You now understand how to take fine-tuned models to production.
Takeaways:
- Evaluate thoroughly before deploying
- Quantize for efficient inference (GPTQ, AWQ, GGUF)
- Serve with optimized infrastructure (vLLM, TGI)
- Monitor latency, throughput, and errors
- A/B test and rollback safely
This completes the roadmap. You have the knowledge to fine-tune LLMs from start to finish.