Tag: large language models
Key Components of Large Language Models: Embeddings, Attention, and Feedforward Networks Explained
Understand the three core parts of large language models: embeddings that turn words into numbers, attention that connects them, and feedforward networks that turn connections into understanding. No jargon, just clarity.
Read moreTool Use with Large Language Models: Function Calling and External APIs
Function calling lets large language models interact with real-time data and external tools using structured JSON requests. Learn how it works, how major models differ, where it shines, and what pitfalls to avoid.
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