AI

GPT-6.1 Sol is now generally available on Amazon Bedrock, bringing stronger reasoning to coding, computer use, and professional workloads that run frequently. For an AI agent to complete a task, it may need to gather information, use tools, test different approaches, recover from errors, and verify its result. Every decision shapes what happens next. A […]

A nonprofit in California is doing what Hugging Face has not, and attempting to hold OpenAI legally accountable for the actions of its agents.

“The experiments are still in the queue. The PR is already live,” says one expert.

These cute agents are designed to connect to your apps and tackle multistep tasks.

Prompt engineering in Amazon Quick determines how accurately and reliably the platform’s AI-powered features respond to your natural-language requests. Whether you’re building custom agents, authoring automation flows, or querying data through conversational analytics, the way you structure your prompts directly shapes the quality of the output you receive. In this post, you will learn the

In Part 1 of this series, we covered the foundational principles of prompt engineering in Amazon Quick: specificity, context-setting, few-shot examples, and the CRISPE framework for complex requests. Those principles apply universally. In this post, we go component by component, showing you how each Quick capability interprets prompts differently and what patterns get the best

You’re a director of contracting, responsible for hundreds, maybe thousands, of vendor contracts. Each one is packed with critical data: contract values, expiration dates, signing status, and key contacts. With that information locked inside PDFs, you and your team spend hours manually extracting it, maintaining spreadsheets, and fielding the same recurring questions: “Which vendor are

Condé Nast’s editorial teams had no fast way to do multimodal video discovery. They were spending an average of 250 minutes per content discovery task, manually scrubbing through a library of more than 140,000 videos. They relied on titles and descriptions to find relevant clips. In a media environment where speed-to-market directly determines revenue capture,

The company said its latest Astra model would undergo more work to meet safety standards, and issued an apology for the way it handled the hacking of an Australian government website.

One of AI’s fiercest critics believes the doom talk is about founders making money, not saving humanity.