenges of AI and big data by Richard Benjamins</title>
		<link>http://www.cerasimply.com/the-social-and-ethical-challenges-of-ai-and-big/</link>
		<comments>http://www.cerasimply.com/the-social-and-ethical-challenges-of-ai-and-big/#comments</comments>
		<pubDate>Wed, 24 May 2023 13:03:56 +0000</pubDate>
		<dc:creator><![CDATA[asawin]]></dc:creator>
				<category><![CDATA[NLP algorithms]]></category>

		<guid isPermaLink="false">http://www.cerasimply.com/?p=4261</guid>
		<description><![CDATA[OPINION Could the Hallucination of Generative AI Large Language Models LLM be emerging evidence of a dangerous new trend toward the AGI Dunning-Kruger Effect ? blog.biocomm.ai [&#8230;]]]></description>
				<content:encoded><![CDATA[<h1>OPINION  Could the Hallucination of Generative AI Large Language Models LLM be emerging evidence of a dangerous new trend toward the AGI Dunning-Kruger Effect ? blog.biocomm.ai</h1>
<p>Developed by OpenAI and released in November 2022, ChatGPT reached more than 100 million users in a little over two months. However, it also understands certain inputs in&nbsp;95 other languages, including Spanish, French, Chinese, German and Irish. Large amounts of data and complex algorithms are typically used to train generative AI models. Once trained, these models can be used to generate new data that is similar in style, tone or content to the original data.</p>
<p>However, in the realm of artificial intelligence, &#8220;corpus&#8221; takes on a metaphorical sense, representing the collection of data that serves as training material for AI systems. It is this corpus that endows AI with intelligence specific to its designed purpose. Using AI to generate learning objectives, formative assessment exercises, summary information and sources could deliver significant workload reduction for staff. We can already anticipate that generative AI engines will soon be able to draft reports, create presentations and images, and summarise meetings for us. Well-designed assessments using ChatGPT might be in stages, where the first stage is to use ChatGPT 3 or 4 to help draft an essay outline and give feedback on draft paragraphs. High level cognitive skills are needed to refine the input instruction to ChatGPT so that higher quality, more accurate outputs are generated.</p>
<h2>Build-for-purpose for your industry</h2>
<p>Dr. Chander founded Lucidify, a continuous remote brain monitoring platform, for the detection of delirium and other altered state of consciousness to support brain health. A finalist for astronaut selection and an alumnus of the International Space University, Dr. Chander has performed remote simulations of trauma rescues, anesthesia and surgery in Mars analogue settings. “You.com is the private, personalized, AI search that liberates you from endless search result links. This is because You.com is powered by leading artificial intelligence and natural language processing, which allows you to have human-like conversations with it,” it states further.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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" width="309px" alt="generative ai wikipedia"/></p>
<p>This book is about how organizations can become more data- and AI-driven, helping them capture all opportunities. But in this chapter, we’ve seen that there are also potential negative consequences, even though most of them will be <a href="https://blogs.nvidia.com/blog/2023/08/31/generative-ai-startups-africa-middle-east/">genrative ai</a> unintended. While it is important to remain vigilant for those ethical impacts, before deciding whether to use or  not use AI and big data, you should also be aware that not using those technologies might be worse on many levels.</p>
<h2>GPT-4 versus Bard</h2>
<p>NLP techniques enable computers to analyze and interpret text, speech, and other forms of natural language data. NLP encompasses tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and more. Google’s SGE emphasizes real-time data, ensuring that generative responses are up-to-date  and relevant. Users searching for information like “mortgage rates” are presented with the latest data, providing a valuable resource for financial decision-making. Even transactional queries, such as “mortgage calculator,” generate generative results, enhancing the user  experience and providing a seamless search journey.</p>
<div style='border: grey dashed 1px;padding: 14px;'>
<h3>What You&#8217;ll Really Have to Know About Generative AI &#8211; ThinkAdvisor</h3>
<p>What You&#8217;ll Really Have to Know About Generative AI.</p>
<p>Posted: Wed, 30 Aug 2023 04:47:38 GMT [<a href='https://news.google.com/rss/articles/CBMiW2h0dHBzOi8vd3d3LnRoaW5rYWR2aXNvci5jb20vMjAyMy8wOC8zMC93aGF0LXlvdWxsLXJlYWxseS1oYXZlLXRvLWtub3ctYWJvdXQtZ2VuZXJhdGl2ZS1haS_SAWFodHRwczovL3d3dy50aGlua2Fkdmlzb3IuY29tLzIwMjMvMDgvMzAvd2hhdC15b3VsbC1yZWFsbHktaGF2ZS10by1rbm93LWFib3V0LWdlbmVyYXRpdmUtYWkvP2FtcD0x?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>OpenAIs beta testing means that their chatbot has a more robust ethical codex now than just a few months ago. Both OpenAI and Google have worked hard to ensure their chatbots are free of so-called ‘hallucinations’ where the bots come up with facts rather than tell when they don’t have an answer. Google has already felt the massive economic consequences of AI generating misinformation. When Bard recently made a factual error during its first public demo, Google’s stock dropped by 100 billion USD, making Google employees say that the launch was ‘rushed’, ‘botched’ and ‘un-Googley’.</p>
<h2>From Scripted to Spontaneous: The Rise of Generative AI in Chatbot Technology</h2>
<p><b>Yakov Livshits</b></p>
<p>Knowing all this is key to understanding why it puts corporate data at risk, why there is a push to regulate it and why the FTC just launched an investigation of ChatGPT. Learn about our relationships with industry-leading firms to help protect your people, data and brand. As AI continues to evolve and shape our world, the term &#8220;corpus&#8221; will become increasingly ingrained in our vernacular. Conversations surrounding AI and its impact will invariably include discussions on  corpora—debating their legalities, assessing their revenue potential, and exploring their influence on the development of AI systems. 2023 saw a surge in discussions surrounding artificial intelligence (AI), particularly with the advent of Generative AI and advanced platforms like ChatGPT in November 2022. It seems like every day brings forth a new article, speculating on whether AI will bring about the downfall or salvation of creative fields, jobs, or even humanity.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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" width="301px" alt="generative ai wikipedia"/></p>
