AWS Machine Learning Blog Today, customers of all industries—whether it’s financial services, healthcare and life sciences, travel and hospitality, media and entertainment, telecommunications, software as a service (SaaS), and even proprietary model providers—are using large language models (LLMs) to build applications like question and answering (QnA) chatbots, search engines, and knowledge bases. These generative AI […]Continue reading
AWS Machine Learning Blog Large language models (LLMs) are generally trained on large publicly available datasets that are domain agnostic. For example, Meta’s Llama models are trained on datasets such as CommonCrawl, C4, Wikipedia, and ArXiv. These datasets encompass a broad range of topics and domains. Although the resulting models yield amazingly good results for […]Continue reading
Coronavirus | The Guardian Citizen-led commission suggests deaths may have been avoided if transfers to hospital were allowedThe lives of more than 4,000 care home residents in Madrid could have been saved if the regional government had allowed them to be treated in hospitals, the findings of a citizen-led Covid commission have suggested.Launched in April […]Continue reading
MIT News – Artificial intelligence Last summer, MIT President Sally Kornbluth and Provost Cynthia Barnhart issued a call for papers to “articulate effective roadmaps, policy recommendations, and calls for action across the broad domain of generative AI.” The response to the call far exceeded expectations with 75 proposals submitted. Of those, 27 proposals were selected […]Continue reading
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