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Interactive labs, production-depth posts, and failure case studies. Every module is hands-on. Nothing is gated. No backend.

Open the Lab → Browse 128 posts
140+ Interactive modules
128 Production-depth posts
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What you'll practice
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RAG Lab
Configure retrieval, chunking, reranking. Watch the pipeline fail. Fix it. 6 production scenarios.
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Agents Lab
Simulate ReAct loops, tool use, memory patterns, and multi-agent coordination.
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Explore
3D visualizations of attention, embeddings, diffusion, and LoRA decomposition.
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Systems
Fine-tuning lab, A/B testing, shadow mode, model routing, and inference optimization.
Start here — 4 essential reads
Foundations What Is a Transformer? Self-Attention Explained Without the Math 8 min RAG How RAG Actually Works — And Why It's Harder Than It Looks 10 min Agents The ReAct Pattern: How LLM Agents Reason and Act 8 min Failures How AI Agents Fail in Production: A Full Taxonomy 11 min
New — Production failure case studies
Failures Silent Hallucinations: The Confident Wrong Answer That Nobody Catches 10 min Failures Cascade Failure: When an LLM Mistake Breaks the Entire Downstream Pipeline 10 min Failures Cost Explosion: How a Single Prompt Change Multiplied Our API Bill by 40× 9 min