{"id":5103,"date":"2023-06-01T10:25:58","date_gmt":"2023-06-01T15:25:58","guid":{"rendered":"https:\/\/www.cybersecurityinstitute.com\/blog\/?p=5103"},"modified":"2023-07-10T10:26:35","modified_gmt":"2023-07-10T15:26:35","slug":"it-security-ai-news-may","status":"publish","type":"post","link":"https:\/\/www.cybersecurityinstitute.com\/blog\/index.php\/2023\/06\/01\/it-security-ai-news-may\/","title":{"rendered":"IT Security AI News &#8211; May"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\"><a>Table of Contents<\/a><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Latest Version of Zilliz Cloud Aims to Cure AI \u2018Hallucinations\u2019<\/li>\n\n\n\n<li>What\u2019s Up With Open Source LLMs?<\/li>\n\n\n\n<li>NVIDIA to Bring AI to Every Industry, CEO Says | NVIDIA Blog<\/li>\n\n\n\n<li>GoDaddy Launches Generative AI Prompt Library for Small Businesses<\/li>\n<\/ul>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" height=\"16\" width=\"16\" src=\"https:\/\/insidebigdata.com\/wp-content\/themes\/ibd-2023\/images\/apple-touch-icon-144x144.png\">&nbsp;<strong>Latest Version of Zilliz Cloud Aims to Cure AI \u2018Hallucinations\u2019<\/strong><br><em>Inside Big Data<\/em><br>Other databases boast about crunching millions of vectors per second.<br>Zilliz Cloud is the first to process a billion.<br>That could be the key to making large language models (LLMs) like ChatGPT tell the truth.<br><br>Zilliz Cloud is the managed service from Zilliz, the inventors of Milvus, the open source vector database used by more than 1,000 enterprises around the world.<br>It\u2019s purpose-built for AI and other applications powered by unstructured data.<br>It represents data as high-dimensional vectors, or embeddings \u2014 the kind generated by machine-learning models \u2014 making it a perfect fit for uses including:<br>E-commerce: Powering product recommendation engines with multiple sources of unstructured data, such as search history and past purchases<br>Semantic text search: Processing and querying text across multiple vectors such as intent, location and previous search history<br>Targeted advertising: Improving the relevance and effectiveness of ad delivery<br>UGC recommendation: Identifying related content even if other users haven\u2019t liked or engaged with it<br>Risk-control and anti-fraud: Spotting vulnerabilities, anomalous behavior and illicit activities<br>New drug discovery: Discovering new drugs by identifying similar chemical compounds.<br>Using OpenAI plug-ins to connect to ChatGPT, it provides the basis for the emerging CVP (ChatGPT\/Vector DB\/Prompts-as-Code) technology stack.<br>It performs up to 40X faster than competing solutions.<br>It scales to billions of vectors.<br>It\u2019s available on multiple clouds.<br>It offers automatic ANNS indexing.<br>And it\u2019s backed by a world-class operations team that ensures it\u2019s always up to date and secure, with a 99.99% uptime SLA and a zero-data-corruption guarantee.<br><strong>Link:<\/strong>&nbsp;<a href=\"https:\/\/insidebigdata.com\/2023\/04\/12\/latest-version-of-zilliz-cloud-aims-to-cure-ai-hallucinations\/\">https:\/\/insidebigdata.com\/2023\/04\/12\/latest-version-of-zilliz-cloud-aims-to-cure-ai-hallucinations\/<\/a><\/p>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" height=\"16\" width=\"16\" src=\"https:\/\/www.scalevp.com\/themes\/custom\/svp\/images\/favicon\/apple-touch-icon.png\">&nbsp;<strong>What\u2019s Up With Open Source LLMs?<\/strong><br><em>Maggie Basta<\/em><br><em>Scale Blog<\/em><br>The fact that GPT4 now performs better than 90% of humans on the LSAT feels both amazing and disturbing.<br>But we have also started to see open-source projects nipping at OpenAI\u2019s heels in what some have called LLM\u2019s \u201cStable Diffusion Moment.\u201d<br>There are obvious benefits to using an open source model.<br>Privacy and security, affordability, customization, and avoiding lock-in are major considerations for enterprises and areas where open source stands to win.<br>Contingent on their ability to compete reasonably on quality, these factors make open source models hard to ignore.