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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 Sources
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Coverage20
Sources1
Score v249
Content
62
Network
18
Freshness
50
AI Visibility
59
Type
concept
Trust · editorial
90/100
Risk · editorial
Low Risk
Updated
Sep 2026
35
🔥 Intelligence Level
Information activity, not investment advice
🔥 Activity 0🛡 Security 98🕒 Freshness 50👀 Attention 0⚙ Development 5
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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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Last Updated

Sep 2026 · Wynik świeżości: 50%

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Direct Answer

What is Large Language Model?

HighUpdated Sep 2026

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

Kluczowe fakty
Category
concept
Type
Authority Node
Sources
1
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), ana

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 s

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Category
concept
Core Function
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
Confidence
High
Primary Sources
1
90
Low Risk

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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

Sources

verified95
Last indexed: September 18, 2026