Amazon Bedrock now supports compressed embeddings from Cohere Embed. ☁️ https://go.aws/4eBniXm Cohere Embed is a leading text embedding model most frequently used to power RAG & semantic search systems. Compressed embeddings (int8 and binary) enable developers and businesses to build more efficient #generativeAI applications without compromising on performance. #AWS
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New! #AmazonQ Developer supports AI-powered inline completions in the command line. 🚀 https://go.aws/4cOBta5 Now, developers can type in their command line & Q Developer will provide real-time, AI-generated code suggestions. #AWS #generativeAI
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Accelerate LLM training with #Meta Llama 3 and #AWSTrainium. 🦙⚡ https://go.aws/3RTFged In this post, you'll learn best practices for training LLMs on AWS Trainium, scaling the training on a cluster with over 100 nodes, improving efficiency of recovery from system and hardware failures, improving training stability, & achieving convergence. #AWS
End-to-end LLM training on instance clusters with over 100 nodes using AWS Trainium | Amazon Web Services
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Get the most out of #AmazonQ with these troubleshooting tips. 💡 https://go.aws/4cETuY2 Amazon Q is AWS’s #generativeAI-powered assistant that can help you write code, answer questions, generate content, solve problems, manage AWS resources, & more. In this blog post, we'll highlight five problems Amazon Q can help you troublshoot including EC2 SSH connection issues, VPC Network troubleshooting, & IAM Permission troubleshooting. #AWS
Five troubleshooting examples with Amazon Q | Amazon Web Services
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Get hands-on experience scaling foundation model training using #AmazonSageMaker HyperPod & #AWSTrainium. 🤖 https://go.aws/45Juf4O At this workshop, you'll gain insights into setting up the software stack, optimizing resources, ensuring fault tolerance, & leveraging high-performance Trainium instances as #AWS solutions architects guide you through the labs.
AWS Immersion Day: Scale FM training with Amazon SageMaker Hyperpod and AWS Trainium
aws-immersion-day-build-fms-with-hyperpod.splashthat.com
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AI21 Labs' Jamba-Instruct foundation model is now available in #AmazonBedrock. 🚀 https://go.aws/3VDMiok Jamba-Instruct's strong reasoning & analysis capabilities allow it to break down complex problems, gather relevant information, & provide structured outputs. With its massive 256K context window (the equivalent of an 800-page novel), it can handle large document analysis & summarization with ease. #AWS #generativeAI
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Announcing our collaboration with EvolutionaryScale to revolutionize generative biology. 🧬👩⚕️ https://go.aws/45H6jih EvolutionaryScale’s ESM3, a frontier, state-of-the-art language model family, is now available on #AmazonSageMaker & #AWSHealthOmics. This collaboration addresses the growing demand from life sciences & biotech professionals to seamlessly access & scale the most advanced models for use cases, with built-in security, customization, responsible AI practices, & high-performance, cost-effective infrastructure. #AWS
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Easily configure & control access to your #foundationmodels with #AmazonSageMaker JumpStart. 🔐 https://go.aws/4cC7RfJ Enterprise admins can set up private hubs with different sets of models & tailor based on different roles or accounts within their organizations. #AWS #generativeAI
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Grow your small business with #generativeAI. 📈 ☁️ https://go.aws/3RAMxzg AWS AI scientist, Nashlie Sephus, Ph.D., shows small-business owners & entrepreneurs how #PartyRockPlayground can help them create pitch decks, draft marketing emails, write blog posts, & more. PartyRock is a generative AI app-building tool, powered by #AmazonBedrock, which lets anyone create apps in seconds. #AWS
AI-ML Specialist
3dGreat feature ! For those who want numbers backing the actual compression performance, I've conducted some experiments below :-) https://mnemlaghi.github.io/cloud-embeddings/quantization