<br>As thoughtful venture capitalists who highly value our personal interactions with companies (and since I value my employment as an associate), we would never dream of automating our own outreach emails to founders (I promise I\u2019m not kidding, I wake up at dawn every day to email the companies nearest and dearest to my heart, please reply to me).<br>Instead, we\u2019ve decided to build an email generator for founders that replies to outreach from VCs and politely tells us to piss off.<br>Afterall, what am I but a humble servant to our portfolio and prospective companies.<br><br>There were more open source projects and hosting platforms than we could possibly have tried ourselves.<br>However, this project made the opportunities for disruption at both the compute and modeling layer abundantly clear.<br>Below is a list of exciting projects and companies we are watching:<br><br>If you really feel so inclined, you can find the code for the simple GPT4 version of the extension here.<br>This version assumes you have GPT4 access but can easily be changed to use 3.5 if needed.<br>It also hard codes a small set of examples in the prompt in place of the sample dataset since I didn\u2019t feel like publicly exposing examples of every time I get rejected.<br><br>While I sincerely hope no one will actually be using it to reply to me, building this tool provided an extremely valuable glimpse into the current state of open-source LLMs and the requirements for running one.<br>Yes, GPT is fantastic, but less than two months after the llama weights were leaked, we are already seeing open source models produce output that would have had us jumping out of our seats a year ago.<br>No, our mini project is not revolutionary, exhaustive, or scientifically justified, but if one hobbyist developer can get functional output from these models in a mini POC within a week, it\u2019s hard to believe that we won\u2019t see these models integrated into real business products in the next 12 months.<br>The opportunities for development in this space are immense.<br><strong>Link:<\/strong>&nbsp;<a href=\"https:\/\/www.scalevp.com\/blog\/whats-up-with-open-source-llms\">https:\/\/www.scalevp.com\/blog\/whats-up-with-open-source-llms<\/a><\/p>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" height=\"16\" width=\"16\" src=\"https:\/\/www.scalevp.com\/themes\/custom\/svp\/images\/favicon\/apple-touch-icon.png\">&nbsp;<strong>NVIDIA to Bring AI to Every Industry, CEO Says | NVIDIA Blog<\/strong><br><em>Sierra Mitchell<\/em><br><em>News AKMI<\/em><br>In a sweeping 78-minute presentation anchoring the four-day event, Huang outlined how NVIDIA and its partners are offering everything from training to deployment for cutting-edge AI services.<br>He announced new semiconductors and software libraries to enable fresh breakthroughs.<br>And Huang revealed a complete set of systems and services for startups and enterprises racing to put these innovations to work on a global scale.<br><br>Huang punctuated his talk with vivid examples of this ecosystem at work.<br>He announced NVIDIA and Microsoft will connect hundreds of millions of Microsoft 365 and Azure users to a platform for building and operating hyperrealistic virtual worlds.<br>He offered a peek at how Amazon is using sophisticated simulation capabilities to train new autonomous warehouse robots.<br>He touched on the rise of a new generation of wildly popular generative AI services such as ChatGPT.<br><br>And underscoring the foundational nature of NVIDIA\u2019s innovations, Huang detailed how, together with ASML, TSMC and Synopsis, NVIDIA computational lithography breakthroughs will help make a new generation of efficient, powerful 2-nm semiconductors possible.<br><br>The arrival of accelerated computing and AI come just in time, with Moore\u2019s Law slowing and industries tackling powerful dynamics \u2014sustainability, generative AI, and digitalization, Huang said. \u201cIndustrial companies are racing to digitalize and reinvent into software-driven tech companies \u2014 to be the disruptor and not the disrupted,\u201d Huang said.