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
Asy is everywhere, big language models are an important topic of conversation at this year’s meeting in Association for Computational Linguistics (ACL). Yang Liu, a senior main scientist with Alexa AI and generally meat at this year’s meeting in Association for Computational Linguistic. “We have several sessions about large language models that were not a … Read more
Foundation Models (FMS) such as large language models and vision-language models are growing in popularity, but their energy ineffective and calculation costs are still an obstacle to wider implementation. To tackle these challenges, we offer a new architecture that, in our experience, reduced an FM’s infernic time by 30%while we had its accuracy. Our architecture … 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
Teaching large language models (LLMS) to reason is an active research topic in natural linguistic treatment, and a popular approach to this problem is the so-called chain-of-tank paradigm, where a model is not only asked to give an end to giving rational For its answer. The structure of the type of prompt used to induce … 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
In most of the last 10 years, Machine Learning (ML) was the heaviness of the concept embedding: An ML model would learn how to convert input data to vectors (embedders) so that geometric conditions within the vector room had semantic consequences. For example, words whose embeddies were close to each other in the representative space … Read more
As the start of this year’s Interspeesch is approaching, “Generative AI” has become a guard word in both the machine learning community and the popular press, where it generally refers to models that synthesize text or images. TTS) Models (TTS-to-Tale), which is an important research area at Interspeech, has in some sense always been “generative”. … 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
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