For centuries, theories of meaning have been almost exclusively interested in philosopher, discussed in seminar rooms and at conferences for small special audiences. But the emergence of large language models (LLMs) and other “Foundation Models” have changed it. Suddenly, mainstream media live with speculation about what is only trained to predict the next word in … Read more
Autoomous Vehicles (AVS) such as Zoox-Special-built Robotaxi take a new era in human mobility, but the implementation of AVS comes with many challenges. It is important to perform extensive safety test simulation, which requires the creation of synthetic driving scenarios on scale. Particularly important is to generate realistic safety -critical road scenarios, to test how … Read more
Large machine learning models based on the transformer architecture have recently demonstrated extraordinary results about the range of vision and language tasks. But so large models are often too slow for real -time use, so practical systems are often dependent on knowledgeillation to distill large models’ knowledge to slimmer, faster models. The defining characteristic of … Read more
At Amazon, responsible AI development includes collaboration with leading universities to promote breakthrough research. When we acknowledge that many academic institutions lack resources for major studies, we transform the landscape with the Amazon Nova AI challenge. While Amazon Nova Ai Challenge will explore different facets of generative AI (Gen AI), this year’s challenge is centered … Read more
A way for online shoppers that practically test products is a sought -after technology that can create a more immersive shopping experience. Examples include realistic draping of clothing in a picture of the shopper or insertion of pieces of funnitue in pictures of shoppers living space. Related content Response of light and density fields that … Read more
Millions of customers around the world rely on Amazon’s huge online catalog, which contains information about the HUGS of millions of products to make informed purchase decisions. To ensure that catalog data is understanding, consists and accurate, the Amazon catalog team uses a wide range of machine learning models-inclusive generative-AA models that synthesize textual and … Read more
One of the lessons in the Machine Learning Revolution has been that perhaps resistant, to educate a model of multiple data types or multiple tasks can improve the relative performance of one-facing models. A model trained in multiple languages, for example, can lead to distinctions that are subtle in one language, but pronounced in another, … Read more
In recent years, the fields of natural language processing and computational linguistics, which were revolutionized a decade ago by deep learning, were again revolutionized by large language models (LLMs). It is not surprising that work involving LLMs, either as the subject of Infuny Therm, or as tools for other natural language processing applications, dominates at … Read more
In the last few years, foundation models and generative-IA models-and especially large language models (LLMs)-have become an important topic for AI research. It is true even in computer vision with its increased focus on vision-language models, such as Yoke LLMS and image codes. This shift can be seen in the blanks of the Amazon papers … Read more
Today, Amazon is announcing the Amazon Trusted Ai Challenge, a global university competition to run secure innovation in generative AI technology. This year’s challenge focuses on responsible AI and specifically on the Large Language Model (LLM) Coding Security. “We focus on promoting the capabilities of coding LLMs, exploring new techniques to automatically identify possible vulnerabilities … Read more