 LLMs hallucinate — and that's fine. Until you deploy it to production. An excellent article was published on Habr by an architect who systematized the types of language model hallucinations. He broke it down in detail: when the model fabricates facts, when it contradicts itself, when it "forgets" the context. Why is this important for everyone working with AI? Any LLM is a generator of plausible text, not a knowledge base. The difference between "sounds convincing" and "matches the facts" is the very chasm into which unprepared projects fall. At ASI Biont, we build AI agents, and the issue of hallucinations is one of the key aspects in the architecture. Each agent goes through a validation layer before delivering a result to the user. Because trust is built over years and lost in a single hallucination. Article on Habr: https://habr.com/ru/articles/1029862/ Have you encountered AI hallucinations in your work? Share your stories in the comments.