{"id":19171,"date":"2024-12-04T12:15:51","date_gmt":"2024-12-04T10:15:51","guid":{"rendered":"https:\/\/forklog.com\/en\/aws-conference-highlights-next-gen-neural-networks-chips-and-partnerships\/"},"modified":"2024-12-04T12:15:51","modified_gmt":"2024-12-04T10:15:51","slug":"aws-conference-highlights-next-gen-neural-networks-chips-and-partnerships","status":"publish","type":"post","link":"https:\/\/forklog.com\/en\/aws-conference-highlights-next-gen-neural-networks-chips-and-partnerships\/","title":{"rendered":"AWS Conference Highlights: Next-Gen Neural Networks, Chips, and Partnerships"},"content":{"rendered":"<div class=\"wp-block-text-wrappers-keypoints article_keypoints\">\n<ul class=\"wp-block-list\">\n<li>Amazon hosted its annual AWS re:Invent conference, showcasing a new generation of neural networks and announcing collaborations with Anthropic and Apple.<\/li>\n<li>Amazon Nova introduced six AI models for handling text, video, and images.<\/li>\n<li>Amazon plans to cluster hundreds of thousands of Trainium2 semiconductors for training large language models and optimizing data centers.<\/li>\n<li>The firm unveiled a tool to combat artificial intelligence hallucinations.<\/li>\n<\/ul>\n<\/div>\n<p>At the annual AWS re:Invent conference, Amazon unveiled the new generation of AI models, Amazon Nova, designed for a broad range of tasks. These neural networks can process text, images, and video.<\/p>\n<blockquote class=\"twitter-tweet\">\n<p lang=\"en\" dir=\"ltr\">? Huge <a href=\"https:\/\/twitter.com\/hashtag\/AI?src=hash&#038;ref_src=twsrc%5Etfw\">#AI<\/a> news from <a href=\"https:\/\/twitter.com\/hashtag\/reInvent?src=hash&#038;ref_src=twsrc%5Etfw\">#reInvent<\/a> this morning. Meet Amazon Nova, our new generation of AI foundation models with state-of-the-art intelligence across a wide range of tasks and industry-leading price performance.<\/p>\n<p>Our four Amazon Nova understanding models deliver exceptional\u2026 <a href=\"https:\/\/t.co\/zwCBOQezQQ\">https:\/\/t.co\/zwCBOQezQQ<\/a><\/p>\n<p>\u2014 Amazon (@amazon) <a href=\"https:\/\/twitter.com\/amazon\/status\/1864121340695072787?ref_src=twsrc%5Etfw\">December 4, 2024<\/a><\/p><\/blockquote>\n<p> <script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u201c[\u2026] Our new Amazon Nova models are designed to address the needs of internal and external teams, providing engaging intelligence and content generation, as well as significant advancements in latency, cost-effectiveness, personalization, information provisioning, and agent capabilities,\u201d commented Rohit Prasad, Senior Vice President of Amazon&#8217;s AI division.<\/p>\n<\/blockquote>\n<p>Amazon Nova features six neural networks:<\/p>\n<ul class=\"wp-block-list\">\n<li>Micro \u2014 a text model offering minimal latency at low cost;<\/li>\n<li>Lite \u2014 an affordable multimodal neural network that quickly processes images, video, and text;<\/li>\n<li>Pro \u2014 a high-performance <span data-descr=\"capable of simultaneously processing and analyzing data from different types or 'modalities', such as text, images, audio, video, and other forms of information\" class=\"old_tooltip\">multimodal<\/span> tool, offering the \u201cbest combination\u201d of accuracy, speed, and cost for a wide range of tasks;<\/li>\n<li>Premier \u2014 the most capable neural network for complex tasks and reasoning;<\/li>\n<li>Canvas \u2014 a powerful model for image generation;<\/li>\n<li>Reel \u2014 creates videos.<\/li>\n<\/ul>\n<p>The latter can generate a short clip from an image.<\/p>\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/lh7-qw.googleusercontent.com\/docsz\/AD_4nXecaaE0Cq_MKnU3xJqWJNFPrnok4aqARVuAPIE96hQjs1XLLXfa_EXHpnzvOPTFd0DCTJnmzwrvy6pAzEDYna7B0sXh2hfVG9SBuC5l7fuEDvEq7VMunaP37vYu18fXa4FrYGXX?key=3SgdtncfX2OmgG5pW9ICSfIg\" alt=\"AWS Conference Highlights: Next-Gen Neural Networks, Chips, and Partnerships\"\/><figcaption class=\"wp-element-caption\">Data: <a href=\"https:\/\/www.aboutamazon.com\/news\/aws\/amazon-nova-artificial-intelligence-bedrock-aws\">Amazon<\/a>.<\/figcaption><\/figure>\n<p>Micro has a context window of 128,000 tokens, while Lite and Pro have 300,000 tokens.<\/p>\n<p>The models are integrated into Amazon Bedrock\u2014a service offering high-performance AI applications from leading companies through a single <span data-descr=\"capable of simultaneously processing and analyzing data from different types or 'modalities', such as text, images, audio, video, and other forms of information\" class=\"old_tooltip\">API<\/span>.<\/p>\n<p>In 2025, the company plans to introduce two additional models: one for speech processing and a universal multimodal tool.<\/p>\n<p>In late November, media reported on Amazon&#8217;s new generative AI and additional $4 billion investments in Anthropic.