<p>He is the Team Lead for the ASPEN Planning System , which received Honorable Mention in the 1999 Software of the Year Competition and was a contributor to the Remote Agent System which was a co-winner in the same 1999 competition. In 2000, he received the NASA Exceptional Service Medal for service and leadership in research and deployment of planning and scheduling systems for NASA. He is the Principal Investigator for the Autonomous Sciencecraft Experiment which is a co-winner of the 2005 NASA Software of the Year Award. In 2007, he received the NASA Exceptional Achievement Medal for outstanding technical accomplishments in the development of the Autonomous Sciencecraft deployed on the Earth Observing One Mission and the development of the Earth Observing Sensorweb. In 2011 He was awarded the innaugural AIAA Intelligent Systems Award, for his contributions to Spacecraft Autonomy. In 2011, he was the team co-lead for the Sensorweb Toolbox team, which was awarded Honorable mention in the 2011 NASA Software of the Year Competition.</p>
<p>Whatever happens, ChatGPT is humanities first taste of AI and, despite what Bill Gates and Elon Musk have to say on the matter, OpenAI and ChatGPT are not going anywhere any time soon. The largest portion of ChatGPT users hails from the US, constituting 15.62% of the user base. India follows closely behind as the second-largest demographic, representing approximately 8.95% or more of all users.</p>
<ul>
<li>Not so different from ChatGPT, except this time there is a generative image model attached to the language model.</li>
<li>High level cognitive skills are needed to refine the input instruction to ChatGPT so that higher quality, more accurate outputs are generated.</li>
<li>He is also an Adjunct Professor at Shanghai Jiao Tong University, Conventry University, and Universitas Indonesia (UI).</li>
<li>We recognize that AI tools can make mistakes and that they have the potential to misunderstand important contextual information.</li>
<li>The full AI ecosystem, startups, academics, investors, business leaders, all the big tech companies, and the brightest AI brains as speakers.</li>
<li>Class discussions included my expectation that students would use Grammarly or other proofreading tools to support their professional writing.</li>
</ul>
<p>The first layer is the application layer, which consists of the applications and widgets built on top of the underlying technology that serves a specific purpose or solves a specific problem. In response to these problems Microsoft has moved to place temporary limits on chat sessions. The company has found that chat sessions involving 15 or more questions cause Bing to&nbsp;become repetitive&nbsp;or prone to being ‘provoked’[13].</p>
<p>The second part is to do with genuine concerns about the safety of releasing generative AI into the public domain. These concerns were made clear in January 2023 in a blog post [7]published on the company’s website and signed by Google’s leadership. Most press coverage did not give much weight to these fears over safety, focusing instead on the need for Google to catch up with Microsoft. However, in the months following the rapid roll out of Bing Chat and Google’s own generative AI chat bot Bard we can now see that at least some of their misgivings in publicly releasing AI too early were justified and we will return to this later.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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" width="308px" alt="generative ai wikipedia"/></p>
<p>One way that might help to communicate this to students is to relate ChatGPT to the well know site Wikipedia. You could suggest that students imagine ChatGPT as their first steppingstone, similar to how they might use Wikipedia, to provide a broad overview of a topic to help understand basic concepts. There are many misconceptions surrounding AI, and it is crucial to correct these so that students can understand how to use the tools responsibly. Claudio and Sean both agreed technology is still a while away from reaching the ‘artificial general intelligence’ stage and that we are unlikely to see this achieved in the near future. However, there was a clear consensus that this new technology will change the way the world will operate. China has also recently published a ‘Draft Policy for Generative AI’ which, although focused on the concerns mentioned above, takes a more restrictive and ‘China-centric’ approach, while the UK has positioned itself as pro-AI innovation.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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" width="304px" alt="generative ai wikipedia"/></p>
]]></content:encoded>
			<wfw:commentRss>http://www.cerasimply.com/the-social-and-ethical-challenges-of-ai-and-big/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Avoid AI Pitfalls: Building The Right AI Tech Stack Journey Learn Essential Generative AI Apps Marketers Must Adopt</title>
		<link>http://www.cerasimply.com/avoid-ai-pitfalls-building-the-right-ai-tech-stack/</link>
		<comments>http://www.cerasimply.com/avoid-ai-pitfalls-building-the-right-ai-tech-stack/#comments</comments>
		<pubDate>Tue, 21 Mar 2023 13:04:15 +0000</pubDate>
		<dc:creator><![CDATA[asawin]]></dc:creator>
				<category><![CDATA[NLP algorithms]]></category>

		<guid isPermaLink="false">http://www.cerasimply.com/?p=4257</guid>
		<description><![CDATA[Swedish Radio publishes policy for generative AI ChatGPT can be incredibly useful for coming up with the copy needed to fill up your website. You can [&#8230;]]]></description>
				<content:encoded><![CDATA[<h1>Swedish Radio publishes policy for generative AI</h1>
