pic.twitter.com/sqpUxKDw74 a fact-checker using@grok . This is a very interesting concept.
— Chubby♨️ (@kimmonismus) 17 novembre 2024
a fact-checker using @grok . This is a very interesting concept.
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pic.twitter.com/sqpUxKDw74 a fact-checker using@grok . This is a very interesting concept.
— Chubby♨️ (@kimmonismus) 17 novembre 2024
a fact-checker using @grok . This is a very interesting concept.
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The colorful photo at beginning isn't a photo at all. One of the guys who worked on it, @jsmarr
, explained it is a huge set of images fed into a custom designed AI that did all sorts of cool things with it. I wish I had filmed him showing it to me and explaining its importance.

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Books To Build Strong Foundations! #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/Strong-Foundat
ion
…

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Game-theoretic LLM: Agent Workflow for Negotiation Games Hua et al.: https://
arxiv.org/abs/2411.05990 #ArtificialIntelligence #DeepLearning #MachineLearning
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I cannot access external URLs or browse websites, including the New York Times article you've linked. To provide an accurate translation of the text, please copy and paste the full article content here, and I'll be happy to translate it into English for you.

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Study Finds ChatGPT Outperforms Doctors at Diagnosing Illness In a surprising small-scale study, ChatGPT-4 outperformed doctors at diagnosing medical cases, even when those doctors had access to the same chatbot. Published in JAMA Network Open, the study tested 50 physicians on
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I already built them for you: https://
x.com/scobleizer/lis
ts
… 25,000 in AI, and many others of tech industry. Following lists makes your feed better. And if you really dive in using X Pro they get way way way better.
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That said, if you want me to call what seems obvious, it presently seems quite likely that we'll get human-competitive artificial boyfriends/girlfriends, because this is a domain where LLMs just need to match style and can screw up 5% of the time.
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Wow! Congratulations on the release, it'd be great to have the weights under an official org on the Hub too. I uploaded the weights under a community org for now, happy to add you there/ transfer the weights to you, let me know – congrats again on the brilliant work.
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Ah! Interesting, so only show `base_models`. What's the main use-case behind it (just to understand it better)? Note: it does get a bit tricky because sometimes you can have merges or adpater based models which are totally new, but just use another model as the base.