AI

Silicon Valley’s battle against AI regulation is already shaping the next US election cycle.

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to test whenever a model is deployed in a new setting. “We demonstrate that even when you train models on large amounts of data, and choose

We are excited to announce the general availability of multimodal retrieval for Amazon Bedrock Knowledge Bases. This new capability adds native support for video and audio content, on top of text and images. With it you can build Retrieval Augmented Generation (RAG) applications that can search and retrieve information across text, images, audio, and video—all

Gen Z women in China are all in on digital companionship—even setting up dates with real-world versions of their AI boyfriends.

Explosive acceleration, limited dexterity, eyes in the back of its head. What could possibly go wrong?

How the Cyberspace Administration of China inadvertently made a guide to the country’s homegrown AI revolution.

As Europe’s longstanding alliance with the US falters, its push to become a self-sufficient AI superpower has become more urgent.

Leaders at Mira Murati’s startup believe Barret Zoph engaged in an incident of “serious misconduct.” The details are now coming to light.

OpenAI says ads will not influence ChatGPT’s responses, and that it won’t sell user data to advertisers.

Our work with large enterprise customers and Amazon teams has revealed that high stakes use cases continue to benefit significantly from advanced large language model (LLM) fine-tuning and post-training techniques. In this post, we show you how fine-tuning enabled a 33% reduction in dangerous medication errors (Amazon Pharmacy), engineering 80% human effort reduction (Amazon Global