<p>ChatGPT can be incredibly useful for coming up with the copy needed to fill up your website. You can give it a prompt and it will automatically write text that can be used for your ‘About Us’ section or for your ‘Our Mission’ page. In addition to this, if you’re struggling to come up <a href="https://blogs.nvidia.com/blog/2023/08/31/generative-ai-startups-africa-middle-east/">genrative ai</a> with a name for your business, ChatGPT can help you here too! Just like with website builders, it’s likely you’ll have to refine the outcome until you’re completely happy with it. This is great for business owners who are not natural wordsmiths, or want to save time on copywriting.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEABALDBoYFhoaGRodHRsfIicmICIgHyUnJSclLycxMC0nLS01PVBCNThLOS0tRWFFS1NWW1xbMkFlbWRYbFBZW1cBERISGRYZMBsbL1c/NT9XV1dXV1dXV1dXV1dXV1dXV1dXV1dXV1dXV1dXV1dXV1dXV1dXV1dXV1dXV1dXV1dXV//AABEIAWgB4AMBIgACEQEDEQH/xAAbAAABBQEBAAAAAAAAAAAAAAAAAQIDBAUGB//EAEQQAAEDAgMDBwgIBgICAwEAAAEAAgMEERIhMQVBUQYTIjJhcZFSgZKhscHR0hQWIzM0QlNyFRckYrLwguEHQzWT8SX/xAAZAQEBAQEBAQAAAAAAAAAAAAAAAQIDBAX/xAAsEQEBAAICAQQCAQMDBQAAAAAAAQIRITESA0FRYRMycQSRsWKBoSJCUvDx/9oADAMBAAIRAxEAPwDz9CEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBC67+XVZ+rT+nJ8iX+XVZ+rTenJ8iDkELrj/AOOqz9Wn9OT5ED/x1Wfq0/pyfIg5FC6mo5BVcYu6Sn8zn/Ks4cnJjII8Udz2ut7FNjHQuij5GVLpGxh8N3adJ9v8Ve/lxW/q03pyfIqOPQuw/lxW/q03pyfIj+XFb+rTenJ8iDj0Lb2hyWnp5Obe+Im1+iXW9bVW/gkvlM8T8FNxdVmoWn/ApfKj8T8Ev8Bl8qPxd8E3DVZaFqjYE3lR+LvgnDk5N5Ufi74JuGmQhbI5Mz+XF4u+CcOS8/lxeLvlTcNMRC0zsOW5GJmXafgkbsOYmwLCewn4KeeM918azULZ2fyamqLhj4mkZEOLgf8AFSV3JKpgLcWB2I2BYXEX4HJZ/JhvWzxrCQukj5FVLm3EkHdiff8AxVeHkrUudYmNmdruLgL+YKfmw+V8MvhhoXTP5DVYF8cBztYOff8AxTY+RVS4kc5ACNxc/wCVX82He08MvhzaF1L+QNWGF/OQEDcHPv8A4qNvImpIuJICP3P+VL6uE9yYZX2c0hbsnJSdr8JfDf8Ac75UknJadouXxW/c75U/Lh8r4ZfDDQtmn5NTSNu18XpOv/ikn5OTR2u+PPgXfBX8mO9bTwy+GOhbzeSdQRcPh9J3yqNvJmcuw4o/F3wT8mPyeGXwxULek5JVDRfHEe5zvlTIuS87tHRDvLvlT8mOt7PDLetMRC3n8kakW6URvwc75UfVKovbHDf9zvlU/Lh8r+PL4YKFvHklUeXD6TvlSR8lJ3C4khP/ACd8qflw+T8eXwwkLcm5LTsbic+G37nfKnR8k6hwuJISP3O+VPy4fJ+PL4YKFsTcm5mODS+K57XfBSN5K1B0fF6TvlV/Jj3tPDL4YaFs/Vmfyo/F3wUh5J1Fr4oj3Od8qXPGe5MLWEhbkPJWoebB0YztmXfBT/Uup8uH0n/Kl9TGcWnhlfZziF1VPyAq5GBzZKex4uf8qm/lxW/q03pyfIt7ZcehdVJyBq2mxkp/Sf8AKm/USr/Ug9J/yqbg5dC6j6h1f6kHpP8AlR9Q6v8AUg9J/wAqbhpy6F1P1Dq/1IPSf8qByBq/1Kf0n/Km4OWQuq+oFX+pT+k/5Uv8v6v9Sn9J/wAqbHKIXV/y/rP1Kf0n/Kl/l9WfqU/pP+RNj0ps4IThMFkQHOysq6GgHApzVXptCrAUGftcdBcjDnVt867HafUXIxttVArPurZgcBUxk7viulXMxffx94/yC6W6spkckQhVHFcq/wAWf2tWMtrlZ+K/4N96xQuV7dJ0cE4JoTgint1UzFA3VTtVZTNTwo2qUIMqRpD3XSUVWI6tmLqnVS1f3h8yip6YSzNaTa+9ebPuu2PTpa+n+zMkDRj1Ft5VmgqnENErcLyL2KoUMctMw864OjBy4gcVLtGldOY5IpMJab9hC81+K6aEkc8dQ54s6Jwv23Us0fPx2Y6xO9Oo6wPJieRjAzHHtVYUX0UPeHlzSb2O4LP+Vnws08josLJSCToU/wDh5fKZGvtkkLGVLG52zBuNe5O58RS81iuLZH3Kz5n9mb8HRziQOjJ7HWKY6m5o/ZAlvk6+dPkp24AIxZ1737SpmyOYSxxAdbOy1xJ/pP8ALF2jTtkLZBqOCggnD7tcPHetWtgDWF4Nhph4lZjmakDNa6nP+zU56M5kQglg1KkGGVoNs0lPNi6LkszHNtgG9a53r3T2+jQ8tfYDJTOFwSLXSjPsKrxte153gqTnpbwfTSOzDhpvTqqM4Oglf0mkApkcnNgB5uE3zuf2NeySOXDZrzmdCoZaU86HhxA3hLVUQkc11yLcENqmh/Nk57vgp9w+qkjma+7b5jUJkULIWudcpzadjHOfbMplPVNlDgRpxTrrpe++zsTJ2e0cEyaQQBuEJZiIo+g3RPjeJWgkWvuKvGvpP8n4WyhriNM1Unkc2TCAbJ9TI9r24QrDXB2uoT9e+j9uu1eN1weKq0E82ORrmdAb/cFZMTg4pzX3ac7Fa6ZWafNzCDldXAQc1l7PYWvaSdXaLUIWbNVfZpbI+4Z/u9XwqGyPuGef2q+vo49PHe2dV9cqIFR7QrGtqDGTY4bpWuuLhYvapEJoKcgcE5qYE8IHhKmhOCoUJUiVVGTTOubq3dZLw8ZsTRNMNy1tNOipjkrAWRs2dxHS1WuNFKKe0uquZgZeoPcunrWFwAAuSsespBTSxFzsRkJFgNLW+KwhQMMrOH/YXR3WTNTxx4HzzMjzyDiBfszK0HztAa64LHaOBuM9Em0tT3SpgKVrgRcG47FqUlcbypN6o9jWrHWpykderf2WHqWWsV2nRQnhMCeFFK3VTsUDdVOxaZStUrVE1ShFZ1Z96e4KoHuZMyRv5VbrPvD3BRU0jRURtdoSNV5s+3bHp0UU8VbCW311F8wVAJRR4GOcSw5XPtUtVRtga6WFvS6xDd6lpZmVMbS9ueRs4eteW/8ADpP+SuoYnv55vWtqD60uz9oMmDo3DpNNiCNVA6WSKowNjJjcL3G7itSONkjbNABcde3ik/8AhVeqa2FgewWAPS7bqWMsk6Vhe1s1G2SzjG/OxsDuKfFSuMxcDZmG57+C1q71O2eNfRYGvjYHOOWKw42Uzwx3TcTlc5alQSVLebdjIDRrf2LHruUXSIgaGt3F2vgt+nhc+cZ/szlddtT6S0D7SzN/SssKp2lG2Q4SXDs08yxp6p8ri57i51zqb79yaYX2vhNvMF6cP6aT9k/Jlf1jYO0YnA4ThJ4hXqadpa3ptd3FcjmEjnkG9yNPFav9PNajM9W75ddLA7GHNKlDg643rnaXbkjMndNvbr4rcopIpAZWnvG8FefPCz9nTHKXo5jBG1xJzSOa2VoTmSNlBFk2VwjYA0LPO/tr2+iy1TInMZnYqUU7MfOWzsmgB1iRpmLqP6S8TYcBwkarPPt2vHubBWYpHNwmw3qaVuFjsDRc5qRzciWgXKp0T5OljGV075h1xTqSRzmdMW3X4pavGAMCfUtc6PoHNJGSxrQ837U+5/ZfqntOgd1lVkhfzoLXZKSopnOc0h1rKTnAHYSc1ZfeJYcyQOu06hUYtnuY+R5kJB0G5WWxNuSSVHTV0cpdHe5GvaE149HfYpamMPZic1ue9wC0XV0P6sfpt+K5Lb9E11TSRXsJHYSeF3ge9WarkbEx7GiaVt52wnnIw0uv+aM/mAXox9DHKblcb6txutO02TtCAQtBmiBz1kbx71e/idP+vD/9jfivNYuS8Lfv5pQXySthbFCZHYY34TI8DdfcFHPyVw0U9Q15c+GQgtwFt2DD0rHMGzgbL1Sa4ee3bf5UzxuqMbJWHogZPB96joNttbZr3twgcQsyTkZg+jYpsGOKSWoJbcRNYGXsBqenZMpOTMFS6F9NUPdA+QxPxMDZGODC4ZaEG3+7sX0+d7HZM2hCRfno/Tb8U4V8P60X/wBjfiuL+qGEvEkhyqIY2FoBD45XACQeY+ISzcl4BU/RmyTtkc2TmzLEGte9mgB3g559g4rXiu3bx1kTiGtljJJsAHtJJ8VYcQ3rEDvK86ptmNpNo0EZcTMTG+ZthaNzswzvA18y6/lHVxWbT802onkN44jmB/e7g0Z/7pw9S3HKSMZZWdNT6SwXJe0Aam4sO9SxSteLsc1w4tII8QuCk2O6kbWg54qXE5wbZmMvza3sGS3+Qv8A8ez97/8AJdZ0mGVrokBIlCror7PiBbmrX0VvBUKWqDBYq0K8LQmFOBmFINFHFMH6KQKVKo7UmlZG4w2xkEAkXt2hZm1gQNnYiS62ZOZJwtuVq7R6qyNsVDC+hDXNc5pN2ggkdFuo3LEvcT2Xa+khlMc9SRC5nRGNzcLhe+Vzkm7VY7BFBAy0TnBxkBGHW9h502upIKqZk3PNBY3CY3m1syb23HPz2CTadbCyL6PTkPkc4ZMNw3pAkk7tNO1aStOOpjN4xI0vDTcbxYZlVNn1sMUUcfOtkdp0b+KsGMMjLxHd+HO2pJCj2RRhsDMbBjHEZpEjneU/4t3c32LIWtym/Fv7m+xZKxXfHo4JwTQnBRSt1U7FA3VTsWmUzU8JjVIEVnVn3vmVcQc5I0b9ys1v3vmVQvLJo3DdmV5s/wBnbHp0ezZJ4rsnHRabB3EKfakMtmPpwLg5jsTucbVQEMdYkW7QUyke+nY1szwd1+3gvNe9uizTznRws62Y+CpwiaKSQuIMZNxbVPraFz5WzMkIsMwpqSrY8lpsXNOYWev4UlXDzzAWOs4G6lhqMBwPcL217FDORB0y7Jzsx38FS23MwQl4AL39AHsOvqW8cfK+Pt8s26m2LX1fOSOsTgxEtv7VRc5KVG5fWxxmM1Hjt2lZW4dGjduI07d6lqZr4rswvuC65y3G4356+dUiUvPAdYh2ThYkixtYG/8Auiuo7z+o9STWzZJxvbkOzUncFWkdiItiA33tu0RK8OeOy+mn+6oJUYz9S5di6u7JrzDKCT0HZO7uKoEpt1nKSzVYl09BkGFjiwA3zUcTsbRiFiqHJ+sMkIxG+HorRqWOLegV8+zV8b38vXLubiCrfJjYGAW3qw02OeqNA0OIuqzqd5mDsfRt/oU74qnU/OiR9yC3VWJW42HAbFMDwbtvmNVFTx801xLr53zWbzyvXBIYzFH03X49iJ4BKBY5aqWaNs7Mjl2KOZzIGtAV3zudpr56OfK2PC0nI8UGmYXh5zS82x5a4i9tFFJVYZcAabFJvvHs38nNmFyPBMipo2Y3BmZzJCnAGZsqFJVvdJJGYyA3Q7rcFrvpLx2x9s1ThU0jw0ucxwLWjVxDwQ3vOiuS8ppS9+Che1zZWzzhz5HEYDfQj7MdttFDtt4ZWUTnWDWvDiewPaSVqVlDJDLtaokAbDLA5sb8Qs4uaLAedevHOY4zX/vLyZ78rtlxcoJWlgmonPLnvkpulLG60jsWEFvXaSRlvUsHKOsvd9I+Q/SHGXouDXF7MHMkYTbIjI3OQWtGYpf4bTyWa8QwTQv/ALm2xM87R6u5UdqSOZS7Qe3Jza4EHtGAhWerbdac9qI5R1T5Y2CmL5I/pAljLXOL2SvxOYW2u0DIeYdykp9sTQiF9Ps58VLE4zEDnXB5LCMRkI0AKvbRcyKKo2iwgGqhjZHnmHuHT8A0HzFM2jE92zKctZUG1KLmOTDGBhF8bd+Ss9TaeSlDtusjpWMkpJXRxzMmbI5rwAxrw8Mvhtbt4FVaquknmirIqOZojkMjnB8sjXEODrAkWaMjpx7F0/PYGhzDK+WOiY4QYrRvabjFh3kW9YVXYYllpaYdOMBjgyaF7SwDhIx2V8rb8+CfkrN9SucbVTyVza1tPI7HKZGNAcQ62rQ62dluR7dmjldI3ZUjZJT0nHnS52V7XLeA0HDsWVtGV0ezaFzHlrg6cBzCW/mOltyn5VV8sNdG5r3dBsbw25w3z3douPOlkyvKW3Lj+Um0OVM1RTTM+iEMIwveHOIYTx6OXnXQchT/APz2fvf/AJLnOVtS1rIoYmYGzf1Ena52l/X6lZ5GVDo8DPyy4rd4KcY470vpak3Jp28dSxzi0OBcNylLgBcrmT9ltVgGjm+4/BaHKOowQd5Ty737OuzQ4BwJ0V5ssZF8rLMcy7bFW6ekAgcOK6FadMWkdFTtVXZ0GCOytNUoqbR6i5eGJpqSbZ63XUbT6i5Wnd/UlYsNL80DHyMD2g5j2rep9nxRm7GAFYpzljH9w9q6WyYxLCAJQlshbkSRxPKYf1b+5vsWStjlQP6t37W+xY6512nRwTgmhOCilGqnYoBqp2LTKZqkCjapAis+u+88ygjwmVjXaE2Viv8AvB3KrzBfIy3WBy715s/2dsenQw7OZSiSVjyBrYnIDgpjzVbDxGvaCoaKqLsUEzSHDI30ISVjforGuiZcXAsOB4rz3e/ts