AWS Machine Learning Blog Despite the seemingly unstoppable adoption of LLMs across industries, they are one component of a broader technology ecosystem that is powering the new AI wave. Many conversational AI use cases require LLMs like Llama 2, Flan T5, and Bloom to respond to user queries. These models rely on parametric knowledge to […]Continue reading
MIT News – Artificial intelligence This semester, students and postdocs across MIT were invited to submit ideas for the first-ever MIT Ignite: Generative AI Entrepreneurship Competition. Over 100 teams submitted proposals for startups that utilize generative artificial intelligence technologies to develop solutions across a diverse range of disciplines including human health, climate change, education, and […]Continue reading
15Five Employee turnover is an increasingly significant challenge across nearly every industry, and the decline started well before the Great Resignation. Over the last decade, people have been changing jobs more frequently and staying with their employers for shorter spans. A recent labor statistics study by LendingTree found that between 2012 and 2022, the median […]Continue reading
MIT News – Artificial intelligence In the mid-1980s, composer Tod Machover came across a copy of Philip K. Dick’s science fiction novel “VALIS” in a Parisian bookstore. Based on a mystical vision Dick called his “pink light experience,” “VALIS” was an acronym for “vast active living intelligence system.” The metaphysical novel would become the basis […]Continue reading
AWS Machine Learning Blog The success of generative AI applications across a wide range of industries has attracted the attention and interest of companies worldwide who are looking to reproduce and surpass the achievements of competitors or solve new and exciting use cases. These customers are looking into foundation models, such as TII Falcon, Stable […]Continue reading
AWS Machine Learning Blog Artificial intelligence (AI) adoption is accelerating across industries and use cases. Recent scientific breakthroughs in deep learning (DL), large language models (LLMs), and generative AI is allowing customers to use advanced state-of-the-art solutions with almost human-like performance. These complex models often require hardware acceleration because it enables not only faster training […]Continue reading
Google AI Blog Posted by Cat Armato, Program Manager, Google Groups across Google actively pursue research in the field of machine learning (ML), ranging from theory and application. We build ML systems to solve deep scientific and engineering challenges in areas of language, music, visual processing, algorithm development, and more. We aim to build a […]Continue reading
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