LogoLogo
ChainGPT Home
  • Overview
    • Introduction
    • Mission & Vision
    • Learn The Concepts
      • Large Language Models (LLMs)
      • Text to Image Models (TTIMs)
      • Natural Language Processing (NLP)
      • Machine Learning (ML)
      • Fine-Tuning
      • Generative Model
      • Pretrained Language Model
      • Transformer Architecture
      • Tokenization
      • Contextual Awareness
      • APIs & SDKs
      • Artificial Intelligence Virtual Machine (AIVM)
      • GPU Computing Power
      • AI Data Marketplace
    • Road Map
      • 🔛2025: Q1-Q2
      • 🔜2025-2026 AIVM Blockchain Initiative
      • ✔️2024: Q3-Q4
      • ✔️2024: Q1-Q2
      • ✔️2023: Q3-Q4
      • ✔️2023: Q1-Q2
      • ✔️2022: Q3-Q4
    • FAQ
  • AI Tools & Applications
    • AIVM Blockchain Whitepaper
    • AI NFT Generator
    • Web3 AI Chatbot
    • AI Smart-Contract Generator
    • AI Smart-Contract Auditor
    • AI Crypto News
    • ChainGPT AI Agent on X
    • Nova AI News Agent on X
    • CryptoGuard Extension: Your Web3 Shield
      • Web3 Safety Toolkit
      • Crypto Wallet Security 101
      • Recognizing and Avoiding Scams in Web3
    • AI Trading Assistant
    • AI Cross-Chain Swap
    • Pricing & Membership Plans
  • Dev Docs (B2B, SaaS, API & SDK)
    • Introduction to ChainGPT's Developer Tools
    • SaaS & Whitelabel Solutions
    • Grant Program & Co-Marketing
      • Application
      • FAQ
    • Use Cases & Examples
    • Case Studies
    • Global QuickStart Guide
    • Web3 AI Chatbot & LLM (API & SDK)
      • QuickStart Guide
      • API Reference
      • SDK Reference
      • Unique Capabilities
    • AI NFT Generator (API & SDK)
      • QuickStart Guide
      • API Reference
      • SDK Reference
      • Pricing & Credits
    • Smart-Contracts Generator (API & SDK)
      • QuickStart Guide
      • API Reference
      • SDK Reference
    • Smart-Contracts Auditor (API & SDK)
      • QuickStart Guide
      • API Reference
      • SDK Reference
    • AI Crypto News (API & SDK & RSS)
      • QuickStart Guide
      • API Reference
      • SDK Reference
      • RSS Reference
    • AgenticOS Framework: Web3 AI Agent on X (Open-Source)
  • API Pricing Page
  • API Dashboard & Playground
  • Purchase API Credits
  • Bug Bounty
  • Our Ecosystem
    • CGPT Utility Token
      • Tokenomics
      • Tier System & Benefits
      • Burn Mechanism
      • CGPTc (Credits)
      • CGPTsp (Staking Points)
      • CGPTvp (Voting Power)
      • Staking Dashboard
      • Supply Dashboard
      • Burn Mechanism Dashboard
    • DAO Governance
    • ChainGPT Labs
      • Incubation Case Study: DexCheck
      • Incubation Case Study: Solidus AI Tech
      • Incubation Case Study: GT Protocol
    • ChainGPT Pad
      • Introduction & Overview
      • Tier System
        • Staking
      • KYC Onboarding Guide
      • Register Interest
      • IDO Rounds Explained
      • Leadership Team
      • Flexible Refund Policy
        • Claim & Refund Guide
      • Solana IDO Participation - Guide
      • KOLs Program (Ambassadors)
      • Delegate Staking Functionality
      • One Wallet Connect - Unified Wallet Integration Guide
      • FAQ
      • ChainGPT Pad Giveaways and Launchdrops: Technical Overview
    • DegenPad
      • Introduction to DegenPad
      • Tier System
        • Staking
      • IDO Rounds Explained
      • Flexible Refund Policy
      • DegenPad FAQs
      • Understanding Low FDV Projects on DegenPad
      • Airdrops and Giveaways
      • Delegate Staking Functionality
    • Smart-Contracts
  • Misc
    • Ecosystem Partners
    • B2B Offerings
      • Launchpad Whitelabel
      • AI Web3 Chatbot: Features and Use Cases
    • Work For ChainGPT
      • Product Manager
      • Head of Strategy
      • DevRel - Developer Relations
    • Social Links
      • Twitter: ChainGPT AI
      • Twitter: ChainGPT Pad
      • Twitter: ChainGPT Labs
      • Discord
      • Facebook
      • Instagram
      • Youtube
      • LinkedIn
      • Telegram Chat
      • Telegram News Channel
      • CMC Community
      • Blog
    • ChainGPT AI Brand Kit
    • ChainGPT Pad Brand Kit
    • Legal Docs
      • Privacy Policy
      • Terms of Service
      • Cookies Policy
      • Disclaimer
Powered by GitBook
LogoLogo

ChainGPT.org

On this page

Was this helpful?

Export as PDF
  1. Overview

Learn The Concepts

Last updated 10 months ago

Was this helpful?

ChainGPT AI Model is your go-to AI tool for anything related to Crypto and Blockchain. From solidity development to smart contracts, pine script, and many other solutions, ChainGPT utilizes its advanced AI model. To understand how ChainGPT works, you'll need to be able to familiarize yourself with the concepts behind this technology. It doesn't matter if you're a developer, a business, or a crypto/blockchain enthusiast; understanding the mechanism and technology behind ChainGPT AI can help you learn how to interact with it and improve your workflow.

Natural Language Processing (NLP): ChainGPT is designed to understand and process any input and generate relevant answers using NLP algorithms.

Machine Learning: ChainGPT is built on machine-learning open-source models that were improved significantly and trained to become the advanced AI model ChainGPT is today.

Transformer Architecture: ChainGPT utilizes transformer architecture, which is a deep learning model designed for sequential data processing such as text.

Pretrained Language Model: ChainGPT was trained on a dataset created by our Machine Learning Engineers, and the model was trained on an extensive database of information regarding Blockchain Technologies, Crypto, Technical Analysis, Security Audits, and many more categories in this space. Which allowed us to create the high amount of functionalities we offer.

Generative Model: As a generative AI model, ChainGPT can generate information in continuity to the input ("prompt") it receives. This way, it can answer any user questions regarding Blockchain or Crypto.

Fine-Tuning: To further improve ChainGPT, fine-tuning is a crucial phase to remove inaccurate data and enhance the AI with more information and guidance.

Tokenization: Tokenization is breaking down the text into smaller units, such as words or subwords, which the model can process.

Contextual Awareness: ChainGPT is equipped with contextual awareness, allowing it to understand the context of a conversation and generate relevant responses.

Artificial Intelligence Virtual Machine (AIVM): An Artificial Intelligence Virtual Machine (AIVM) is a specialized software environment designed to facilitate the development, testing, and deployment of AI applications.

GPU Computing Power: GPU Computing Power refers to the use of Graphics Processing Units (GPUs) to perform complex computations and data processing tasks essential for AI applications, despite current market conditions making GPUs a scarce resource.

AI Data Marketplace: An AI Data Marketplace is an online platform that facilitates the buying and selling of high-quality datasets needed to train and refine AI models.

---

Disclaimer