Curated articles, resources, tips and trends from the DevOps World.
Today, Amazon Web Services (AWS) announced the release of workspace context awareness in Amazon Q Developer chat.
The traditional way customers had to interact with AWS account resources was through the AWS Management Console, SDKs, or command line interface (CLI) calls.
Hugging Face now hosts more than 700,000 models, with the number continuously rising. It has become the premier repository for AI/ML models, catering to both general and highly specialized needs.
Today, we are announcing the general availability of vector search for Amazon MemoryDB, a new capability that you can use to store, index, retrieve, and search vectors to develop real-time machine learning (ML) and generative artificial intelligence (generative AI) applications with in-memory perfor
Organizations often struggle to solve their business problems in areas like claims processing, inventory tracking, and project approvals.
When we launched Amazon Q Business in April 2024, we also previewed Amazon Q Apps. Amazon Q Apps is a capability within Amazon Q Business for users to create generative artificial intelligence (generative AI)–powered apps based on the organization’s data.
Today, we’re making the Amazon Q Developer (in your IDE) customization capability generally available for inline code completion, and we’re launching a preview of customization for the chat.
With Agents for Amazon Bedrock, generative artificial intelligence (AI) applications can run multistep tasks across different systems and data sources. A couple of months back, we simplified the creation and configuration of agents.
Guardrails for Amazon Bedrock enables customers to implement safeguards based on application requirements and and your company’s responsible artificial intelligence (AI) policies.
Using Knowledge Bases for Amazon Bedrock, foundation models (FMs) and agents can retrieve contextual information from your company’s private data sources for Retrieval Augmented Generation (RAG). RAG helps FMs deliver more relevant, accurate, and customized responses.
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