AWS Machine Learning Blog
Category: Amazon Q
Reimagining software development with the Amazon Q Developer Agent
Amazon Q Developer uses generative artificial intelligence (AI) to deliver state-of-the-art accuracy for all developers, taking first place on the leaderboard for SWE-bench, a dataset that tests a system’s ability to automatically resolve GitHub issues. This post describes how to get started with the software development agent, gives an overview of how the agent works, and discusses its performance on public benchmarks. We also delve into the process of getting started with the Amazon Q Developer Agent and give an overview of the underlying mechanisms that make it a state-of-the-art feature development agent.
Build private and secure enterprise generative AI apps with Amazon Q Business and AWS IAM Identity Center
As of April 30, 2024 Amazon Q Business is generally available. Amazon Q Business is a conversational assistant powered by generative artificial intelligence (AI) that enhances workforce productivity by answering questions and completing tasks based on information in your enterprise systems. Your employees can access enterprise content securely and privately using web applications built with […]
Accelerate software development and leverage your business data with generative AI assistance from Amazon Q
Enhance productivity, creativity, and data-driven innovation and insights through personalized AI applications tailored to your organization’s needs, with Amazon Q.
Amazon Q Business and Amazon Q in QuickSight empowers employees to be more data-driven and make better, faster decisions using company knowledge
Today, we announced the General Availability of Amazon Q, the most capable generative AI powered assistant for accelerating software development and leveraging companies’ internal data. “During the preview, early indications signaled Amazon Q could help our customers’ employees become more than 80% more productive at their jobs; and with the new features we’re planning on […]
Live Meeting Assistant with Amazon Transcribe, Amazon Bedrock, and Amazon Bedrock Knowledge Bases or Amazon Q Business
You’ve likely experienced the challenge of taking notes during a meeting while trying to pay attention to the conversation. You’ve probably also experienced the need to quickly fact-check something that’s been said, or look up information to answer a question that’s just been asked in the call. Or maybe you have a team member that always joins meetings late, and expects you to send them a quick summary over chat to catch them up. Then there are the times that others are talking in a language that’s not your first language, and you’d love to have a live translation of what people are saying to make sure you understand correctly. And after the call is over, you usually want to capture a summary for your records, or to send to the participants, with a list of all the action items, owners, and due dates. All of this, and more, is now possible with our newest sample solution, Live Meeting Assistant (LMA).
Deploy a Microsoft Teams gateway for Amazon Q Business
In this post, we show you how to bring Amazon Q Business to users in Microsoft Teams. (If you use Slack, refer to Deploy a Slack gateway for Amazon Q Business) You’ll be able converse with Amazon Q Business using Teams direct messages (DMs) to ask questions and get answers based on company data, get help creating new content such as email drafts, summarize attached files, and perform tasks.