+GtEMohdex6vwVmSjjYJJmN6RzNtfMlicyQY8PStodQq9DUyiSRr2EMBydussfw0WjqmVMdnN7wQsnlKGtfGxuQte27gt7aLXczeBoLgcgPWuW2zK50vTFnAAEX7F6P6abz3OnL1L/0s8lRuUzIy7TJvE+4JJnsj1Oe7e49y+k8yAtKa4G3VJ84+Kjlr3Hqtt2uzPgoPpEp1dbuAU8o1MLUojdvaR5x8UjmHgUmKTy794CBO8dZt+7IqeUW4WIym3VgPY/XXtyco5KcjMG47dUZaPJ+UmR0Qdh5wEA9oFx7108A+jwjnH4iNbritmz83URuOVntvfcL5+pdtUQx1DLXuAd3FeT15zz07+leDKiNkxa4OIsdxUpmaHBl87ZKCofHEWC3ZZOp4g6Quw6DeuGuOem96p7KdrXOfnmkjlbK0jxSMqMT3MwnLepCAxjsLe3JP57X+DXvbBHdoOSnAZKGuLe2xVaJ7nxgvba/HeitqXjAWNvnnZTV39rvj6LW1BEjQ1uvrUrTY3tmpW52uLEKhM2d1SAABHbVJz0m9dpI3Oc45b9FNfI23pzBrxVClp52yyue8Fh6o96d8zheu1Wq2GatzC+QstcCwvqkdyOaQGmpkLRoC0WHcLrap7Oc0g71cXT82fU4Z/Fj3WFRcg2ysa81UgO7ojKx3Zqwf/HTDe9XJnmegMzx1XUbG+4b3n2q+vfjdx5L287rOQzYyGfSZCLXALRYea6h+qQtb6TJbhbK3iuz2t94O5ULLNyppzP1TF7/AEmS4Fr2ztw1TRyUaAWiokAOoDRY94uumIHFJhHFZ8qmnE1WwSw4TI4t/LcJ9Fye59xHOuuBvAJ9a6jaNLzkeRzGiwI5XMN2kg9i45epnjl3wnSf6nA9aeS+gu0fFaUeyvosFNhdidFLcm1snOzV7Ztc2VnWzA6V9FMx8cpczPLeNF28vKKq7UbbaVK7iPZ/+pvLB5PMsGpJVzaEWKekfqWvIPcR/wBKttiPnNoUzNwF/wDfBZynFRfhpy/PgrjYnAWTtm9Uq6uzSvBcZFWGoQ1EUtq9RcnTn+pK6va5+zXIU7v6krPu1Om1FnUQ/uC6hc1Ri9TF3+4rpUhkEIQtMuI5T/i39zfYspafKP8AFyeb2LMC5Xt0nRwShIE4KKBqp2KDep2LTKZqkaomqVqKoV/XHcqhmMckbgLgHPuVzaHXb3Ku0AyMa7Qmy82f7OuPTq+hUxXYRcjI9qgpZJAAycAO07Ckg2b9GL5GSHBYHCdBxUsrGVkIwusdWuG4ry2Tp0+1WanmbO18bhzduldXBLjY4NNjoRwKYyXA4RPPStl2qFtCIXSTB5zzsTkFGz6Fz4GASuBF9eC57akYlqZD+UO049/Yt57o6qGwOR4agrFnpbymIOwNxEYibm3Af3HtXq/puMra5epjbOGbVVBuWRjMau1DfiVllpuTmSdSdSumqKNsYDGDLcsypZg7PBem5bMfT0pMZfcp2Qdiaycg9neCr0Mocpt0kVhT2Kjmj4BXZzZQvmAHamysqdp3tRBM4agkesK5JiJ6rvX8FJTxZ3sfBblccsZVWRoc3EM8sl2LHCGnjLG/lHrC5ipga03jycdW/l7+wrodn192Rxv61gPUuHrcyL6eF3VtvTwuc3MZi6QTv57CGdG2ZRUskLmYLWvmrAyNt68tunSYnHQkAXVWnEha4vFhfJPpopMb3FwtuCkl6bCGusnXFEFXjLLNKTm3MDS4+ftTmQGOMF7tPUo6lhkDQHWzWvpPssvOOkZhcAFba4XsTmqzsMZaC7XQlMEF5ceI6J2iZsBDnEu7k1k7ZMTQ4XGRtuTROHXF9MlSpqJkJe8E3cb3O4K99m9cRdpIubkaLnNy07qhRTB7m8bq6VnK23lqak4amxvuG+f2lX1n7E/Dt7z7StBfSx6jxZdsja33g7lSsru1R9oO5UyVm9hMKMkliUvNKAsFzu2aUMkxN6rvaui5oKttClMkRFrkZhc/Ux8sUsYmyy4vMTdH6+ZdTTwNa84ej0QFyVBJzc7DpY5rqoKlzybN6N9eKx6N4SLTmaXGhuCFU5rHXMf5MZv33Clp6q8jozkRmL7wrRABxWz39y9HaqtPUlvRAVr6Q/gqVJ1wtSwW1Op5C7VTNTI9E5qIqbVH2a46Nv8AUrsdqfdrkI/xKz7tzpr0V/pMPf7iupXLU/4iH9wXUpimQQhC0y4jlIP6uTzexZYWnyjH9XJ5vYFmhcq6ToJwSJwUUKZiiUrFplM1StUTVK1FUdoddvcqM8RcW21BuFf2gOk3uVKaYxuY61+lmvPn+zrj06LZW08d4Zm2eBmCNQpKiFtHHjiacN7kDPVWI8M0WJtsRGvuTKCpfhwztscx3rzV0ShkdQGuI6QzBOouoYJ+m+J7SCOIyIKKqKZszHRAFhydusroIe0jLFb1rGvk38M+tpmxRDmm2sd3jmqTYhI8YsxhNj4ELTiErY7TAAm4yORWXECJYx3+oHJen0bdaejCeWFitPC9j7WJbuOfA5XUTogekCO4/HW62phl3Z/H1XVGWmDs25jsXocvFgzRlt7uukgaQLnLtWlJTW1UYpQ8g8L2F+OXsTeyY66UJyLXLXemPlUIcciNFfqoiq1PHh6PgqmeOqGgXvfPuUsMdjloU7mlLGLcfBXbHiJoRcG2dx4WTWxl0rWt1T6l2Q71Ps6wkfI7QdEd655Xh39PjG1sjoNaHOudL9qiFKXTh5eQANErqdkjmOJNgnS1DBJgC8s+Y5fyXnGuLmh2YyyUdJTCFjiXkm989LJ8VOxrnOOpUbJmyBzdynXXS999iZjZ47Amx4JsjGQsaBuy71I8thj6I09acMMjQSO3NX/DP+VV8LHva5wuAnOmAfhCdVS2e0BuqALOvZan30n8GBg6Vh2qOGbFcEJzXG5yS36JsBdW/afwmpgGvYAPzLRWZQPJLcQ36rRWM9y8t461w09ifh297vaVoLO2J+Hb3u/yK0V9LD9Y8WXbK2r1x3KlZXtq9ZvcqQWcuwAJyS6FAtk4BNw9qURoOc2vShkoI0cbrpIYw0DDkOCpbWog+O46zTcK3FE6wuVywx8cqhtRGDNE7fcj1K8247QqVS13RLdQb+pWaWYSNDh5xwK7TsR0EOLpK9zZVXZoOEq7crahgspGpl0rXIirtT7tchH+JXXbUd9muTZGfpGJZ92p016b8RD+4LqFy1MPt4v3BdSmJkEIQtMuJ5Sfi39w9iywtXlL+Ld3D2LLC510nRbJQhLZZUKVijspI1UqZqmaomqVqopbRHSaqjgC5oO82VzaOrFn1LCcNtzrrz+p2649Okp6F9O4va+8ZA6J3FW6mIVUP2b8LtxHEbis/Zu0xK7mZHWcBvVkMZRtc5uLBe51OXYvPe+WuauUspjLY5HXcRkeKjmpHRSSTh5LSB0dwSVLYqh0UuuHMW7U6k2ix0j4Hat47woXfZZCyrgwtdbgRuKgdShps7Nwz8/EJ0kcVIxz2CwvcgJ0kwma17TqOC36eXjfp0wvijIUE4bbMA94CmJVSqevTvTpOWXOcT7NyVym5tmG7gDbed6y3VYY47yVWq6h77ZHwWpDzkbFa5ueiynlpOWvYVBIZTHmD2myr0s5b1h51qRnLOfDYjaOCkCqQVTXGynusVNyllFwtOgp28yARldVaCHG/MXAWnPI5sdmBcs7/wBsTy4FVUBpYA3sTmMbixFuaawGzS4ZpHve6QADKy4/x2hGT4pHNDTYJ5IYx1m9qUOw3tqoqcSFri7S+SnfMP5ELi5l3DJFXI4YS0Inc4ss1DSQAHEXV/1e3wd8e54dc59YKu5r+c7EPiOIEGwUhkAvfVNzHn2Zv2jF81XZiF08GxJukxlPKThyucTQOOJp1zV9sw33CzIRmM876KZpJdYErNsqz1K6PYZ+wH7nf5FaK5qJ/N0wka4hxeQBxzzVyZ9YGBzcJyvbevo4ZzWnnvabavWb3KioJtqukaCW2c0ZhNpKxsjMWmdrKect4JVpKmB4IJByCgpKwSOItom4q2ClxJhcBqbJcTWgm4sN6okLC4WO9MgGVicxkkiqmOtY66dqeRheODvan2H2N1XpxgneNA4Yh37/AHK3ZRyM6TDwPtVqHbOf0SrnOrBpqzCM1Y+mXBN8gnkumvzwTedCo0zucFwclJMxwaVdmiVzw9hA1WRHs52O91Y5pwbiuVXbtPp4N6zdrI0KekIljPBwW+udp6w87GOLguiVxMghCFtlxnKUf1Tu4LKAWvykJNSb7gAO5ZYC510gATrIATgFlSWTowiyWNWImaFK1MapGqintEZsVGSTA5h/uC0NojqKhMOr3rz+p27YdOrFPG4GRrQXubqN/YqVHUyuaedYWtuWjFvCXZjJYiSSHQ2BHG+9WNqROmhPMuAdqO1eW96rcQVTpGSMMbMTTk4Dd2q7CGkE2GIjXf3KKmxRtYJXAutqOKaaeQTGRrhgIzb2rNXdJSyPcC2VhbmRnoUu0OcaYzEy4vY9ylm+2iLWus7ceBTG1BhjHPuFwMyrObx/ZKga7Ig5EHRU612GNzlK2sD5C/RrrAX4blDtg2gPevdJeNtY5cOYkncCXNbisdOCnp6yeQdUXtlkc+5aGxqZpaS7f8Vbmha3TI9hW2/Txt6rFMs+jmkeYgKu6VxNubv23staa3aVDHDncpxG88brmqJZhscNnd601Sr5A0Ab06WsaGXB3JrbzWyNjZdyx5acybK7TMcI7uK4mDbE0TjgItvBFx3qyeUk1sLw0tPDIrll6WVrMzjrajG7CGnK6kd0Ta+ayKLbdO9jRiLXbw7irkbY5JGvx3A3Arhcb1W9+8TRROLnOLskPeS0hpTDUML3MBzCiY0Rtcb775qd99iSMYGDEb8exE7MViCow5srQQcks07GFrdLq++52ntpJjAIaTmUydl3WGnFGBriCUhqBzuEZ2GazfTmU25ZzfZmG2XrTubaAc+lx3AJ7XAuJI107FXZOHFwG5Tw/wDFPD2oYQ7Ia3VyGzR2qCItbYAZk+9SDJW4zfDeE96n2d9s+KP8rHOJ9K66SulwQyO4NNlh8n7DE49vrK0dpSYoXNF87e1e305rG15cu6ymUYEMZIzcCT7lnPgEb7N35+ddDWZNjbbRtlkPGKoF9wXP1MNYyHsiosTIZcWtzZLsEXEj+Jt4KxIzUt3ahRUb2RwuaDmMRSTVn0ulbnDUVWEE82zW3YopnOe8QtPRc/1K3sOHBCZDq7PzKjFcOEw0a5o8TmsZb4vyy6CSANEQaOq4KedwItfMZhUtrVnNxgjrXFglooTHEZJDd5FyT7F3lm9RpoRSBwuCnOWSJGwPBJyOo7xe6sTbUY1gcDmdArjnLORm7VYRA/BfFbK2qi2LFK7Z8uMOxnHa4IOmS36ama9uauxwtaLLq0pcm4XMpIw8EOAzB11WoW3TGEDIKUIijtGMNjNlyI/ErsNqfdlcePxKl7anTXp/v4v3BdWuTp/v4v3j2rrExMghCFphyXKb78ft96yAFrcozeo8wWW0LnXSdFATgEAJ1lFJZKwJbIjSIlaFK0JjVI1BU2j+VZ1UwuAtqDdaW0R1VQnlwYXHS9lw9T9nbDpubMrWSx82T0gLEdilhiFLGTjJZe+e4cAimp4eabLYB2HXeoJasPjLHNvfW+i88wyyusZw6eU7qzVUbagxuxkBpv0TqFFVbSbEC0dI6Kj9L5tmFpsBuCy5nB8gBcB35L0+n/S6/dzufw1KaUszBwg5lUpZzUz3ebxx8dC7/pSVMwbC524ZZFV6EOOLETbhkvVMMZdyOe6syVF74dBp3/7ZVKmsxDpdhUrnZlXJtmialjc3JwB8+dj7EzXGW9KmxpgS71LVlZG9t/WuVa58Lje4/wCrrRG0cIsbBtt2emfrt6lzs93XDPXFWpIWDRV3vABKoTbRB1Nwb5jiq1TtJpb0c+IKeLWXqRXrp8TiL71VmmNgNwyTmQOlddoNr6ncn7TiEeBg4XPef/xbjz3fajdPceKYnOWmStNt6tR1WHQ599lSTmqK1KfaD2uxBwBWnDtwkWeA4HgubaAnsWcvTxy7N2OxbtSHm2hgsRu0VlobIGuLbjUXXFNcRoVoUe1XxEC9xwOi5Zeh749tTP2rpaqrtI1rWHP/AHJPZk4m2eiZBUB4bI22ngoJJ5TOGhvQI19683+XQrKhzpnNaw2A196lY4NBy19acx5aSoow92IkWHvTW+Yb9qWB5LgbZXCdUTYchmU1r3Ai3Ee1JLTl2mt81Lq3hdWTTY2APsibZknNW9ozYYzc55ZedV9jG1PbeHOHrUppMYcXZk3XsxmsNR48u1LaFW8luYaPEqk/ccdnHfZXqyDFh/KLa71U+itde4Jscs1zyltSlDnWzdnucPeoH/qOGXVePerbIANAkfG0ghwyKtx2qqyUsjmivkBdvcVTjk/pXcecC0ZYLua7VoFj3LNmjtDIAc+cv5lyyliU2tqzK8O3CwHer+0NqO5ottbFkCqtU1gEMQNgM3HvUEkWOS1yQOqOzis7uO2VkEkCSU3eTYNOVgpaUNlmc94sBkwd29UZJcbmtBuAclNK/mwbLMy1lyOuoY7t1VvmDxVfZ7wGq5zoX0XQ1kNjdSpGvB0SqiltZ1oiuRbG4y4hoF12048TLcVjy04juFitxFSOvUQj+8e1dguLoHXqof3hdorimfZUiVItMOV5TN+3H7R7SsloWryiN6k9jQsxoXO9uk6KAnWQAnAKKbZDE+yRiRErVK1RtUjUFTaOje9VHxB1sWgN1br2EubnkM1WkPgpPT8st1vy1NHOkNuwf7koyb65poyu3cR601huAvRrTCdo6N1TnlYM3AHJWZ5MMZ7lz3OmQAE6uI9aDWr5T9DuQBfOwVmE2bfLRVNtdGmA7laceiAio5TYg8VtbElxQvbva647j/pWBVusWD/dFY2TW81MLnouyd7is5zcawuq0K6nY/rAFZclAw31twvl/ua6GrgvpksqWA3Xm3XquMrEk2OL5OIHcnt2dG22V+9bEdOnS06vlWPCM2KIDQABc7tGcSTOI6oyHcFtbcqebZgb1neoLnF0wnu4532KEFASLq5hOYmp7VA4p7cgmDVIOkewKiZpsLlDDv3lMebkBSBVF2kqZGuAY62Y10866lt8iciuLa7PJdTTwc7JFM6RwAZoNCbLy+vjO3TCrMMT3PeXOFt3wSFxAIBz96UyNxFodmFDS0dnOJfluHvK8/fbZdnwv1ccsQt46rRw2JVCJ4JADtHDTvWjKcys53d21jxF/YTbxu/c72rTDVn7AH2bv3uWoQvfh+seTL9qy9oi2Hzqi0a96v7WHV86zw9TLtIcVE+S2oyT3SAKCWdo1KzVRGQG5abKCZocw3yOqJpcILo8+IVZs4kFg433tXGxNldd0gfbRpNu3RJEObc55cCbH1qKUYW5OIxa8clmmsIBFzY6rjMcvLbFWI8iCCMs/wDpXZpgSTq05XWUHANuMvensmu22gvcX49itx52vGneU7CXWurop+1V6HrLSXvdNm08dgpkjEqqK9Tu71h7Td9oVuVWo71hbU+8Wa3iq7Nbepi/eF2i5DZg+3iP9wXXq4s5FQhItMuT28b1Lu4exUAFe2zc1L78R7FTaFzrpOigJbJQE6yim2TWBSEJrURI1Oe8NF00ZKpPJc33blrGbDZHl1ydVCc0SOUTXgE38y6oQGzgD5k6PWyjqTYtPaFPbpIK215MMJWdsGEOu4i5DslLyhk6AHEqfYDLRNPEk+u3uUWE5Qn7MDtCtW0VPbRu5g/uHtVwHIKirtA9U8ConKTaPVKgBuLIOp2RXc9DhcemzI9o3FWDFdcdR1hikDh3EcRvC6unqw4XvfguGWOq9Pp57nKcRAKltCdsTHPccgP9CsyTWC4jbm1DPJhafs26dp4qY47azy8Yo1c7pZHPOpPgOChY3VSOFm3OpQBZg7V308lpibZSAIwoiOye0ZJ2FOsimO07SnNFgkAue5K/cFUIwb95T3G3eUE2zKazyj5kRIMl0Wza5gjjYTna3ryXONXScn42OjxOaCWPNvALj60njy3h3wvQ0sYlLyPhfikE7HOc1pvZDqrFPgaw6Z5KxCWsxnD1tSBn3Lx8+7rr4RU8UUUZ4k3JPfkFdeMys6kqOcx9AgA8MloE5lTPe+WseuGvsH7t/wC8+wLTKy9gH7OT959gWqvfh+seTP8AasPbtVzZZiacOfS+KxHbUYcgCSVs8qoXPjja3eTfwWPT0GEdLPuXPPe+EVpa1rTdwcd2mSkjr4z1XDtBVzmG6EXUL9nxOGbAs6FOecN6cVu1u4qF8TajpRkslG7RTybMLSSw3HknRZFQJGvxZtLdOKlSrcT3X5tzSSBv1FuCpVNKS/o7zvyzV9k/0hlx0Z2ZjtUU1WyZmFwwy8eKlmuT6Uml0bRjFwDk32lLcF5fY83qAdb8FZgeybnOebY4Q1ptpa+az5XgWaM2jzXPFXSaem0WWav88FWoACDdXMDeBXfToRktzZThMbEOClwKoqVere9c9tp+GRdU+FrrX3JRC0G+EX42UsWZacnsRsjpWHA+wcM8JsuvQoZquNnWeB51Zwlu06RZc23IgDhJcd1goptuMw9DEXEdmSbNMvarsVRIe23gqrQnyyF7i46k3Q0LDZQE6yAnAKKYQmNCmcFCXWuVYhlQ/d4qo5yWRyhJXaTUZKVE4f72JXGyRsgOR1RUNSfswrbjcAqnJ1Hjh7FHTvJLTi6zAfUgo7eku5o71tUDMMbRwaB6lze034pbcMl0ziGMDexFZ20Dd7e8K60qjVdYd6ts3IIq3qlUoXdEdiu1RyWdEcygZUZHsKsUu1HxlgBGFpu64vdvBRSDELKlLGbW4necksN66Xtp7ffO0saMDD4kdpWZCy5UrgD0WC53utYebgpo4g0KSFyt7V6k5gJ0osAOxRE4n+dTzdZVDWjJAapGhIQgZZNmdZTNCrS5vQSxNsEjc7u3J7xlYb/YmWvkMmj1ohB0jc6DRLe6Dn3JTlmdEC33ra2E+TJjBe7ru7MliNzNzoFucn39cXscretc/V148tY9tyIljzx0Pcoqd0z5JLss0Z33D4pkMEr6jEXgMAz+Csh+IOaHd68WtOxkz3c2Qy3EjiVZJzVCCF7Q8vcNch71dLs1nOaaxbPJ89CT9/uC1lhbFiDmSEFzTj3HsCtS883qyj/kF7cL/wBMeTP9qTbXVb3rHLwN4Ue2ayd4a04DY36BNys5sx3x+tYy9SbTbUxg70hdh7lm/SWXzY4EKUVQIOE37CkylNrpcFWqoo5BY2vuKiZUjfcDgdya9uMkjTvWblorFewwTdxuLINhLjkbkToO3etaeixtzYL2yN1kz0jmEAkA20UtZPriYZC5pu1wse4hVqtsTXM5pxe0i5HuUhbiBaTcEZdhGirClOAu4a+xXGzovy9kgpWR9Ua8TdTLKn5QwMvZ2LuCz5+VXkRekfcF6Nt6rpVHLOxmbnBvebLjKnbtRJliDRwaLetZ75HON3OJPabqbXxdlPyhp26OLj2AqhPykOfNt7rhc4E9qm10vy7VnfrIR2DJV8ROpuowE8BRTwnhI0J4CACcxJZPY1FPATw1DQngKIjcFQqJM1dqX4R2lZcjl0wnulMJTCkJ4JMV1tDSPMongOBBUxKhl1RTLEMeTwt8FU2fJlB/zb4XI9isueMDgTa5yHcP+1V2WOhfyHP/AMQPegqNAdVi+mK/hn7lsOkL3diwI3Hn7/3+9b8LbKCCo6w71aYVVl6ysxKiKpKzGmzytGoKzJMnIJiU0pAUu5AjBa91FUS5Jz1VnKISmF3KaTrJtKN6e7rJFPCSydZPLDa9jbigYcgqkQu9WZDkoIcg5yIffETw393BOwX7twSxssAN+/s70ON8h4qhjjbTMplrlPtuGqa91shrvUCk7gtrYEbHY8QuRa2fesRgXS8kKLn5ZG4sNmA6dv8A2sepLcdRrG6u61AG8D4pkVPG12IAgntK2fq+f1PUj+Av8seC8n4c3b8mLGqLEEWNjwKQucbHTILXdsB5/OPBRS7EkaCcTTYKX0sk88fk3ZUpax93HN2QGpyCuCkc/N/Rbw1PnKm2dQc1cusXHfwHBWZocYsT0d/b2LvhjfHl58rusKrDbDm22YD1vKKpuAaMR13LX20zoxgCzQf9CyZW4nNG5c85pEbIMWbhe6gZTgvOAWHFXpHWaUyFlm96z48zFNIJoHEWJuN+WapteI8icr7lpvBsc1VfTgNxHM9quX7ahUXPPDgGm4KbtG722sMW4hVnF4vmACp4Ko6FwuNBbVXHLaM6KECMkuGIOs4X3HQpOcAcA4HBoSNbKaqiwh7mgGxId58wVVZGZGFw/Kcxv70s52NxCVIuzuEJUBAoUgTWhPaiHBSNCa0KQBA5qeAkaE8BANCkaEgCc1BI0J9kjUyplwMPE5BBRrpbu7AqLinylRldpNMmvUbhfMZHinON1ET4opQ6/YeCgndvUjs+w7iFWq7kW/MPAoIZRd8R/vI8QpqZmCF19Tdx8+nqCpCQmIuF7teD4BXpMoXnj8P+0GNSZyt/cuibosCgbeZnf7lvvNggrvOanj0VferByCCrUFZ8+quVDs1UlQDSpFA0qZiBkipTHNXZdFRdqpRapxklI6SWFH5lRq7PrYo2faRc47d0i0AcTbVJtTaYmjaxsbWNaSQG77i2fEqheyjJVdfzZePiY89FRxDqjznuT5z0UU+d+y1+4KOKU59gTTwCd1tNNyimkt0W6lUNkfbIZuOpTGMT2R211SkqAC6vkC/+qeOMR9Tmrkwuj5EyYa5o8prh6r+5EekXRdNS3RkpKY9t/FOSIGkJCE5IVBl7a6jO/wByyMW5a+2x0Gfu9yxlyyikfnYJyRCxJzaC11BMCQdwCnabFNcL5cVjLHm36KofRA8G+5UZ6fDd7blt7doC28GVlBNAL3GV1MMNYxNMqCcXLT1XZG6PorY3AgklzgG8CDqFFV07mPzHROltE1tQQ0sOYObTwcFLLtGwUJbIXodyJQhAQPantCa1SNCIc0KRqa0KRoQPaFI0JrQpGhAWShLZDRmglas2umxOPAZD3q7UTYG9pyHxWO4reM90prlC4kG4UpUT10Q11j2HgUyQEJkzbqNtQWmzsxxUUheG57k17gd6dUtaWmxy4FZDJCx1tRuUDatxDiATYm9uJ4rVq8oT5/bb3LMnd0weBBK0q8/ZDuCClspv2w7AT7vetaY52VHZEfWd5gtEt4hURxMzTplNbCFVmcgpTHNQv0UsqidoghCsRlVypoTkgbUaKkNVdqdFSbqoRdi0RvQzRIqhxKQJE8BUV6o5J9Kzo5C5OqiqTdwCnfJgbZosToN/eVATTW6LdTwTI4rZnVPhhtmdSpCqIiEwqRyYUDVscmZcFdAf77eIt71jhWqGXm5WP8l7XeBBUR67dF0wOvmEt0ZPuhNui6ByRCFBnbbH2Q/cPYVgPFxa9lu7fvzAtriC55sXEklYyWG2c3R4PYU5tR5Qt27k8sbwCgdBiOXRHtWLwLJNxklBsq30ctza7xQZi3rjLiFL0LBTXBDHhwuDdKVoQPYHNLTmsOupiw5aahb7xbPgqlcwGM9nsWMolSoQhadggJEoVEjVI1RtUjURI1StUTVK1ESNUoUTVK1A6yGjNKFHUNdhdhFzbPu3oqjVzYnZaDIKq5OKYc9F2ZIUyTRKVHI7JFRKtO4ZjeFKw5lQSDM3IUFaqfdlgVnucdCtGZrXDJwxDf7kU2zTLFLKTZsYJ0viIF7D1eIUWM12Zy3+1bu0Y79G6yqGPFPG3diB8wz9y2arU96sKKNgaAAreShpm5JXuKqEleqUrlNI5VpHZoIJVESnylQkqBrlLTFQPKmptFQlSVVZqrNSq8agtN0SpGoVQ5gTilaMkyQqiBjvtVZiizxHU+pQUgvKewK9ZSBhCjIUxCYWKiByYQpnMPBM5t3A+CgjUjUc27gfBWIqOV1i2OQg6EMcfcg9M2ZNzlPC8b2N8bZq1dZHJpkjKNjJGlrml1g4WNr3HtWsjByVNulCByEiEFDbf3P/ACC5+639ufc/8gueuueSnubpdKm3SrOlKkshKiK8lPbpR5HhuKfDLiGliNQpUxzBfF4oFKgcNx008ymBTJW5KUQoXOfx+byY/B3xR/H5vJj8HfFa8a35R0aULm/4/N5Mfg74o+sE3kx+Dvir403HUNUjVyv1im8mPwd8Uo5STeTH4O+KeNTbrmqRq48cp5/Ii8HfFOHKmfyIvRd8yeNNuzapWriRysqPIi9F3zJw5X1HkQ+i75k8abdu0K5SttnvK89HLGp8iH0X/MpW8uaof+uD0X/Ms5Y32bwyxnbsq7Y+PpxZHe3ce7gsKaJzSQ4EEag6rPb/AOQKsf8Arp/Rf8ygquWtRMLPhpzwOF9x58SuPlO0uUrRcVXkOSxnbelP5Y/B3xUbtryH8rPA/FdGdxpPktdZ0jiSTdQu2g86hvgfiovpLuAUq7i7BE97msa0lzjYAcVubYiMMcVOHZNbZ1sgXHV3jdYmzduyUxJZHEXHK7muJA4CxTa3bcszy97WAm2gNsvOmi5HbMaWztJ3X9i2pGguzyXNMrXNIIAuO9WDtqU/lZ4H4qw3HSNAAyUUp4rB/jcvBngfimnbEp3M8D8VU21JiqhKpO2k87m+B+KYa13Bvr+KhtZlKhJUTqpx3BM549iG0pzViFUhKexPbVOG4etDaWpKji1Ub5i7WyRspHBDa8ErBmqf0l3AJzatw3D1qm192igJVd1Y47gmfSD2Js267kRsxkvPyysDgCGNBFxfU+0LtI6OFvVijHcxq8z2VynnpIubjZERiLrua4m57nDgrv18q/04PRf8y5ZS10mWOnoDmN3NHgFVlA4DwXEO5dVR/wDXB6L/AJlGeWlSfyQ+i/5li4ZOuPq4Tt2D2DgFA9g4LkzyvqPIh9F3zJh5V1B/JF6LvmU8Mmr62DppWDguhoWYYY2/2j15rzQ8pZz+WLwd8VeHLqq/Tg9F/wAy64Y2duHq5zLp6InArzr691f6cHov+ZH18q/04PRf8y24vRrpV5z9fav9OD0X/Mj6+1f6dP6L/mQejpV5x9fqv9On9F/zI+v9X+nT+i/5kHbbdP2H/ILn2NJWHV8tamZmB0cAF75Nf8yqN5Szj8sfg74qaHWtZxFkOiIXKjlVUeRF4O+ZP+t1RbqQ+i75k0jpmsughct9ap7WwRei75kn1on8iLwd8ymldSkK5Y8p5/Ii8HfFMPKOc/lj8HfFTVHUBw0S33FcmdvS+TH4O+Kf9Y5rWwxnzO+KzJl7oyEIQuqhCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIBCEIP/9k=" width="304px" alt="best generative ai"/></p>
