// TAG: LLMS

This chapter introduces TOON (Token-Oriented Object Notation), explaining its core syntax, design philosophy for token efficiency, and how it differs …

This chapter introduces JSON Schema for defining, validating, and documenting the structure of JSON data. Learn how to create schemas, enforce data …

Explore TOON's advanced syntax, including key folding, custom delimiters, and detailed quoting rules. Learn best practices for maximizing token …

This chapter provides a deep dive into the performance characteristics of JSON and TOON. It covers token cost analysis, benchmarks across various LLMs …

A step-by-step guided project to build an AI agent capable of extracting structured information from unstructured text. This project leverages both …

This project guides you through refactoring complex JSON prompts into token-efficient TOON to reduce costs and improve LLM performance. You'll work …

A comprehensive guide to JSON and TOON, two essential data formats for AI and Large Language Models. Learn their fundamentals, advanced usage, …

A complete guide to understanding data science and deep learning for fine-tuning, restructuring, quantizing, and retraining local LLMs like Ollama.