2024-05-30
O'Reilly Media
4 related
Six AI and ML experts detail what they learned from building real-world applications on top of LLMs over the past year, including common prompting pitfalls
‘What We Learned from a Year of Building with LLMs (Part I)’ — https://www.oreilly.com/... Hallucinations are still a big problem; RAGs are better than fine-tuning; long context models don't help m...
2021-02-16
New Yorker
Some AI researchers are increasingly worried about the lack of ethical oversight, with the job often falling to peer reviewers, a stark contrast to other fields
At artificial-intelligence conferences, researchers are increasingly alarmed by what they see. Tweets: @silverjacket , @mathewjschwartz , @bhecht , @vdignum , @mkearnsupenn , and @sh_reya Tweets: Matt...
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