Palantir faces challenge to remove Anthropic from Pentagon's AI software

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В США ответили на вопрос о выходе из конфликта с Ираном02:47,详情可参考新收录的资料

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I write this as a practitioner, not as a critic. After more than 10 years of professional dev work, I’ve spent the past 6 months integrating LLMs into my daily workflow across multiple projects. LLMs have made it possible for anyone with curiosity and ingenuity to bring their ideas to life quickly, and I really like that! But the number of screenshots of silently wrong output, confidently broken logic, and correct-looking code that fails under scrutiny I have amassed on my disk shows that things are not always as they seem. My conclusion is that LLMs work best when the user defines their acceptance criteria before the first line of code is generated.。新收录的资料是该领域的重要参考

Jensen Huang says Nvidia is pulling back from OpenAI and Anthropic, but his explanation raises more questions than it answers

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