Large Language Model
A large language model (LLM) is a neural network, typically a transformer with billions of parameters, trained on broad text corpora to predict the next token in a sequence. By learning statistical patterns across language, code, and structured data, it can generate text, answer questions, summarize documents, and follow instructions across domains without task-specific training, given a suitable prompt and context.
Definition
A large language model (LLM) is a neural network, typically a transformer with billions of parameters, trained on broad text corpora to predict the next token in a sequence. By learning statistical patterns across language, code, and structured data, it can generate text, answer questions, summarize documents, and follow instructions across domains without task-specific training, given a suitable prompt and context.
Examples
- A coding assistant that drafts a pull request description from a git diff.
- A support tool that summarizes a 40-message customer thread into key issues.
- An internal agent that classifies incoming sales emails by intent and urgency.
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Frequently asked
- What is Large Language Model?
- A large language model (LLM) is a neural network, typically a transformer with billions of parameters, trained on broad text corpora to predict the next token in a sequence. By learning statistical patterns across language, code, and structured data, it can generate text, answer questions, summarize documents, and follow instructions across domains without task-specific training, given a suitable prompt and context.
- How is Large Language Model used in practice?
- Large Language Model is commonly used in scenarios such as: A coding assistant that drafts a pull request description from a git diff.; A support tool that summarizes a 40-message customer thread into key issues.; An internal agent that classifies incoming sales emails by intent and urgency..
- How does yno.ai support Large Language Model?
- yno.ai supports Large Language Model as part of its agentic AI platform — combining multiple frontier models with extensible tool use.
- What other concepts are related to Large Language Model?
- Large Language Model relates to Tokenization, Context Window, Inference, Knowledge Cutoff. Each links to its own glossary page below.