api: "YAML JSON TOON Database"
version: 1.0.0
format: json
dataset:
  id: 5
  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: 0
  created_at: 1777673262
  updated_at: 1777673262
data:
  terms
    [8]{term,definition}:
      Token,"A unit of text processed by LLMs, typically a word fragment or punctuation"
      "Context Window","Maximum number of tokens an LLM can process in a single inference"
      Temperature,"Sampling parameter controlling randomness in generation (0 = deterministic, >1 = creative)"
      RAG,"Retrieval-Augmented Generation: combining LLMs with external knowledge retrieval"
      Fine-tuning,"Adapting a pre-trained model to specific tasks with additional training"
      Quantization,"Reducing model precision (e.g., FP16 to INT8) to decrease size and increase speed"
      "KV Cache","Key-Value cache storing attention computations for efficient autoregressive generation"
      Emergence,"Capabilities that appear only at certain model scales, not predictable from smaller models"