Mistral-NeMo-Instruct-2407 and Mistral-NeMo-Base-2407 are now available on SageMaker JumpStart

Favorite Today, we are excited to announce that Mistral-NeMo-Base-2407 and Mistral-NeMo-Instruct-2407—twelve billion parameter large language models from Mistral AI that excel at text generation—are available for customers through Amazon SageMaker JumpStart. You can try these models with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms and models that can

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Shared by AWS Machine Learning December 7, 2024

Deploy RAG applications on Amazon SageMaker JumpStart using FAISS

Favorite Generative AI has empowered customers with their own information in unprecedented ways, reshaping interactions across various industries by enabling intuitive and personalized experiences. This transformation is significantly enhanced by Retrieval Augmented Generation (RAG), which is a generative AI pattern where the large language model (LLM) being used references a

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Shared by AWS Machine Learning December 6, 2024

Building Generative AI and ML solutions faster with AI apps from AWS partners using Amazon SageMaker

Favorite Organizations of every size and across every industry are looking to use generative AI to fundamentally transform the business landscape with reimagined customer experiences, increased employee productivity, new levels of creativity, and optimized business processes. A recent study by Telecom Advisory Services, a globally recognized research and consulting firm that

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Shared by AWS Machine Learning December 5, 2024

Introducing Amazon Kendra GenAI Index – Enhanced semantic search and retrieval capabilities

Favorite Amazon Kendra is an intelligent enterprise search service that helps you search across different content repositories with built-in connectors. AWS customers use Amazon Kendra with large language models (LLMs) to quickly create secure, generative AI–powered conversational experiences on top of your enterprise content. As enterprises adopt generative AI, many

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Shared by AWS Machine Learning December 5, 2024

Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

Favorite Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. To address these challenges, we introduce Amazon Bedrock IDE, an integrated environment for developing and customizing generative AI applications. Formerly known as Amazon Bedrock Studio, Amazon

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Shared by AWS Machine Learning December 5, 2024

A guide to Amazon Bedrock Model Distillation (preview)

Favorite When using generative AI, achieving high performance with low latency models that are cost-efficient is often a challenge, because these goals can clash with each other. With the newly launched Amazon Bedrock Model Distillation feature, you can use smaller, faster, and cost-efficient models that deliver use-case specific accuracy that

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Shared by AWS Machine Learning December 5, 2024