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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.

Last indexed Sep 202620 relations1 Kaynaklar
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Sep 2026
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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 · Tazelik Skoru: 50%

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Large Language Model nedir?

YüksekGüncellendi Sep 2026

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

Temel Gerçekler
Category
concept
Type
Authority Node
Kaynaklar
1
Nasıl Çalışır

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

Neden Önemli

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
Temel İşlev
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
Güven
Yüksek
Birincil Kaynaklar
1
90
Düşük 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

Kaynaklar

verified95
Last indexed: September 18, 2026