<p>Ultimately, we believe in learning with our clients to provide customised solutions that meet the unique needs of you and your business. LLMs basically store a large amount of language knowledge in a model that can be easily  referenced. The real power comes when you connect LLMs to other data sources, or ‘knowledge banks’, such as an ERP or CRM system, or files and folders&nbsp;across your company network.</p>
<h2>Protecting human rights and democracy in the era of AI</h2>
<p>Six months later GPT-4 launched, redefining what the technology was capable of. Partnering with a knowledgeable technology provider with time-tested security guardrails to protect consumer information offers peace of mind in an era where cybercriminals have become savvier. Navigating the intricacies of the new technology of generative AI requires a partner with a sophisticated artificial intelligence framework.</p>
<div style='border: black dotted 1px;padding: 15px;'>
<h3>An inside look at how businesses are—or are not—managing AI risk &#8211; McKinsey</h3>
<p>An inside look at how businesses are—or are not—managing AI risk.</p>
<p>Posted: Thu, 31 Aug 2023 00:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMic2h0dHBzOi8vd3d3Lm1ja2luc2V5LmNvbS9hYm91dC11cy9uZXctYXQtbWNraW5zZXktYmxvZy9hbi1pbnNpZGUtbG9vay1hdC1ob3ctYnVzaW5lc3Nlcy1hcmUtb3Itbm90LW1hbmFnaW5nLWFpLXJpc2vSAQA?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>By simplifying the content creation process and enhancing the effectiveness of published materials, such as website content, videos, newsletters or blogs, AI can save entrepreneurs both time and money. Tom’s company, Metaphysic, gained popularity with the release of a fake Tom Cruise video that received billions of views on TikTok and Instagram. They specialise in creating artificially generated content that looks and feels like reality by using real-world data and training neural nets. This is more accurate than VFX or CGI and helps create content that appears natural.</p>
<h2>How Productive Is Generative AI Really?</h2>
<p>Unfortunately, history has shown that we cannot trust the big tech companies to fix this on their own, says Find Myrstad, Director of Digital Policy at the Norwegian Consumer Council. The impact of generative AI on HR teams seeking to improve employee satisfaction can be positive in the following ways. By automating these time-consuming tasks, people and resourcing professionals can focus on more strategic aspects of their roles, ultimately leading to a more efficient and cost-effective recruitment process. Although human intervention will likely be needed to finalise these documents, a first draft can save significant time for people and resourcing specialists. &#8220;The future legislative framework for AI, and broader tech, will be complex, fast developing and multi-layered. For businesses, adopting a holistic approach that is embedded in their business strategy will be crucial.&#8221; Some sectors, such as the financial services sector, may also have overarching governance and oversight frameworks under which cyber-security and operational resilience considerations may apply to certain uses of generative AI.</p>
<p>Founder of the DevEducation project<br />
<img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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" width="308px" alt="best generative ai"/></p>
<p>But note that Microsoft&#8217;s new Bing AI search, which is free, also runs on GPT-4. The site takes into account every user&#8217;s vote to create a rating using the Elo system, which &#8220;is a widely-used rating system in chess and other competitive games,&#8221; an LMSYS Org blog post says. If you’re looking for an advanced website building solution, CodeWP.ai might be the right option for your business. You can publish a site for free, or you can upgrade to a Basic plan, which will give you access to your own hosted personal site with a custom domain and a Content Management Software (CMS). If you’ve used Figma before, you can carry over a project from Figma to Framer.</p>
<h2>Damian Bogunowicz, Neural Magic: On revolutionising deep learning with CPUs</h2>
<p>One notable requirement is that operators of generative AI must ensure that their services adhere to the core values of socialism, while also&#8230; After initially launching for paid ChatGPT users, &#8220;Custom Instructions&#8221; are now accessible to users on the free plan. Generative AI content cannot be submitted to the Illustrative Editorial <a href="https://blogs.nvidia.com/blog/2023/08/31/generative-ai-startups-africa-middle-east/">genrative ai</a> Collection (IEC) which is for editorial use only. IEC submissions must be accurate portrayals of brands in an authentic, accurate, and unmodified manner as they are found in the real physical world. As a science team, we’ve been studying the rise of Generative Artificial Intelligence (Generative AI) models for some time now.</p>
<p>It is important to be familiar with&nbsp;the limitations of the tools and the potential to slip into poor academic practice. When viewing the output of generative AI it is easy to think&nbsp;it has a level of understanding of the  subject being written about or that it is paraphrasing content copied from the web, but that isn&#8217;t the case. Technology such as ChatGPT and Google Bard work by building a vast dataset of reference text, sourced from openly available online articles, books and webpages.</p>
<h2>OPINION: Generative AI – the good, the bad and the risky</h2>
<p>We’re ready to help you learn, explore, build and create with generative AI – ensuring responsible and reliable safeguards to protect your people and your business. &#8220;We started this because we created our own AI model based off Meta&#8217;s LLaMA model in April, [which we] called Vicuna, and we wanted <a href="https://blogs.nvidia.com/blog/2023/08/31/generative-ai-startups-africa-middle-east/">genrative ai</a> to train different versions and iterate on it,&#8221; says Hao Zhang, one of the professors at UCSD co-leading the effort. &#8220;It mostly measures human preference, and its ability to follow instructions and do the task the human wants, which is a very important factor in making a model useful.&#8221;</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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" width="303px" alt="best generative ai"/></p>
