This article explores the shift from retrieval-augmented generation (RAG) tutorials to production-ready architectures, focusing on latency, cost control, reliability and compliance in real-world deployments.
Learn what fine-tuning is, when to use it and how to apply OpenAI’s supervised, DPO, and reinforcement fine-tuning methods. Includes practical examples, JSONL formats and best practices.