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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.

Terakhir diindeks Sep 202620 relasi1 Sumber
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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 · Skor Kesegaran: 50%

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Apa itu Large Language Model?

TinggiDikemaskini Sep 2026

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

Fakta Kunci
Category
concept
Type
Authority Node
Sumber
1
Cara Kerjanya

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

Mengapa Penting

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
Fungsi Inti
A large language model (LLM) is an AI model trained on vast text data to understand and generate human-like language
Kepercayaan · editorial
90/100
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Tinggi
Sumber Utama
1
90
Risiko Rendah

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Pengetahuan Direkomendasikan

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

Pertanyaan yang Sering Diajukan

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

Sumber

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Terakhir diindeks: September 18, 2026