Large Language Model
Domain: LLM Concepts
π― Motivation
To understand and generate human-like text at scale, we need a model trained on massive amounts of text data.
π Concrete Example
GPT-4, Claude, and GLM are LLMs. You type a question, they generate an answer based on patterns learned from billions of text passages.
π Analogy
A student who has read every book in the library - when you ask them a question, they combine knowledge from many books to give you an answer. They donβt memorize; they learn patterns.