Introducing guardrails in Knowledge Bases for Amazon Bedrock

Favorite Knowledge Bases for Amazon Bedrock is a fully managed capability that helps you securely connect foundation models (FMs) in Amazon Bedrock to your company data using Retrieval Augmented Generation (RAG). This feature streamlines the entire RAG workflow, from ingestion to retrieval and prompt augmentation, eliminating the need for custom

Read More
Shared by AWS Machine Learning July 3, 2024

Medical content creation in the age of generative AI

Favorite Generative AI and transformer-based large language models (LLMs) have been in the top headlines recently. These models demonstrate impressive performance in question answering, text summarization, code, and text generation. Today, LLMs are being used in real settings by companies, including the heavily-regulated healthcare and life sciences industry (HCLS). The

Read More
Shared by AWS Machine Learning July 3, 2024

Highlights from AI_dev Paris

Favorite On June 19-20, the Linux Foundation hosted AI_dev: Open Source GenAI & ML Summit Europe 2024. This event brought together developers exploring the complex world of Open Source generative AI and Machine Learning. Central to this event is the conviction that Open Source drives innovation in AI. Please find

Read More
Shared by voicesofopensource July 3, 2024

Create an end-to-end serverless digital assistant for semantic search with Amazon Bedrock

Favorite With the rise of generative artificial intelligence (AI), an increasing number of organizations use digital assistants to have their end-users ask domain-specific questions, using Retrieval Augmented Generation (RAG) over their enterprise data sources. As organizations transition from proofs of concept to production workloads, they establish objectives to run and

Read More
Shared by AWS Machine Learning July 2, 2024

Accenture creates a custom memory-persistent conversational user experience using Amazon Q Business

Favorite Traditionally, finding relevant information from documents has been a time-consuming and often frustrating process. Manually sifting through pages upon pages of text, searching for specific details, and synthesizing the information into coherent summaries can be a daunting task. This inefficiency not only hinders productivity but also increases the risk

Read More
Shared by AWS Machine Learning July 2, 2024

Access control for vector stores using metadata filtering with Knowledge Bases for Amazon Bedrock

Favorite In November 2023, we announced Knowledge Bases for Amazon Bedrock as generally available. Knowledge bases allow Amazon Bedrock users to unlock the full potential of Retrieval Augmented Generation (RAG) by seamlessly integrating their company data into the language model’s generation process. This feature allows organizations to harness the power

Read More
Shared by AWS Machine Learning July 2, 2024

Our 2024 Environmental Report

Favorite Our 2024 Environmental Report looks at our use of technology to drive environmental change and operate our business sustainably. View Original Source (blog.google/technology/ai/) Here.