Train LLM from scratch: https://
github.com/FareedKhan-dev
/train-llm-from-scratch
…
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AI Engineering book: https://
dailydoseofds.github.io/ai-engg-book/
CODE
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Train LLM from scratch and AI Engineering book resources
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Build a GPT-style transformer from scratch without high-level libraries
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Train your own LLM from scratch. This repo builds a GPT-style transformer from the ground up, without using any high-level libraries. You see exactly how attention, multi-head attention, the feed-forward block, embeddings, residuals, and layer norm fit together. And it doesn't
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LangChain uses LLM gateway to control coding agent expenses
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A developer using coding agents can accumulate thousands of dollars in weekly expenses before anyone notices. It happened at LangChain, so we built a solution. How we use the LLM gateway internally
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Microsoft Open-Sources AI Coach to Fix Your Coding Habits
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Microsoft just built a coach that catches your AI coding habits and fixes them. Most developers using AI coding tools have no idea if they're improving. Which prompts they repeat. Which habits slow them down. Microsoft just open-sourced AI Engineer Coach to fix that. It's a
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Gradient Adversarial Moving Sample Method for Scientific Machine Learning PDEs
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Gradient Adversarial Moving Sample Method for Scientific Machine Learning in Solving Partial Differential Equation! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #Mathematics #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang
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Sequence Classification with Keras
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Sequence Classification with #Keras. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #PyTorch #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Sequence-Keras -
Automated PR creation from issues matching VISION.md
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Whenever you create an issue on one of oure open source projects, @clawsweeper will review it, and *if* it fits the VISION.md file, will pick it up and create+autoreview a PR. e.g.:
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Babinet contradicts: Fable used by millions
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La première minute de Babinet est un concentré de carabistouilles :
— m_ric (@AymericRoucher) 15 juin 2026
"Mythos [Fable] n'est utilisé que par quelques très rares entreprises"
-> Babinet vit dans une grotte? Des centaines de millions d'utilisateurs ont pu essayer Fable, dans le chat ou dans Claude Code.
"on est… https://t.co/82NaoKXcVKThe first minute of Babinet is a concentrate of nonsense: "Mythos [Fable] is only used by a very few rare companies"
-> Does Babinet live in a cave? Hundreds of millions of users have been able to try Fable, in chat or in Claude Code. "we are -
Coding intelligence reduces bugs; ds4 engineering is great
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IMO for coding you want ad much intelligence as possible to ship better code with fewer bugs. ds4 is great engineering tho.
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Comparing token count to coding, can use Sonnet-class model
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compared to coding these are very few tokens, and you can even use a Sonnet-class model (= gpt 5 mini)