Generative AI has made the last few years the most exhibition time in my 30+annual career in mechanized reasoning. Why? The Becuse computer industry and even the public are now eager to talk about ideas that those of us who work in logic have been passionate about for years. The challenges of language, syntax, semantics, … Read more
Chain-nighting reasoning, where a large language model (LLM) is asked not only to perform multistep actions, but to explain its reasons for taking the steps it makes has been shown to improve LLMS ‘reasoning. A promising use of chain-of-tank (COT) Reasoning is to ensure that LLMS complies with the responsible-IA police. Using COT to optimize … Read more
Sales January 2025 Ten Elite University teams from all over the world participated in the first Amazon Nova AA challenge, Amazon Nova Ai Challenge trusted AI. Today we are proud to announce the winners and runners of this global competition: Defense Winner: Team Purpcorn Plan, University of Illinois Urbana-Champaign Attack team winner: Purcl Team, Purdue … Read more
Large language models (LLMs) have come a long way in enforcing responsible-IA standards through robust security mechanisms. However, this mechanism often fails on the side of bail, leading to overfusals – occurrences where the model refuses to answer perfectly benign requests. Although this overcautious behavior can reduce LLMS ‘usefulness in nuanced real world contexts such … Read more
Columbia Engineering and Amazon have announced four new faculty research awards for the Columbia Center of AI Technology (CAIT). The latest round of projects will explore a number of challenges in artificial intelligence (AI), specific algorithmic justice, collected method of interpreting artistic images found on the Internet, the development of a scalable, differential-private data market … Read more
Sales November 2024 Ten top university teams from all over the world have gathered in the initial Amazon Nova AI challenge: trusted AI tracks, focused on strengthening the security of AI cod assistants and developing new automated methods to ‘red-team’ and testing them. After months of intense competition, eight teams have moved on to the … Read more
The drive to exploit the transformative power of high-end machine learning models has meant that some businesses are facing new challenges. Team wants help preparing complete documents, summarizing complex documents, conversation-IA agents who build or generate striking, customized visuals. In April, Amazon stepped in to help clients fight with the need to build and scale … Read more
AI Safety is a priority at Amazon. Our investment in secure, transparent and responsible AI (RAI) includes collaboration with the global community and decision makers. We are members of and collaborate with organizations such as Frontier Model Forum, the partnership on AI and other forums organized by government agencies such as the National Institute of … Read more
USC + Amazon Center on secure and trusted machine learning,,,,,,,, Established in January 2021 to support basic research and development of new approaches to Machine Learning (ML) Privacy, Security and Reliability, announced today that it has chosen six research projects for 2023-2024, including oven facial projects and two academic projects by new Amazon ML fellowships. … Read more
The current ex-excrement about large language models is just the latest fraud of the deep learning revolution that started in 2012 (or maybe 2010), but Columbia professor and Amazon-Damn Richard Zemel were there before before. As a Ph.D. -Students at the University of Toronto in the late 80s and early 90s, Zemel wrote his dissertation … Read more