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  • All (20993) +299
    • AI (3155) +14
    • DevOps (933) +7
    • Software (11054) +203
    • IT (5802) +74
    • Education (48)
  • Notice
  • All (20993) +299
  • AI (3155) +14
  • DevOps (933) +7
  • Software (11054) +203
  • IT (5802) +74
  • Education (48)
  • Notice
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  • 1 week ago · ai

    Why Markdown Is The Secret To Better AI

    The status quo of web scraping is broken for AI. For a decade, web extraction was a war over CSS selectors and DOM structures. We wrote brittle scrapers that br...

    #markdown #web scraping #LLM #RAG #token efficiency #data preprocessing #AI pipelines
  • 2 weeks ago · ai

    REFRAG y la dependencia crítica a los pesos del modelo

    Introducción Llevamos todo el 2025 obsesionados con el tamaño de la ventana de contexto: 128 k, 1 millón, 2 millones de tokens. Los proveedores nos vendían la...

    #LLM optimization #context window #relevance verification #model weight dependency #token efficiency
  • 3 weeks ago · ai

    TOON for LLMs: A Benchmark Performance Analysis

    Every API call you make with JSON is costing you more than you think I ran real‑world extractions using Gemini 2.5 Flash, and the results were startling: JSON...

    #LLM #token efficiency #TOON format #JSON #Gemini 2.5 Flash #structured output #tool calling #prompt engineering
  • 1 month ago · ai

    Meet TOON: A Token-First Data Format Built for AI

    '🚀 Why JSON Is Expensive for AI — And How TOON Fixes It

    #TOON #token-oriented data format #LLM #token efficiency #AI cost reduction #JSON alternative #serialization
  • 1 month ago · ai

    TOON vs JSON: A Reality Check — When It Saves Tokens and When It Doesn't

    Introduction There’s been a wave of articles lately about TOON Token‑Oriented Object Notation, many proclaiming it saves “50 % tokens” or calling JSON “outdate...

    #TOON #JSON #token savings #LLM #prompt engineering #data serialization #token efficiency
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