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David Manset: Voices of the Open Source AI Definition

Favorite The Open Source Initiative (OSI) is running a blog series to introduce some of the people who have been actively involved in the Open Source AI Definition (OSAID) co-design process. The co-design methodology allows for the integration of diverging perspectives into one just, cohesive and feasible standard. Support and

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Shared by voicesofopensource September 17, 2024

Improve RAG performance using Cohere Rerank

Favorite This post is co-written with Pradeep Prabhakaran from Cohere. Retrieval Augmented Generation (RAG) is a powerful technique that can help enterprises develop generative artificial intelligence (AI) apps that integrate real-time data and enable rich, interactive conversations using proprietary data. RAG allows these AI applications to tap into external, reliable

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Shared by AWS Machine Learning September 17, 2024

Open Source AI Definition – Weekly update september 16

Favorite Week 37 summary  Endorse the Open Source AI Definition OSI invites individuals and organizations to endorse the Open Source AI Definition (OSAID). Endorsers will have their name and affiliation listed in the press release for Release Candidate 1 (RC1), which is expected to be finalized by the end of

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Shared by voicesofopensource September 16, 2024

Build ultra-low latency multimodal generative AI applications using sticky session routing in Amazon SageMaker

Favorite Amazon SageMaker is a fully managed machine learning (ML) service. With SageMaker, data scientists and developers can quickly and confidently build, train, and deploy ML models into a production-ready hosted environment. SageMaker provides a broad selection of ML infrastructure and model deployment options to help meet your ML inference

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Shared by AWS Machine Learning September 14, 2024

Streamline workflow orchestration of a system of enterprise APIs using chaining with Amazon Bedrock Agents

Favorite Intricate workflows that require dynamic and complex API orchestration can often be complex to manage. In industries like insurance, where unpredictable scenarios are the norm, traditional automation falls short, leading to inefficiencies and missed opportunities. With the power of intelligent agents, you can simplify these challenges. In this post,

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Shared by AWS Machine Learning September 14, 2024