<br><br>Acceleration lets companies meet these challenges. \u201cAcceleration is the best way to reclaim power and achieve sustainability and Net Zero,\u201d Huang said.<br><br>GTC, now in its 14th year, has become one of the world\u2019s most important AI gatherings.<br>This week\u2019s conference features 650 talks from leaders such as Demis Hassabis of DeepMind, Valeri Taylor of Argonne Labs, Scott Belsky of Adobe, Paul Debevec of Netflix, Thomas Schulthess of ETH Zurich and a special fireside chat between Huang and Ilya Sutskever, co-founder of OpenAI, the creator of ChatGPT.<br><br>More than 250,000 registered attendees will dig into sessions on everything from restoring the lost Roman mosaics of 2,000 years ago to building the factories of the future, from exploring the universe with a new generation of massive telescopes to rearranging molecules to accelerate drug discovery, to more than 70 talks on generative AI.<br><strong>Link:<\/strong>&nbsp;<a href=\"https:\/\/newsakmi.com\/news\/tech-news\/nvidia-to-bring-ai-to-every-industry-ceo-says-nvidia-blog\/\">https:\/\/newsakmi.com\/news\/tech-news\/nvidia-to-bring-ai-to-every-industry-ceo-says-nvidia-blog\/<\/a><\/p>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" height=\"16\" width=\"16\" src=\"https:\/\/mma.prnewswire.com\/media\/819539\/GoDaddy_Logo.jpg?p=facebook\">&nbsp;<strong>GoDaddy Launches Generative AI Prompt Library for Small Businesses<\/strong><br><em>Cision PR Newswire<\/em><br>TEMPE, Ariz., April 7, 2023 \/PRNewswire\/ &#8212; GoDaddy Inc. (NYSE: GDDY), the company that helps entrepreneurs thrive, just released a Small Business Generative AI Prompt Library (smallbusinessprompts.com), a catalog of more than 35 prompts, and growing, ready-made for small businesses to start benefiting from this innovative technology.<br>Each prompt, which is a description of the request you want generative AI to accomplish for you, is specifically designed to help small businesses get helpful results out of tools like OpenAI&#8217;s ChatGPT and Google&#8217;s Bard.<br><strong>Link:<\/strong>&nbsp;<a href=\"https:\/\/www.prnewswire.com\/news-releases\/godaddy-launches-generative-ai-prompt-library-for-small-businesses-301792581.html\">https:\/\/www.prnewswire.com\/news-releases\/godaddy-launches-generative-ai-prompt-library-for-small-businesses-301792581.html<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Table of Contents &nbsp;Latest Version of Zilliz Cloud Aims to Cure AI \u2018Hallucinations\u2019Inside Big DataOther databases boast about crunching millions of vectors per second.Zilliz Cloud is the first to process a billion.That could be the key to making large language models (LLMs) like ChatGPT tell the truth. Zilliz Cloud is&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[45],"tags":[],"class_list":["post-5103","post","type-post","status-publish","format-standard","hentry","category-ai-ml"],"_links":{"self":[{"href":"https:\/\/www.cybersecurityinstitute.com\/blog\/index.php\/wp-json\/wp\/v2\/posts\/5103","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.cybersecurityinstitute.com\/blog\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.cybersecurityinstitute.com\/blog\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.cybersecurityinstitute.com\/blog\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.cybersecurityinstitute.com\/blog\/index.php\/wp-json\/wp\/v2\/comments?post=5103"}],"version-history":[{"count":1,"href":"https:\/\/www.cybersecurityinstitute.com\/blog\/index.php\/wp-json\/wp\/v2\/posts\/5103\/revisions"}],"predecessor-version":[{"id":5104,"href":"https:\/\/www.cybersecurityinstitute.com\/blog\/index.php\/wp-json\/wp\/v2\/posts\/5103\/revisions\/5104"}],"wp:attachment":[{"href":"https:\/\/www.cybersecurityinstitute.com\/blog\/index.php\/wp-json\/wp\/v2\/media?parent=5103"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.cybersecurityinstitute.com\/blog\/index.php\/wp-json\/wp\/v2\/categories?post=5103"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.cybersecurityinstitute.com\/blog\/index.php\/wp-json\/wp\/v2\/tags?post=5103"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}