AI

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API. Amazon Bedrock also provides a broad set of capabilities needed to build generative AI applications with security, […]

At the top of many automation wish lists is a particularly time-consuming task: chores.  The moonshot of many roboticists is cooking up the proper hardware and software combination so that a machine can learn “generalist” policies (the rules and strategies that guide robot behavior) that work everywhere, under all conditions. Realistically, though, if you have a

Amazon Web Services (AWS) is committed to supporting the development of cutting-edge generative artificial intelligence (AI) technologies by companies and organizations across the globe. As part of this commitment, AWS Japan announced the AWS LLM Development Support Program (LLM Program), through which we’ve had the privilege of working alongside some of Japan’s most innovative teams.

As generative artificial intelligence (AI) applications become more prevalent, maintaining responsible AI principles becomes essential. Without proper safeguards, large language models (LLMs) can potentially generate harmful, biased, or inappropriate content, posing risks to individuals and organizations. Applying guardrails helps mitigate these risks by enforcing policies and guidelines that align with ethical principles and legal requirements.

Newly announced measures by the search giant aim to make AI-generated, or otherwise spoofed explicit content, more difficult to discover.

OpenAI’s newest model is “a data hoover on steroids,” says one expert—but there are still ways to use it while minimizing risk.

People use large language models for a huge array of tasks, from translating an article to identifying financial fraud. However, despite the incredible capabilities and versatility of these models, they sometimes generate inaccurate responses. On top of that problem, the models can be overconfident about wrong answers or underconfident about correct ones, making it tough for

The Olympics is all about pushing the frontiers of human performance. As some athletes prepared for the Paris 2024 games, that included using a new technology developed at MIT.nano. The technology was created by Striv (pronounced “strive”), a startup whose founder gained access to the cutting-edge labs and fabrication equipment at MIT.nano as part of

Amazon Q Business is a fully managed, permission aware generative artificial intelligence (AI)-powered assistant built with enterprise grade security and privacy features. Amazon Q Business can be configured to answer questions, provide summaries, generate content, and securely complete tasks based on your enterprise data. The native data source connectors provided by Amazon Q Business can

In today’s digital landscape, the demand for audio and video content is skyrocketing. Organizations are increasingly using media to engage with their audiences in innovative ways. From product documentation in video format to podcasts replacing traditional blog posts, content creators are exploring diverse channels to reach a wider audience. The rise of virtual workplaces has