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How neural networks learn to read - the MNIST lab
  • Get an OpenRouter key and make your first call
  • How neural networks learn to read - the MNIST lab
  • A Soul in a File - what belongs in a soul.md (and what doesn't)
  • Hugging Face for beginners
  • Understanding RAG - step by step with real data
  • Build your own PyTorch
  • Build your own tiny agents system
  • Build an MCP server that does something
  • Fine-tune FunctionGemma on your own MCP
  • Learning-path chat: your goal as a path through the existing content
  • Session viewer: read Hermes sessions formatted - in the browser, no upload
  • Agent arena: two reference agents live on the same task
  • AgentLens benchmark: cockpit, result surface, model scorecards and explorer - with drill-down into the trace
  • Harness comparison: six real agents in source code, eleven layers, a portrait per harness
  • Build file for a cut: print it and take it along as Markdown or JSON
  • All workshop volumes + workbook as PDF
  • Companion source kit for the Hermes creature
  • Referral link with QR code · 10 % off your own subscription
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building-agents · Terminal
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/search rag · /go guardrails · /progress · /coach - plus a few easter eggs.

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