<\/p>\n<h2 class=\"wp-block-heading\"><strong>Amazon Chips for Anthropic and Apple<\/strong><\/h2>\n<p>Amazon plans to cluster hundreds of thousands of Trainium2 semiconductors to provide Anthropic with the capability to train large language models. This solution will increase the startup&#8217;s computing power fivefold, the company announced at AWS re:Invent.<\/p>\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\">\n<div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"AWS re:Invent 2024 - CEO Keynote with Matt Garman\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/LY7m5LQliAo?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div>\n<\/figure>\n<p>The firm began offering chips on December 3. The new cluster, named Project Rainier, contains over 100,000 microprocessors, noted Gadi Hutt, who works in this area.<\/p>\n<p>Apple also announced the use of Amazon&#8217;s AI chips for its services, such as search, and is evaluating the potential of the new processor for training <a href=\"https:\/\/forklog.com\/en\/news\/apple-unveils-upcoming-ai-features\">Apple Intelligence<\/a> models.<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u201cWe have established strong relationships, and the infrastructure is reliable and capable of serving our customers worldwide,\u201d stated Benoit Dupin, Apple&#8217;s Senior Director of Machine Learning and Artificial Intelligence.<\/p>\n<\/blockquote>\n<p>According to him, the Cupertino-based company has used AWS for over a decade for various services like Siri, Apple Maps, and Apple Music. Amazon chips have led to a 40% increase in efficiency.<\/p>\n<p>Dupin suggested that Apple might use Trainium2 for training Apple Intelligence, expecting a 50% increase in performance.<\/p>\n<h2 class=\"wp-block-heading\"><strong>Data Center Upgrades<\/strong><\/h2>\n<p>In addition to new chips, Amazon <a href=\"https:\/\/www.bloomberg.com\/news\/articles\/2024-12-02\/amazon-debuts-tools-to-make-data-centers-less-power-hungry?srnd=phx-ai\">announced<\/a> a series of solutions to enhance data center efficiency. These include an improved cooling system, the use of diesel fuel for backup generators, and server rack layout optimization.<\/p>\n<p>Liquid cooling is provided for the most powerful chips, as fans alone cannot reduce the temperature sufficiently.<\/p>\n<p>The company plans to spend $75 billion on modernization.<\/p>\n<h2 class=\"wp-block-heading\"><strong>Combating Hallucinations<\/strong><\/h2>\n<p>At the AWS re:Invent conference, the company&#8217;s cloud division announced the launch of a tool to combat artificial intelligence <span data-descr=\"a phenomenon where an AI model produces answers or data that appear convincing but are actually incorrect or based on false information\" class=\"old_tooltip\">hallucinations<\/span>\u2014Automated Reasoning. The service verifies neural network responses by analyzing other information sources.<\/p>\n<p>The tool is similar to a correction feature from Microsoft, <a href=\"https:\/\/techcrunch.com\/2024\/09\/24\/microsoft-claims-its-new-tool-can-correct-ai-hallucinations-but-experts-caution-it-has-shortcomings\/\">introduced<\/a> in September. Google offers a similar tool within its Vertex AI platform.<\/p>\n<p>Automated Reasoning uses \u201clogically precise\u201d and \u201cverifiable reasoning\u201d to reach conclusions.<\/p>\n<p>Back in November, Binance announced the integration of AWS generative AI into its products.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Amazon hosted its annual AWS re:Invent conference, showcasing a new generation of neural networks and announcing collaborations with Anthropic and Apple. Amazon Nova introduced six AI models for handling text, video, and images. Amazon plans to cluster hundreds of thousands of Trainium2 semiconductors for training large language models and optimizing data centers. The firm unveiled [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":19170,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"select":"","news_style_id":"","cryptorium_level":"","_short_excerpt_text":"","creation_source":"","_metatest_mainpost_news_update":false,"footnotes":""},"categories":[3],"tags":[170,438,1150],"class_list":["post-19171","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-and-analysis","tag-amazon","tag-artificial-intelligence","tag-news-plus"],"aioseo_notices":[],"amp_enabled":true,"views":"39","promo_type":"","layout_type":"","short_excerpt":"","is_update":"","_links":{"self":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/19171","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/comments?post=19171"}],"version-history":[{"count":0,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/19171\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/media\/19170"}],"wp:attachment":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/media?parent=19171"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/categories?post=19171"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/tags?post=19171"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}