Notes

Technical notes

• AI Agent System Design Notes (AI Agent / LLM / System Design)

  Notes on task decomposition, tool use, context management, memory, workflow orchestration, and result validation.

• LLM Training and Fine-tuning Notes (LLM / Training / Fine-tuning)

  Notes on data construction, training strategies, model adaptation, and task-specific optimization.

• Model Deployment and Runtime Optimization Notes (Deployment / Quantization / Runtime)

  Notes on compression, quantization, inference acceleration, model serving, and production runtime optimization.