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  3. Large Language Model (LLM)

Glossary · AI

Large Language Model (LLM)

A neural network trained on large text corpora to generate and understand language.

What is Large Language Model (LLM)?

A large language model is an AI system trained on vast amounts of text to predict and produce language, powering chatbots, assistants, and copilots.

LLM apps are the surface where in-conversation monetization applies, because their output is generated text delivered turn by turn.

Large Language Model (LLM) in context

To understand Large Language Model (LLM) fully, it helps to know the concepts around it. Streaming (SSE), sending an LLM response incrementally, token by token, as it is generated. Prompt, the input text that instructs an LLM what to do. Retrieval-Augmented Generation (RAG), grounding an LLM's answers in retrieved external documents. Inference Cost, the compute cost of running an LLM to produce a response.

Together these describe how ai works in practice for an AI app, and where Large Language Model (LLM) fits among them.

Frequently asked questions

Start monetizing in about 5 minutes

Wrap your existing LLM response stream with the Monetzly SDK and earn on every session, no paywall required.

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Related

All terms
AI app monetization guide
Streaming (SSE)
Prompt
Retrieval-Augmented Generation (RAG)
Inference Cost
Retrieval-Augmented Generation (RAG)
Streaming (SSE)
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