Day 2 of AWS re:Invent 2024 brought exciting announcements, from advancements in generative AI with Trainium3 chips to innovations like Amazon Aurora DSQL, the next-gen SageMaker platform, and enhanced AI safeguards in Amazon Bedrock. The future of AI, data, and software development is being redefined! Read more: https://bit.ly/3ZCksfv #AWSreInvent #AmazonBedrock #AI #AWSCloud #CloudComputing
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🚀 Introducing Amazon’s Nova AI Models! 🌐 From Micro’s ultra-fast text processing to Pro’s multimodal capabilities, AWS is redefining AI innovation. 👉 Highlights: ✅ Context windows up to 2M+ tokens ✅ Advanced text, image, and video capabilities ✅ New speech-to-speech & any-to-any models on the horizon 🔎 Read more: https://buff.ly/4ibSMFo 🔗 Transform your business with Xorbix: https://lnkd.in/gPMuXVf7 #Amazon #AWS #AWSNova #GenerativeAI #NovaAI #ArtificialIntelligence #MachineLearning #AIModels #CloudComputing #DigitalTransformation #Canvas #Reel #TechNews #Xorbix
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🚀 Introducing Project Rainier: Amazon's AI Mega-Computer 🌟 Amazon Web Services (AWS) is taking a bold leap into the future of AI with its partnership with Anthropic to develop Project Rainier, a revolutionary AI supercomputer dubbed the Ultracluster. 🌐 What makes it extraordinary? 🔸 Powered by Trainium2: Utilizes hundreds of thousands of Amazon's proprietary Trainium2 chips for unparalleled AI performance. 🔸 AI at Scale: Designed to handle the most demanding machine learning workloads with unprecedented speed and efficiency. 🔸 Market Disruption: Positions AWS as a key competitor in the AI chip industry, challenging established players. This initiative underscores AWS's commitment to reshaping the AI landscape, driving innovation, and empowering organizations to harness the full potential of artificial intelligence. Reference Link: https://lnkd.in/gEsXqFJR #AWS #AI #ProjectRainier #Ultracluster #CloudInnovation
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While prompt engineering is a key component of AI driven solutions, an LLMOps strategy is essential for adapting to changes and optimizing outputs. Join Amazon Web Services (AWS)'s Victor Rojo, BrainBox AI's Jean-Simon Venne, and Caylent's Randall Hunt at the Generative AI Solution Spotlight Series to learn how an LLMOps can support: 📈 Continuous Monitoring: Regularly evaluate AI performance to maintain alignment with evolving business objectives. ᯓ★ Rapid Adaptation: Swiftly implement updates to respond to new technology and market dynamics. 🌟 Optimized Results: Maximize the value and efficiency of your AI models, ensuring they deliver consistent, high-quality outcomes. Register here: https://hubs.li/Q02TK-rT0
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Accelerating innovation with Gen AI at the AWS Workshop🚀 Curve isn't just observing the Gen AI revolution; we're actively shaping it. Recently, our team was immersed in the cutting-edge world of AI at the AWS Gen AI workshop, hosted at Amazon HQ. Here's a glimpse: 👉 We refined skills with Amazon SageMaker for crafting, tuning, and deploying models. 👉 Leveraged Amazon Bedrock for seamless scaling, capitalising on our Gen AI experience. 👉 Explored Amazon Kendra's integration potential, tapping into our LLM knowledge. 👉 Discovered innovative prompt engineering techniques using LangChain. Dedication to Gen AI excellence resonates deeply within Curve as we are always on the lookout for the latest innovations and to extend our diverse array of Gen AI use cases. We are excited to deploy these technologies alongside our existing Gen AI capabilities to drive innovation within our projects. How do you envision the transformative potential of Gen AI? #AWS #GenAI #Innovation #AIWorkshop
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Amazon SageMaker's new inference capability doubles throughput and cuts costs by up to 50% for generative AI models like Llama 3, Mistral, and Mixtral. For example, the Llama 3-70B model now achieves up to 2400 tokens/sec on a ml.p5.48xlarge instance! This enhancement supports advanced optimization techniques like speculative decoding, quantization, and compilation, with SageMaker handling hardware, frameworks, and libraries. Source- https://lnkd.in/gD7-rq6g Elevate your AI projects with these powerful upgrades! Reach us at https://lnkd.in/gvipsGr for any queries. #AI #MachineLearning #GenerativeAI #AmazonSageMaker #TechInnovation #AIperformance #AWS
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Had an enriching experience at Amazon Web Services (AWS) re:Invent 2024 on learning from LG Electronics on how they’ve leveraged generative AI to enhance productivity. 🤖 Key insights: 🔹 Text-to-SQL solution built in Amazon Redshift allows business users to analyze data independently 🔹 The Product 360 platform enables efficient multi-type document data extraction, boosting business insights and reducing decision-making time 🔹 How Amazon Bedrock is enhancing LG's product line competitiveness and driving individual productivity A perfect example of how generative AI is streamlining operations and empowering employees to make faster, smarter decisions. zeb #AWSreInvent #GenerativeAI #ProductivityBoost #BusinessInnovation #AmazonBedrock #AIApplications #zeb #AWS
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Amazon solving the major inhibitors for #GenAI 🤖 Key moments with #theCUBE at #reInvent, where we spoke with Andy Jassy about how Amazon Web Services (AWS)’ large-scale gen AI applications make it easier for enterprises to leverage the technology. “When you're running a cluster of a thousand chips, it's very different than running a cluster of a few hundred thousand chips, like we're going to run for Anthropic and their future models of training on us. One of the biggest inhibitors for generative AI applications to be as broad as they're going to be, some of it is skill set and experience, but a good piece of it is the costs needed keep getting lower,” Jassy shares. “Optimizing inference, which is the cost of the compute, but also some efficiencies. We've done a lot of inventing there. As we are building very large-scale generative AI applications inside Amazon, we're getting good experience. If you take HyperPod and combine that with what we're going to be able to do with training them with UltraServers and UltraClusters, it's just a different level of scale to train your various realms,” he adds. 🔴 Get the full story: https://lnkd.in/g2jDwMqx #EnterpriseAI #AIinfra #CTOinsights #DevOpstrends #CloudComputing John Furrier David Vellante
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👀 Amazon Q 👀 , the latest artificial intelligence assistant developed by #AWS, is causing a stir in the technology sector. Vice President of Technology at AWS, Mai-Lan Tomsen Bukovec, hails Amazon Q as the most advanced AI assistant on the market. 🧑🏫 This cutting-edge generative AI assistant is poised to transform how businesses engage with technology, offering unparalleled capabilities and efficiency. Embrace the future of technology with Amazon Q, and stay at the forefront of innovation. #AmazonQ ☁️
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Unlocking the true power of #generativeAI with customization on #AmazonBedrock. 🔐 ☁️💡 https://go.aws/4fF1niP Vasi Philomin, VP of Generative AI at #AWS, explains how Amazon Bedrock helps you build custom generative AI applications to address your specific business needs. He covers techniques like prompt engineering, retrieval-augmented generation (RAG), fine-tuning, & continued pre-training that enable you to customize models in Amazon Bedrock.
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Primed for AI innovation. Developed with the business leader in mind, this new Our Story page highlights Amazon and AWS innovation with AI and provides guidance on how to approach building with generative AI.
Our Story of AI on AWS
aws.amazon.com
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