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  • Introduction
    • Welcome to AI Agent Factory
    • How AIAF Works
    • The AI Ownership Problem
  • Platform Vision
    • AI Agent Creation
    • NFT Marketplace
    • Hybrid Compute Network
  • Technical Architecture
    • System Overview
    • Blockchain Integration
    • AI Framework
    • Compute Infrastructure
  • Tokenomics
    • $AIAF Token
    • Fee Structure
  • Future Roadmap
    • Development Plan
  • Glossary & References
    • Technical Terminology
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© 2025 AI Agent Factory

On this page
  • Blockchain Concepts
  • Layer 2 (L2)
  • zkSync Era
  • NFT (Non-Fungible Token)
  • Smart Contract
  • ERC-20
  • ERC-721
  • AI Terminology
  • AI Agent
  • Agent Composition
  • Federated Learning
  • Model
  • Inference
  • Fine-tuning
  • Platform-Specific Terms
  • Hybrid Compute Network
  • Agent NFT
  • Compute Provider
  • SLA (Service Level Agreement)
  • Technical Standards
  • REST API
  • GraphQL
  • JSON (JavaScript Object Notation)
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  1. Glossary & References

Technical Terminology

This glossary defines key terms used throughout the AIAF documentation.

Blockchain Concepts

Layer 2 (L2)

A scaling solution built on top of a base blockchain (Layer 1) that processes transactions off the main chain while inheriting its security properties.

zkSync Era

A Layer 2 scaling solution for Ethereum that uses zero-knowledge proofs to provide fast, low-cost transactions with strong security guarantees.

NFT (Non-Fungible Token)

A unique digital asset that represents ownership of a specific item or piece of content, in AIAF's case, an AI agent.

Smart Contract

Self-executing code deployed on a blockchain that automatically enforces and executes the terms of an agreement.

ERC-20

The Ethereum token standard for fungible tokens, used for the $AIAF utility token.

ERC-721

The Ethereum token standard for NFTs, used as the basis for AIAF's agent tokenization.

AI Terminology

AI Agent

An autonomous software entity that can perceive its environment, make decisions, and take actions to achieve specific goals.

Agent Composition

The combining of multiple AI agents to create more complex systems that leverage the specialized capabilities of each component agent.

Federated Learning

A machine learning approach that trains algorithms across multiple decentralized devices or servers holding local data samples, without exchanging them.

Model

The mathematical representation of an AI system, typically trained on data to recognize patterns and make predictions.

Inference

The process of using a trained AI model to make predictions or decisions based on new input data.

Fine-tuning

The process of further training a pre-trained model on a specific dataset to adapt it to particular tasks or domains.

Platform-Specific Terms

Hybrid Compute Network

AIAF's computation infrastructure that combines professional GPU farms with decentralized community nodes.

Agent NFT

The tokenized representation of an AI agent on the blockchain, establishing verifiable ownership and enabling monetization.

Compute Provider

An entity that contributes computational resources to the AIAF network, either through professional infrastructure or decentralized nodes.

SLA (Service Level Agreement)

A commitment between AIAF and users regarding service quality, availability, and performance metrics for AI agent execution.

Technical Standards

REST API

A software architectural style that defines a set of constraints for creating web services, used for AIAF's programmatic interfaces.

GraphQL

A query language for APIs and a runtime for executing those queries with existing data, providing a more efficient and flexible alternative to REST.

JSON (JavaScript Object Notation)

A lightweight data-interchange format used for configuration files and data exchange between the AIAF platform and applications.

Last updated 2 months ago