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LLMs

Fine-tune LLMs in Practice

Explore dataset preparation, parameter-efficient adaptation, evaluation, and practical model trade-offs.

LLMsFine-tuningPEFT
Fine-tune LLMs in Practice

Course outline

  1. Foundations and environment setup
  2. Build a guided working example
  3. Evaluate and improve the project
  4. Package your work for reuse

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