Non, ça ne sera pas ouvert, c'est pour mon usage, mais je pense que d'ici peu de temps, je vais construire un outil pour permettre à quiconque d'installer très facilement sa propre IA sur son puissant ordinateur, d'autres le feront peut-être avant moi, sinon moi je le ferais.
TOOLS
-

Debugging with Ephemeral Crabbox Sessions
By
–
Whenever I investigate a bug, I let codex recreate the exact state in an emphemeral crabbox, verify the bug, fix it, verify the fix. No messy state because local system might be polluted, and no slowdown because I run 10 sessions in parallel. http://
crabbox.sh -
Context Awareness Unlocks Smarter Research
By
–
The bigger unlock is context awareness. You can bring:
→ Multiple tabs
→ Documents
→ Images Into one query. That means the system understands your entire research flow, not isolated searches. This is what Chrome’s AI Mode is aiming for, and it changes how we learn and -
Claude Code Adds /radio Command for Lo-Fi Coding Beats
By
–
Claude Code adds a /radio command for Lo-Fi coding beats 🤯pic.twitter.com/ukxlWz19l4
— Charly Wargnier (@DataChaz) 9 mai 2026Claude Code adds a /radio command for Lo-Fi coding beats
-

Supercharged Coding with GitHub Copilot, ChatGPT and OpenAI
By
–
Supercharged Coding with #GenAI — From vibe coding to best practices using GitHub Copilot, ChatGPT, and OpenAI: http://
amzn.to/3VBH2Su v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Discover how GitHub Copilot, ChatGPT, and the OpenAI API can boost your coding productivity Push -

Deep Learning with TensorFlow and Keras 3rd Ed. Book Announcement
By
–
Deep Learning with TensorFlow and Keras — Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models (3rd Ed., 667 pages): http://
amzn.to/3gitVEJ v/ @PacktDataML —————
#DataScientist #DataScience #AI #MachineLearning #ML -

Enhance Generative AI with RAG and Internal Data
By
–
Unlocking Data with #GenerativeAI and RAG — Enhance Generative AI systems by integrating internal data with large language models using RAG: http://
amzn.to/3PtFHdv v/ @PacktDataML -

Scikit-learn Cookbook — 80+ Machine Learning Recipes
By
–
Scikit-learn Cookbook — 80+ recipes for #MachineLearning in Python with scikit-learn [3rd Edition]: http://
amzn.to/4oDGOq7 v/ @PacktDataML 𝓒𝓸𝓷𝓽𝓮𝓷𝓽𝓼:
Common Conventions & API Elements of Scikit-Learn
Pre-Model Workflow and Data Preprocessing
Dimensionality -

Build Production-Ready AI Agent Systems
By
–
30 Agents Every AI Engineer Must Build — Build production-ready agent systems using proven architectures and patterns: http://
amzn.to/41ckg6z v/ @PacktDataML —
What you will learn:
Deploy production-ready agent systems that scale securely and reliably
Use LangChain and -

Design Scalable Generative AI with LangChain and Vertex AI
By
–
Generative AI on Google Cloud with LangChain — Design scalable Generative AI solutions with Python, LangChain, and Vertex AI on Google Cloud: http://
amzn.to/4frbkPA v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Turn challenges into opportunities by learning advanced techniques for