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Large Language Model

A large language model (LLM) is an AI model trained on vast text data to understand and generate human-like language.

Last indexed Sep 202620 relations1 Источники
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A large language model (LLM) is an AI model trained on vast text data to understand and generate human-like language.

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Что такое Large Language Model?

ВысокийОбновлено Sep 2026

A large language model (LLM) is an AI model trained on vast text data to understand and generate human-like language.

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concept
Type
Authority Node
Источники
1
Как это работает

LLMs are transformer networks with billions to trillions of parameters, trained to predict the next token. They learn patterns, reasoning, and knowledge from corpora. In Web3, LLMs interpret user intent, generate code (smart contracts), ana

Почему это важно

LLMs are the engine of the AI-agent economy — the natural-language interface between users and Web3 infrastructure. They lower the skill barrier to building and using crypto, but also introduce risks: hallucinated contract code, automated s

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concept
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A large language model (LLM) is an AI model trained on vast text data to understand and generate human-like language
Trust · editorial
90/100
Достоверность
Высокий
Первичные источники
1
90
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5 relations

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Recommended Knowledge

1. What Is a Large Language Model

A large language model (LLM) is an AI model trained on massive text data to understand and generate human language. LLMs power chatbots, coding assistants, and increasingly the agent economy in Web3.

2. How It Works

LLMs are transformer networks with billions to trillions of parameters, trained to predict the next token. They learn patterns, reasoning, and knowledge from corpora. In Web3, LLMs interpret user intent, generate code (smart contracts), analyze on-chain data, and drive autonomous agents that interact with blockchains via tool calling.

3. Why It Matters

LLMs are the engine of the AI-agent economy — the natural-language interface between users and Web3 infrastructure. They lower the skill barrier to building and using crypto, but also introduce risks: hallucinated contract code, automated scams, and the need for verifiable inference.

4. Key Facts

  • Examples: GPT, Claude, Llama, DeepSeek, Gemini
  • Fine-tuning adapts base models to specific domains
  • Tool-calling lets LLMs invoke wallets and contracts
  • Cost and latency scale with model size

5. Related Concepts

  • artificial-intelligence
  • inference
  • agent-framework
  • verifiable-compute

Frequently Asked Questions

What is Large Language Model?

A large language model (LLM) is an AI model trained on vast text data to understand and generate human-like language.

How does Large Language Model work?

A large language model (LLM) is an AI model trained on massive text data to understand and generate human language. LLMs power chatbots, coding assistants, and increasingly the agent economy in Web3. LLMs are transformer networks with billions to trillions of parameters, trained to predict the next

Why does Large Language Model matter in Web3?

- inference - agent-framework - verifiable-compute

Источники

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Last indexed: September 18, 2026