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Authority Node · concept

Large Language Model

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

최근 인덱싱 2026년 9월20 개의 관계1 출처
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콘텐츠
62
네트워크
18
최신성
50
AI 가시성
59
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concept
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90/100
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2026년 9월
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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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2026년 9월 · 신선도 점수: 50%

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GET /api/entity/large-language-model?fields=evidenceSchema →Playground →
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Large Language Model란 무엇인가요?

높음업데이트됨 2026년 9월

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

핵심 사실
Category
concept
Type
Authority Node
출처
1
작동 방식

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

중요한 이유

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

관련 개념
지식 스냅샷
카테고리
concept
핵심 기능
A large language model (LLM) is an AI model trained on vast text data to understand and generate human-like language
신뢰 · 편집 평가
90/100
신뢰도
높음
주요 출처
1
90
저위험

지식 그래프

5 개의 관계

관련

비교

추천 지식

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

자주 묻는 질문

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

출처

verified95
최근 인덱싱: 2026년 9월 18일