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Custom AI Models

Notes on training, fine-tuning, and deploying custom AI models.

Topics​

  • Fine-tuning and LoRA/adapters
  • Dataset curation and evaluation harnesses
  • Distillation and quantization for edge deployment
  • Serving and inference optimization
  • Model evaluation and regression testing