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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

Amazon Bedrock provides a broad range of models from Amazon and third-party providers, including Anthropic, AI21, Meta, Cohere, and Stability AI, and covers a wide range of use cases, including text and image generation, embedding, chat, high-level agents with reasoning and orchestration, and more.

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Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning - AI

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With a knowledge base, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG).

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Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat

AWS Machine Learning - AI

Unlocking accurate and insightful answers from vast amounts of text is an exciting capability enabled by large language models (LLMs). When building LLM applications, it is often necessary to connect and query external data sources to provide relevant context to the model.

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Oracle makes its pitch for the enterprise cloud. Should CIOs listen?

CIO

Sean Spittle, lead software developer and managing partner at InspectNTrack, a provider of scanning devices, says Oracle deserves to be considered alongside AWS, Microsoft Azure, and Google Cloud as a major enterprise cloud platform, “especially for companies already invested in Oracle technology.”

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Simplify data prep for generative AI with Amazon SageMaker Data Wrangler

AWS Machine Learning - AI

Generative artificial intelligence ( generative AI ) models have demonstrated impressive capabilities in generating high-quality text, images, and other content. However, these models require massive amounts of clean, structured training data to reach their full potential.

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How We Integrated ChatGPT into Our Slack: Enhancing Privacy, Flexibility, and Collaboration

Xebia

SlackGPT not only tackles these limitations but also gives our colleagues a unique experience when working with and building modern LLM applications. This will provide our colleagues with enhanced performance as new models are released. One usecase we see is connecting SlackGPT to our internal knowledge base.

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John Snow Labs Wins Global 100 Award for Best Medical Application of LLMs

John Snow Labs

John Snow Labs , the AI for healthcare company, has won the 2024 Global 100 Award for the Best Medical Application of Large Language Models (LLMs). The company’s newly released Medical Chatbot provides a conversational interface to a suite of medical knowledge bases, updated daily.