How do Large Language Models work? #ArtificialIntelligence #LLM #gpt

Añadido: 2026-04-29

[00:00:00]LLMs don't understand language. They simulate understanding using statistics.

[00:00:05]Let's learn large language models in just 60 seconds.

[00:00:08]LLMs are trained on massive data sets, books, code, entire internet text, and whatnot. During training, input is tokens, model predicts next token, loss is minimized, and weights are updated.

[00:00:20]This repeats billions of times, so model learns probability distribution over a sequence. Not meaning, not reasoning, but patterns. So, when you ask "Explain recursion," it doesn't know recursion.

[00:00:32]It retrieves patterns that matches similar contexts. That's why it explains well, but it struggles with novel logic.

[00:00:39]Fails multi-step reasoning sometimes.

[00:00:41]LLMs simulate intelligence. They don't possess it. If you understand this, you'll stop trusting outputs blindly and start validating with systems. Click here to know more in depth.