1.5 Flash excels at summarization, chat applications, image and video captioning, data extraction from long documents and tables, and more. This is because it’s been
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Chatbots can wear a lot of proverbial hats: dictionary, therapist, poet, all-knowing friend. The artificial intelligence models that power these systems appear exceptionally skilled and

Our approach to analyzing and mitigating future risks posed by advanced AI models Google DeepMind has consistently pushed the boundaries of AI, developing models that

Daniela Rus, director of MIT’s Computer Science and Artificial Intelligence Laboratory and MIT professor of electrical engineering and computer science, was recently named a co-recipient

How summits in Seoul, France and beyond can galvanize international cooperation on frontier AI safety Last year, the UK Government hosted the first major global

Machine-learning models can make mistakes and be difficult to use, so scientists have developed explanation methods to help users understand when and how they should

Acknowledgements This work was made possible by the contributions of: Ankush Gupta, Nick Pezzotti, Pavel Khrushkov, Tobenna Peter Igwe, Kazuya Kawakami, Mateusz Malinowski, Jacob Kelly,

Large language models (LLMs) that drive generative artificial intelligence apps, such as ChatGPT, have been proliferating at lightning speed and have improved to the point

Research Published 19 July 2024 Exploring AGI, the challenges of scaling and the future of multimodal generative AI Next week the artificial intelligence (AI) community

Machine-learning models can fail when they try to make predictions for individuals who were underrepresented in the datasets they were trained on. For instance, a