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.
Retrieval is the foundation that determines what AI can reason over and what it can’t. This resource explains why retrieval strategy, not model choice, is the key to reducing hallucinations, preserving context, and delivering trustworthy enterprise AI answers.
AI coding agents are changing who can build software and what it means to be a developer. A firsthand look at how agents reshape productivity, skills and the future of coding.