AI

Agents, Agents Everywhere… Our icons are the prettiest (c) Preface: why bother? As you know, in IT there’s no such thing as “doing nothing.” We call it “researching.” That’s the moment when, barely awake before standup, you frantically try to come up with a justification for yesterday’s idleness in a matter of seconds. But even your research might need some artifacts you can present while insisting you’ve been working on it day and night. Not to mention perfectly pragmatic tasks — exploring new topics and terms to impress people and boost your authority (and hang on to that contract in these grim times). ...

Embeddings, Attention, FNN and Everything You Wanted to Know But Were Afraid to Ask Introduction With this, I’m trying to start a series of articles dedicated to LLMs (large language models), neural networks, and everything related to the AI abbreviation. The goals of writing these articles are, of course, self-serving, because I myself started diving into these topics relatively recently and faced the fact that there seems to be a mass of information, articles, and documents written in small print with pretentious diagrams and formulas, reading which, by the end of a paragraph, you forget what the previous one was about. Therefore, here I will try to describe the essence of the subject area at a conceptual level - and so I promise to avoid mathematical formulas and tricky graphs as much as possible, seeing which, the reader inevitably catches themselves wanting to close the browser tab and visit the nearest liquor store. So - no formulas (except the simplest ones), no pretentiousness, no pretensions of looking smarter than I am. Your grandmother should understand these articles, and if that didn’t work out - then I failed the task. ...