LLM (Large Language Model)
Last updated March 25, 2026
A Large Language Model is the AI technology that powers coding assistants by understanding and generating human language and code.
Large Language Models are neural networks trained on massive datasets of text and code that can understand natural language, generate code, and reason about programming tasks. Models like GPT-4, Claude, and Codestral power most AI coding tools. The model quality directly impacts code generation accuracy.
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Frequently Asked Questions
Which LLM is best for coding?
Claude and GPT-4o lead for complex reasoning tasks. Codestral by Mistral is optimized specifically for code. The best model depends on your specific use case.
Can LLMs run locally?
Yes. Smaller models like Codestral can run locally through Ollama, providing free AI coding without API costs. Quality is lower than cloud models but improving.
How do LLMs learn to code?
LLMs are trained on billions of lines of open-source code from GitHub and other sources, learning patterns, syntax, and programming concepts.