digital-health-clinical-asr-finetune

Extreme optimization for minimal token usage. Eliminates all narration, fluff, and process descriptors. Deliver results as raw data or compact summaries.

Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward…

Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing…