Not “how they work” internally, nobody needs that to use one. I mean the practical decision: an LLM hands you a fluent, confident answer whether it’s correct or invented, and in high-stakes work (legal, clinical, financial, research, etc) a wrong one carries a cost. Deciding when to trust, when to verify, and when to intervene is a skill, and I’m not sure it’s obvious or widely held. I ended up writing a conceptual guide from my own experience, notes, and study, meant to pass on these LLM fundamentals and build more critical use for people who apply the tool professionally across cross-cutting fields. https://preview.redd.it/s15c7wu5t8ch1.png?width=1415&format=png&auto=webp&s=ec84cca02d83361dfd048d22587faaaa7ed652cc In practice, how do you decide whether you can trust the answer? submitted by /u/el6k00
Originally posted by u/el6k00 on r/ArtificialInteligence