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.
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.
This post explores practical approaches to adopting AI responsibly in SaaS products, with a focus on ethical decision-making, sustainability and long-term value. It outlines key considerations teams can use to evaluate where AI adds real impact without unnecessary complexity.
Learn what embeddings are, how they convert text into vectors and why they power semantic search, RAG and modern AI applications—with clear examples and Python code.
This blog explains how Mixture of Experts models work, why they improve performance and efficiency and how they compare to traditional model architectures.