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.
This blog explores how organizations progress through stages of AI maturity, from early experimentation to operational transformation and why growth happens step by step.
Have you ever wondered what the term “artificial intelligence” means, and what lies behind an LLM? In this article, Hector Perez debunks some myths related to the AI hype.