A Journey from AI to LLMs and MCP - 2 - How LLMs Work — Embeddings, Vectors, and Context Windows
Explains how LLMs work by converting words to numerical embeddings, using vector spaces for semantic understanding, and managing context windows.
Explains how LLMs work by converting words to numerical embeddings, using vector spaces for semantic understanding, and managing context windows.
A comprehensive guide to using Rust's built-in collection types, including vectors, arrays, hashmaps, and sets, with performance tips and examples.
A technical guide on how to properly call closures stored in a Rust Vec, addressing common borrowing and mutability errors.