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
AWS AI
IT Services and IT Consulting
Seattle, Washington 412,197 followers
Build and scale the next wave of AI innovation on AWS
About us
Scale the next wave of innovation in AI by leveraging more than 25 years of pioneering AI experience from Amazon. AWS makes AI accessible to more people – from builders and data scientists to business analysts and students. With the most comprehensive set of AI services, tools, and resources, AWS brings deep expertise to over 100,000 customers to meet the demands of their business and unlock the value of their data. Security, privacy, and responsible AI have never been more critical. Customers can build and scale with AWS on a foundation of privacy, end-to-end security, and AI governance to transform at an unprecedented rate.
- Website
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https://aws.amazon.com/ai/
External link for AWS AI
- Industry
- IT Services and IT Consulting
- Company size
- 10,001+ employees
- Headquarters
- Seattle, Washington
Updates
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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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AWS AI reposted this
The team at INRIX enjoys the model choice and security they get with Amazon Bedrock to build their production-ready GenAI applications. In fact, most customers on Amazon Bedrock use more than one model as their business needs evolve. This flexibility helps their organizations keep pace with the today’s rapidly changing GenAI landscape. Great to catch up with Bryan Mistele and hear how his team is testing different models with speed as they build and deploy GenAI solutions. Our full conversation is here ➡️ https://lnkd.in/gP7AA38R
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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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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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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
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AWS AI reposted this
Now more than ever, data scientists need better tools to manage the experimentation phase of the ML lifecycle. Amazon SageMaker provides MLflow to efficiently manage of ML experiments! Tune in to learn how: twitch.tv/awsonair #MachineLearning #AWS
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