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  5. LLM
Core Conceptsaka Large Language Model

LLM

LLM is industry shorthand for a large language model — a transformer-scale neural network trained to predict or generate text and code token by token.

Ask Melo about this← all terms

People say "the LLM" when they mean the model layer behind a chat product or API — distinct from the UI, agent harness, RAG stack, or fine-tune wrapped around it. Most current LLMs use transformer blocks and next-token objectives; prompting, retrieval, tools, or fine-tuning adapt those weights to downstream tasks. The acronym is used loosely: not every model marketed as an LLM is literally "large" by today's frontier scale, but the term stuck as the default label for generative text models.

Related terms

Large Language ModelTransformerTokenGenerative AIInference vs TrainingPrompt

Where LLM comes up

  • Top 10 Large Language Model (LLM) Directories & Hubs (2026)
  • What are parameters in a large language model? Billions, MoE, and what 2026 model cards really say
  • Petals Resurfaces: Why BitTorrent-Style LLM Inference Still Struggles
  • Mesh LLM v1.0: Split 235B Models Across Your LAN with iroh P2P