{
    "api": "YAML JSON TOON Database",
    "version": "1.0.0",
    "format": "json",
    "dataset": {
        "id": 440,
        "slug": "llm-glossary",
        "title": "Large Language Model Glossary",
        "description": "Key terms and concepts in LLM technology: tokens, context windows, temperature, RAG, fine-tuning, quantization, KV cache, and emergence.",
        "category": "AI & ML Terms",
        "category_slug": "ai-ml-terms",
        "tags": "llm,ai,glossary,nlp",
        "view_count": 6,
        "created_at": 1781275786,
        "updated_at": 1781275786
    },
    "data": {
        "terms": [
            {
                "term": "Token",
                "definition": "A unit of text processed by LLMs, typically a word fragment or punctuation"
            },
            {
                "term": "Context Window",
                "definition": "Maximum number of tokens an LLM can process in a single inference"
            },
            {
                "term": "Temperature",
                "definition": "Sampling parameter controlling randomness in generation (0 = deterministic, >1 = creative)"
            },
            {
                "term": "RAG",
                "definition": "Retrieval-Augmented Generation: combining LLMs with external knowledge retrieval"
            },
            {
                "term": "Fine-tuning",
                "definition": "Adapting a pre-trained model to specific tasks with additional training"
            },
            {
                "term": "Quantization",
                "definition": "Reducing model precision (e.g., FP16 to INT8) to decrease size and increase speed"
            },
            {
                "term": "KV Cache",
                "definition": "Key-Value cache storing attention computations for efficient autoregressive generation"
            },
            {
                "term": "Emergence",
                "definition": "Capabilities that appear only at certain model scales, not predictable from smaller models"
            }
        ]
    }
}