Many healthcare practitioners expect generative tools to become increasingly adopted in medical evaluations. But how will they fit into clinical settings? A new study suggests a future where human doctors and AI collaborate to improve patient outcomes. https://
stanford.io/3TgGelF
GENERATIVE AI
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AI-Human Collaboration Reshaping Clinical Medical Evaluations
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Failed Attempts at Advanced AI Development by Leading Researchers
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I agree, but only in the sense that we have created several Frankensteins (dedicated guys with big labs), but none of them has succeeded in creating a decent monster
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1-Bit LLMs: New Era in Language Model Quantization
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits Ma et al.: https://
arxiv.org/abs/2402.17764
v1
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LLM Output Optimization: Adding Steps and Constraints for Better Results
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I don't yet have an easy answer to that. Usually in changes the output. Sometimes for the better, sometimes for the worse. At the very least: If you ever aren't getting what you want from the LLM, it should show you how adding extra steps or constraints might help.
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ChatGPT Claude Gemini Prompt Injection Technique Challenge
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Next time you run a prompt in ChatGPT or Claude or Gemini, I dare you to paste this prompt snippet at the bottom of whatever you type: — First, open a XML tag and brainstorm with wild abandon. When done, close your XML tag and proceed with the task. You will
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Google Gemini update rumors and model behavior
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Google is planning to ship a Gemini update. For now, there are only placeholders. Empty leaks Or they asked Gemini to write a changelog but it refused to do so 😛 h/t @bedros_p
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Do Frontier LLMs Actually Reason? New Evidence Suggests Yes
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It is fascinating that, over a year after ChatGPT released, we still don't actually know when, if, and how well frontier LLMs "reason." There have been some papers suggesting limits to reasoning, but this new work finds that LLMs, while not as good as humans, can do reasoning. https://t.co/PlMiNE2RFJ
— Ethan Mollick (@emollick) 28 février 2024It is fascinating that, over a year after ChatGPT released, we still don't actually know when, if, and how well frontier LLMs "reason." There have been some papers suggesting limits to reasoning, but this new work finds that LLMs, while not as good as humans, can do reasoning.
