Cost-effective document classification using the Amazon Titan Multimodal Embeddings Model

Favorite Organizations across industries want to categorize and extract insights from high volumes of documents of different formats. Manually processing these documents to classify and extract information remains expensive, error prone, and difficult to scale. Advances in generative artificial intelligence (AI) have given rise to intelligent document processing (IDP) solutions

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Shared by AWS Machine Learning April 12, 2024

Knowledge Bases for Amazon Bedrock now supports custom prompts for the RetrieveAndGenerate API and configuration of the maximum number of retrieved results

Favorite With Knowledge Bases for Amazon Bedrock, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for Retrieval Augmented Generation (RAG). Access to additional data helps the model generate more relevant, context-specific, and accurate responses without retraining the FMs. In this post, we discuss two

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Shared by AWS Machine Learning April 10, 2024

Compelling responses to NTIA’s AI Open Model Weights RFC

Favorite The National Telecommunications and Information Administration (NTIA) posted a request for comments on Dual Use Foundation Artificial Intelligence Models with Widely Available Model Weights, and it has received 362 comments. In addition to the Open Source Initiative’s (OSI) joint letter drafted by Mozilla and the Center for Democracy and

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Shared by voicesofopensource April 9, 2024