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Level 3 · Advanced Under the Hood

Goal: understand what's inside the models you've been calling — transformers, tokenizers, embeddings — and learn to run and adapt open-weight models on your own hardware.

Modules

  1. Transformer Internals
  2. Tokenizers Deep Dive
  3. Embeddings & Semantic Search
  4. Running Local Models with Ollama
  5. Serving Open Models with vLLM
  6. Fine-Tuning Fundamentals (LoRA/QLoRA)
  7. Quantization & Inference Optimization
  8. Guardrails & Content Moderation
  9. Observability & Tracing
  10. Project — Self-Hosted LLM Stack

By the end of this level you'll be able to run, serve, and fine-tune open-weight models and instrument LLM applications end to end.