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TOON (Token-Oriented Object Notation) is the newest data format built specifically for the AI and LLM era. JSON was perfect for the web… but not for token-hungry models. In this video, I explain why JSON struggles with LLMs and how TOON fixes those problems with fewer tokens, faster processing, and a structure that matches how models ā€œthink.ā€ šŸ‘‰ You’ll learn: • The evolution of INI → XML → JSON → YAML → TOON • Why JSON becomes expensive for LLM communication • How TOON reduces 30–60% tokens • TOON syntax with real examples • When to use TOON… and when NOT to • Performance benchmarks and real use cases • Will TOON replace JSON for AI workflows? šŸ”— TOON GitHub: github.com/toon-format/toon šŸ’¬ What do you think? Will TOON become the new standard for GenAI communication? If you found this helpful, don’t forget to Like, Share, and Subscribe for more videos on AI, system design, and architecture. Let’s keep learning! #TOONFormat #JSONVsTOON #LLM #AIEngineering #GenAI #AIArchitecture #DataFormats #TokenOptimization #MachineLearning #SystemDesign #AIExplained #Developers #TechDeepDive #AmanExplains TOON format, Token Oriented Object Notation, JSON vs TOON, LLM communication formats, AI data formats, token efficiency, reduce tokens LLM, optimized data for AI, TOON tutorial, TOON examples, JSON limitations AI Is JSON Dead? What is TOON? The New Data Format Built for AI

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