Steal this mega prompt to turn Claude into your personal Napoleon Rapid Execution Planner: Just describe your goal, project, or decision you've been overthinking, delaying, or
circling without moving on. Watch it strip away every reason for hesitation and rebuild your entire
LLMS
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Napoleon Planner for Overthinking Decisions
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Karpathy’s Self-Improving Wiki Framework: Complete Breakdown
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Wow. Insanely fast turnaround from @himanshustwts
! A full breakdown of @karpathy
’s self-improving wiki framework, walking through every stage from ingestion to what comes next -
Karpathy’s Self-Improving AI Knowledge Base System
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Karpathy’s new set-up is the ultimate self-improving second brain, and it takes zero manual editing It acts as a living AI knowledge base that actually heals itself. Let me break it down. Instead of relying on complex RAG, the LLM pulls raw research directly into an
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Gemma 4: World’s Best Small Multimodal Open Models
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[AINews 3 Apr 2026] Gemma 4: The world's best small Multimodal Open Models, dramatically better than Gemma 3 in every way https://
latent.space/p/ainews-gemma
-4-the-best-small-multimodal
… Congrats team!! -
Google Releases Gemma 4 Open Source AI Model Apache 2.0
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Google vient de lâcher Gemma 4 en open source. Et c'est un game changer.
— VISION IA (@vision_ia) 3 avril 2026
Licence Apache 2.0. Téléchargeable maintenant.
Construit à partir de la même recherche que Gemini 3, leur modèle propriétaire le plus puissant. Sauf que celui-là, vous pouvez le faire tourner chez vous.… https://t.co/TApkY3sg7jGoogle just released Gemma 4 in open source. And it's a game changer. Apache 2.0 license. Downloadable now. Built from the same research as Gemini 3, their most powerful proprietary model. Except this one, you can run it at home. No cloud. No subscription. No paying per token.
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Build AI-Enhanced Web Apps with LLMs
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Build AI-Enhanced Web Apps: http://
amzn.to/4bgux6d
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Amazon Summary: "This book shows you step-by-step and example-by-example how to build sites and applications that take advantage of large language models (LLMs) like GPT, Claude, and Llama. Written especially for web -
Stanford’s Free AI Course: Transformers and Large Language Models
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If you’re serious about AI, this is worth your attention. Stanford has just released its course CME 295: Transformers & Large Language Models in full on YouTube. What stands out to me is the level of clarity and structure. This isn’t another surface-level overview. It’s the actual curriculum used to teach how modern AI systems work. This will help you move from using AI to understanding it. 📚 𝗧𝗼𝗽𝗶𝗰𝘀 𝗰𝗼𝘃𝗲𝗿𝗲𝗱 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: • How Transformers actually work (tokenization, attention, embeddings) • Decoding strategies & MoEs • LLM finetuning (LoRA, RLHF, supervised) • Evaluation techniques (LLM-as-a-judge) • Optimization tricks (RoPE, quantization, approximations) • Reasoning & scaling • Agentic workflows (RAG, tool calling) 🎥 Watch these now: – Lecture 1: zurl.co/F0QR5 – Lecture 2: zurl.co/hG5lp – Lecture 3: zurl.co/PnKrW – Lecture 4: zurl.co/XCZoE – Lecture 5: zurl.co/GWlYI – Lecture 6: zurl.co/zGqqQ – Lecture 7: zurl.co/T06NM – Lecture 8: zurl.co/Un42q – Lecture 9: zurl.co/rR3YL For 2026, consider setting aside 2–3 hours each week to go through these lectures. If you’re working in AI whether on infrastructure, agents, or applications, this is a foundational resource worth your time. It’s a simple way to build depth where it matters most. #AI #LLMs #Transformers #Stanford #GenAI
→ View original post on X — @pascal_bornet, 2026-04-03 05:00 UTC
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30 Essential AI Agents for Production-Ready Systems
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30 Agents Every AI Engineer Must Build — Build production-ready agent systems using proven architectures and patterns: https://
amzn.to/41ckg6z via @PacktDataML —
What you will learn:
Deploy production-ready agent systems that scale securely and reliably
Use LangChain and -
50 Machine Learning Projects to Understand Large Language Models
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50 ML projects to understand LLMs — Investigate transformer mechanisms through data analysis, visualization, and experimentation: http://
amzn.to/4aPfP7q
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#AI #GenAI #MachineLearning #DataScientist #DataScience -
Mastering PyTorch: Create and Deploy Deep Learning Models
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"Mastering PyTorch: Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond" – http://amzn.to/40IFEQR via @PacktDataML —————
#AI #ML #MachineLearning #DataScience #DataScientist #GenAI