]]></content:encoded>
			<wfw:commentRss>http://www.cerasimply.com/avoid-ai-pitfalls-building-the-right-ai-tech-stack/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>5 Best AI Website Builders for UK Small Businesses 2023</title>
		<link>http://www.cerasimply.com/5-best-ai-website-builders-for-uk-small-businesses/</link>
		<comments>http://www.cerasimply.com/5-best-ai-website-builders-for-uk-small-businesses/#comments</comments>
		<pubDate>Wed, 16 Nov 2022 09:12:33 +0000</pubDate>
		<dc:creator><![CDATA[asawin]]></dc:creator>
				<category><![CDATA[NLP algorithms]]></category>

		<guid isPermaLink="false">http://www.cerasimply.com/?p=4259</guid>
		<description><![CDATA[How to Create an Open Discussion Around Using Generative AI at Work Zhang has reached out to Google but says, &#8220;They are very secretive&#8221; and would [&#8230;]]]></description>
				<content:encoded><![CDATA[<h1>How to Create an Open Discussion Around Using Generative AI at Work</h1>
<p>Zhang has reached out to Google but says, &#8220;They are very secretive&#8221; and would not confirm. Separately, Zhang&#8217;s team has compared the version in the Chatbot Arena with Google Bard, which confirmed it is &#8220;at least very close to the one people can access in Bard,&#8221; if not identical. The group has steadily add more models to the arena, and  since April, around 40,000 people have participated, Zhang says. Most AI website builders will only allow you to translate prompts into a whole website prototype, rather than use AI to tweak specific bits and pieces of the site. Overall, it’s a great AI solution for beginners who want to save time and money when creating a website.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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" width="309px" alt="best generative ai"/></p>
<p>They also point to the fact that, exciting as it is, generative AI can’t do it all (at the moment!) so bona fide human professionals are still very much needed to ensure that enterprises stay on the right side of it. Plus, with innovations such as miniaturisation on the horizon, we are going to need bona fide human input to help us take the best advantage of generative AI far into the future. Over the last months there has been an explosion of services driven by generative artificial intelligence.</p>
<h2>AI tools used to generate deepfakes</h2>
<p>One of the many ways that AI will transform society is in the workplace, with artificial intelligence shaping many new work practices and revolutionising old ones. Find out how a human-centered approach to AI can deliver results for your business. OpenAI recommends GPT-3.5 for most daily tasks, since it runs faster than GPT-4 and is still very powerful.</p>
<div style='border: grey dotted 1px;padding: 12px;'>
<h3>Hackensack Meridian Health Deploys Google Cloud&#8217;s Generative AI &#8230; &#8211; Hackensack Meridian Health</h3>
<p>Hackensack Meridian Health Deploys Google Cloud&#8217;s Generative AI &#8230;.</p>
<p>Posted: Wed, 30 Aug 2023 14:46:34 GMT [<a href='https://news.google.com/rss/articles/CBMiaWh0dHBzOi8vd3d3LmhhY2tlbnNhY2ttZXJpZGlhbmhlYWx0aC5vcmcvZW4vTmV3cy8yMDIzLzA4LzMwL0hNSC1EZXBsb3lzLUdvb2dsZS1DbG91ZHMtR2VuZXJhdGl2ZS1BSS1Ub29sc9IBAA?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>Undeniably attractive, AI is now also increasingly accessible, largely thanks to innovative platforms that can automate key data preparation and analytic processes. But while AI has become truly viable, it’s when you put accessible AI into the hands of employees and empower non-technical users to build and automate processes without needing to write code that it becomes truly valuable to the business. For example, eBay used Alteryx Analytics Cloud to train 50 non-technical employees to use AI and build machine learning models.</p>
<h2>Coming soon: AI tools in Microsoft apps</h2>
<p>It&#8217;s worth putting some guardrails in place right at the start of your journey with these tools, or indeed deciding not to deal with them at all, based on how your data is collected and processed. Here&#8217;s what you need to look out for and the ways in which you can get some control back. Social media is a necessary part of owning a small business, but managing multiple platforms and attempting to brainstorm creative new content can be draining. By streamlining the content creation process and reducing the time and effort required, AI can free you to focus on other critical aspects of your business, ultimately helping to drive growth and success in the competitive marketplace. Additionally, AI can automate the process of content scheduling and distribution across various channels, allowing you to reach your customers with consistent and timely communication. AI can generate a large number of potential business names in a short amount of time, giving you a list of unique and creative names that you might not come up with otherwise.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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" width="300px" alt="best generative ai"/></p>
<p>We have developed the below principles and practices to help us use generative AI in a responsible and secure manner. Their platform leverages AI algorithms to analyze vast data, enabling businesses to outperform the competition with actionable AI-driven insights. Noogata’s technology empowers ecommerce companies to optimize product recommendations, pricing strategies, and marketing campaigns based on individual preferences and behavior patterns. With Noogata, businesses can enhance customer engagement, increase conversions, and drive revenue growth. Ancoris, as your friendly neighbourhood (and multiversal!) Google Cloud Partner, is here to help you take full advantage of Google Cloud’s generative AI offerings. We work day in and day out with AI so we are well-positioned to help you navigate the twists and turns of generative AI and the wider AI landscape plus we can keep you clued up on best responsible AI practice.</p>
<h2>Go time for the new Welsh regulator</h2>
<p>A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.</p>
<p></p>
