Editors Pick

In a seminal but underappreciated book titled , Marcus Hutter attempted a mathematical formulation of universal artificial intelligence, shortened to AIXI. This text goals to make AIXI accessible to data scientists, technical enthusiasts and...

, the usual “text in, text out” paradigm will only take you to date. Real applications that deliver actual value should give you the chance to look at visuals, reason through complex problems, and produce...

language models has made many Natural Processing (NLP) tasks appear effortless. Tools like ChatGPT sometimes generate strikingly good responses, leading even seasoned professionals to wonder if some jobs is likely to be handed...

, I walked through constructing an easy RAG pipeline using OpenAI’s API, LangChain, and native files, in addition to effectively chunking large text files. These posts cover the fundamentals of organising a RAG pipeline...

systems, understanding user intent is key especially in the client service domain where I operate. Yet across enterprise teams, intent recognition often happens in silos, each team constructing bespoke pipelines for various products,...

ChatGPT something like: “Please scout all of tech for me and summarize trends and patterns based on what you think that I could be serious about,” you recognize that you simply’d get something...

, I saw our production system fail spectacularly. Not a code bug, not an infrastructure error, but simply misunderstanding the optimization goals of our AI system. We built what we thought was a elaborate...

0. Introduction (SFC) are fascinating mathematical constructs with many practical applications in data science and data engineering. While they might sound abstract, they’re often hiding in plain sight—behind terms like Z-ordering or Liquid Clustering...