Blog_dumb

AWS at NVIDIA GTC 2024: Accelerate innovation with generative AI on AWS

AWS at NVIDIA GTC 2024: Accelerate innovation with generative AI on AWS

AWS was delighted to present to and connect with over 18,000 in-person and 267,000 virtual attendees at NVIDIA GTC, a global artificial intelligence (AI) conference that took place March 2024 in San Jose, California, returning to a hybrid, in-person experience for the first time since 2019. AWS has had a long-standing collaboration with NVIDIA for …

AWS at NVIDIA GTC 2024: Accelerate innovation with generative AI on AWS Read More »

Build an active learning pipeline for automatic annotation of images with AWS services

Build an active learning pipeline for automatic annotation of images with AWS services

This blog post is co-written with Caroline Chung from Veoneer. Veoneer is a global automotive electronics company and a world leader in automotive electronic safety systems. They offer best-in-class restraint control systems and have delivered over 1 billion electronic control units and crash sensors to car manufacturers globally. The company continues to build on a …

Build an active learning pipeline for automatic annotation of images with AWS services Read More »

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

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

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 new features of Knowledge Bases for …

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

Cloud Cultures, Part 6: Accelerating collective growth in Malaysia

Cloud Cultures, Part 6: Accelerating collective growth in Malaysia

Innovate, Connect, Cultivate The Cloud Cultures series is an exploration of the intersection between cloud innovation and culture across the globe.  Malaysia accelerates growth through digital transformation Amidst the swiftly changing digital landscape, Malaysia stands out as a dynamic force capturing global attention. This nation—enriched by its diverse population comprised of Malays, Indians, Chinese, and …

Cloud Cultures, Part 6: Accelerating collective growth in Malaysia Read More »

Knowledge Bases for Amazon Bedrock now supports metadata filtering to improve retrieval accuracy

Knowledge Bases for Amazon Bedrock now supports metadata filtering to improve retrieval accuracy

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With Knowledge Bases for Amazon Bedrock, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data using a fully managed Retrieval Augmented Generation (RAG) model. For RAG-based applications, the accuracy of the generated responses from FMs …

Knowledge Bases for Amazon Bedrock now supports metadata filtering to improve retrieval accuracy Read More »

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

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

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. One popular approach is using Retrieval Augmented Generation (RAG) to create Q&A systems …

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

Scroll to Top