<p>There’s a reason academics and university support staff are losing sleep over generative AI tools, and that reason is plagiarism. If you find the above situation an aberration of academic integrity, you’re going to need to start thinking a whole lot more progressively – because that’s likely just scraping the surface of what the technology can do. For me, while maybe a little better than an outright ban, this approach still seems to wildly underestimate the impact these tools are about to have on our lives.</p>
<p>Right now, if you fed an AI-generated ad into a predictive tool, it would fail due to AI hallucinations and wonky design outputs. That’s why it’s important to develop a Generative AI tech stack that involves not only the tech, but the people, agencies, and IT departments to make Generative AI a working tool for your brand. Your tech stack needs to expand to use generative and analytics artificial intelligence together to create the best possible content. By combining analytical tools with Generative AI tools, your teams will be able to get the best of both AI disciplines, analysis and production. Whether you’re genuinely interested in how AI can be incorporated into your creative process, or you’re not convinced but curious about its potential, we’ve saved you some time by compiling a list of some of the best AI tools for content creators to try. These models are trained on huge datasets consisting of hundreds of billions of words of text, based on which the model learns to effectively predict natural responses to the prompts you enter.</p>
<h2>On-Demand Webinar – AI: The Good, The Bad, &#038; the Hallucinatory – How AI can help and hurt secure development</h2>
<p>All you have to do is provide a prompt and you’ll be able to generate efficient WP_Queries, functions of all types, hook into WooCommerce filters and actions, and more. Based on our first-hand user testing, our favourite AI website builder was Wix ADI. With an easy and intuitive setup, you don’t need to know much about AI to get a website prototype in minutes. All you need to do is provide a couple of details about your company, select the features you want to include, and pick  a theme. The best part is that you can easily switch to the standard Wix editor directly from ADI, allowing you to tweak the prototype created by ADI However, you can’t switch from the normal Wix editor to Wix ADI – it’s just a one way street.</p>
<ul>
<li>But whilst generative models are exciting, they also pose safety, security and ethical challenges, especially in regulated industries.</li>
<li>Overall, it’s a great AI solution for beginners who want to save time and money when creating a website.</li>
<li>To help us mitigate these we have put together the following principles and practices.</li>
<li>Accelerate In-depth face time with the world’s leading tech companies pushing the boundaries to solve your challenges.</li>
</ul>
<p>At a high level, these models are called Foundation Models, but there are further variations for specific types of content. If they are trained on text, for instance, then they are called Large Language Models. It’s time to get smart about the latest in artificial intelligence as it continues to evolve at a record pace. Here are the top four ways AI can be harnessed for improved customer experience interactions (CXi).</p>
<h2>Why might people &#8211; and businesses &#8211; be worried about AI?</h2>
<p>The company says the data amassed through GPTBot could potentially enhance model accuracy and expand its capabilities, marking a significant step in the evolution of&#8230; OpenAI has introduced a web crawling tool named &#8220;GPTBot,&#8221; aimed at bolstering the capabilities of future GPT models. A study conducted <a href="https://blogs.nvidia.com/blog/2023/08/31/generative-ai-startups-africa-middle-east/">genrative ai</a> in collaboration between Prolific, Potato, and the University of Michigan has shed light on the significant influence of annotator demographics on the development and training of AI models. The internet, mobile devices, social media, and communication platforms have ushered in an era where access&#8230;</p>
<div style='border: black solid 1px;padding: 14px;'>
<h3>A new role emerges for software leaders: Overseeing generative AI &#8211; ZDNet</h3>
<p>A new role emerges for software leaders: Overseeing generative AI.</p>
<p>Posted: Wed, 30 Aug 2023 18:38:42 GMT [<a href='https://news.google.com/rss/articles/CBMiXWh0dHBzOi8vd3d3LnpkbmV0LmNvbS9hcnRpY2xlL25ldy1yb2xlLWVtZXJnZXMtZm9yLXNvZnR3YXJlLWxlYWRlcnMtb3ZlcnNlZWluZy1nZW5lcmF0aXZlLWFpL9IBaGh0dHBzOi8vd3d3LnpkbmV0LmNvbS9nb29nbGUtYW1wL2FydGljbGUvbmV3LXJvbGUtZW1lcmdlcy1mb3Itc29mdHdhcmUtbGVhZGVycy1vdmVyc2VlaW5nLWdlbmVyYXRpdmUtYWkv?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>A final and significant benefit of generative AI tools is the potential to reduce medical costs for patients and healthcare providers significantly. As data from Accenture estimates, AI applications in healthcare could save up to $150 billion annually for the US healthcare economy <a href="https://blogs.nvidia.com/blog/2023/08/31/generative-ai-startups-africa-middle-east/">genrative ai</a> by 20267. For example, generative AI can be employed in customer service chatbots to provide personalized responses, enhancing the user experience and increasing  customer satisfaction. In marketing, generative AI can optimize product listings, keywords, and advertising copy.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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" width="305px" alt="best generative ai"/></p>
<p>It’s important to note that while generative AI can provide valuable insights and automation, it should be used in conjunction with human judgment and expertise. Additionally, clear communication and transparency with employees are crucial to ensure that the workforce understands, accepts, and trusts AI-based performance management systems. Generative AI algorithms can assist in evaluating employee performance by analysing various data sources such as productivity metrics, project outcomes, and customer feedback. These algorithms can generate objective and data-driven insights, helping managers provide more accurate and comprehensive feedback to employees. Processes that exist in other contexts regarding procurement, development, implementation, testing and ongoing monitoring of IT systems should be reviewed, adapted and applied as necessary across the roll-out and use lifecycle of a generative AI system.</p>
]]></content:encoded>
			<wfw:commentRss>http://www.cerasimply.com/5-best-ai-website-builders-for-uk-small-businesses/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
	</channel>
</rss>
