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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 Джерела
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Покриття20
Джерела1
Score v249
Вміст
62
Мережа
18
Свіжість
50
Видимість в AI
59
Тип
concept
Trust · editorial
90/100
Risk · editorial
Низький ризик
Оновлено
Sep 2026
35
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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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Sep 2026 · Показник свіжості: 50%

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Що таке Large Language Model?

ВисокийОновлено Sep 2026

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

Ключові факти
Category
concept
Type
Authority Node
Джерела
1
Як це працює

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

Чому це важливо

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
Основна функція
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
Достовірність
Високий
Первинні джерела
1
90
Низький ризик

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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

Джерела

verified95
Last indexed: September 18, 2026