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This article explains how Large Language Models (LLMs) process prompts from tokenization to response generation. It covers the transformer architecture, including self-attention and feed-forward networks, and details the importance of the KV cache in optimizing performance.
TOON is a compact format designed for encoding JSON data, making it easier for large language models to process. It combines YAML's structure with a CSV-like layout to reduce token usage while maintaining accuracy. While effective for uniform arrays, it's less suitable for deeply nested data.