On vient de push en prod une nouvelle version d'un de nos agents d'IA chez @deeplayerAI On a gagné quasiment x4 en temps de réponse avec beaucoup d'opti et une migration de notre backend vers une nouvelle archi. Quand une mise en prod se passe comme ca.. C'est magnifique.
CODE
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PyTorch Float8 Experimental Documentation Released
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this has a lot more documentation https://
github.com/pytorch-labs/f
loat8_experimental
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PyTorch Conference 2026: Major Announcements on Performance
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pretty excited for the @pytorch conference today and tomorrow. Some very interesting work being talked about in our Maintainers Keynote in the morning…a big one and a few smaller-but-super-high-impact ones (my favorite being around perf). hope to catch you tomorrow!!!
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Iterative Token-Thought Loop Architecture for LLMs
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Hmm what if you did token->thought1->token->thought2->token->thought3->token->thought4->token->thought1->token->thought2… ?
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Fine-tuning pretrained models with new tokens
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That's interesting – I haven't seen that done before. So did you just add a few tokens to a pretrained model, and then fine-tune them somehow? Or left them as randomly initialised?
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Researcher Access Program for deprecated models and GPT-4
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There's a Researcher Access Program for deprecated models, including at least code-davinci-002. They also offer base GPT-4:
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Mathpix & ChatGPT: Screenshots to LaTeX to Code Workflow
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…or, as a few replies suggested, use Mathpix to turn screenshots into LaTeX and then ChatGPT to turn LaTeX into code:
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OpenAI Developer Quickstart: Build with API Today
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The new and improved @OpenAI developer quickstart just dropped Get started building with the OpenAI API today:
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Understanding Automatic Differentiation in 30 Lines Python
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Victor MARTIN ~ Understanding Automatic Differentiation in 30 lines of Python https://
bit.ly/3t0ejMg #AI #MachineLearning #DeepLearning #LLMs #DataScience