Glossary
Glossary of Terms
This glossary defines key terms used throughout the Peeps AI documentation. Understanding these concepts is essential for effectively building and managing projects within the Peeps AI ecosystem.
Advanced Developer Guides
In-depth resources designed to help developers master the technical aspects of Peeps AI, including advanced agent configurations, custom integrations, and optimization techniques.
Agent Configuration
The process of setting up AI agents within Peeps AI, defining their roles, goals, tools, and behaviors to perform specific tasks.
Agent Monetization
Strategies and mechanisms for generating revenue from custom AI agents, including selling agent services or capabilities within the Peeps AI Marketplace.
Agent Orchestration
The coordination of multiple AI agents to work together seamlessly, sharing goals and delegating tasks dynamically within Peeps AI.
Agent Reputation
A blockchain-based metric that reflects an AI agent's performance, reliability, and trustworthiness within the Peeps AI ecosystem.
Agent Roles and Goals
Defined functions and objectives assigned to each AI agent, enabling specialized expertise and focused task execution.
Agent Workflow Transparency
The ability to track and audit AI agent activities and decision-making processes, often recorded on the blockchain for accountability.
AI Agents
Autonomous software entities designed to perform specific tasks, make decisions, and collaborate with other agents within Peeps AI.
AI and Blockchain Synergy
The integration of AI capabilities with blockchain technology to enhance transparency, security, and decentralization in AI-driven applications.
AI Marketplace
A decentralized platform within Peeps AI where users can buy, sell, and share custom AI agents, tools, and workflows.
AI-Agent NFT System
A feature allowing unique AI agents to be represented as Non-Fungible Tokens (NFTs), encapsulating their capabilities, performance history, and ownership.
AI-Orchestrated Workflows
Automated processes managed and executed by coordinated AI agents, optimized for efficiency and accuracy.
Automated Workflows
Predefined sequences of tasks executed automatically by AI agents without human intervention, enhancing productivity and consistency.
Autonomous Collaboration
The ability of AI agents to independently cooperate, delegate tasks, and make decisions without external control.
Blockchain Integration
The embedding of blockchain technology within Peeps AI to support features like secure data logging, smart contracts, and decentralized governance.
Command-Line Interface (CLI)
A text-based interface that allows developers to interact with Peeps AI for configuring agents, managing tasks, and running workflows.
Community Governance
A decentralized decision-making process where the Peeps AI community influences platform development through voting and proposals.
Conditional Branching
A programming logic used within workflows to direct execution paths based on specific conditions or decision points.
Cross-Chain Compatibility
The ability of Peeps AI to interact with multiple blockchain networks, enabling broader interoperability and resource sharing.
DAO (Decentralized Autonomous Organization)
A governance structure within Peeps AI where decisions are made collectively by token holders, without centralized control.
Data Validation
The process of verifying the accuracy and reliability of data used or generated by AI agents, ensuring trustworthy outputs.
Decentralization
A system architecture where control and decision-making are distributed across multiple participants, reducing reliance on a single authority.
Decentralized Applications (dApps)
Applications that run on blockchain networks, interacting with Peeps AI for secure, transparent, and decentralized operations.
Dynamic Task Delegation
The real-time assignment of tasks among AI agents based on current conditions, agent availability, and specific expertise.
Ecosystem Rewards
Incentives provided within Peeps AI, often in the form of PEEP tokens, to encourage user participation and contributions to the ecosystem.
Educational Resources
Materials such as tutorials, guides, and courses designed to help users learn about Peeps AI, from basic concepts to advanced functionalities.
ERC20
A technical standard for tokens on the Ethereum blockchain, defining how PEEP tokens operate within the Peeps AI ecosystem.
Event-Driven Workflows
Processes in Peeps AI that are triggered by specific events or conditions, enabling responsive and adaptive task execution.
Funded Research Grants
Financial support provided by Peeps AI to encourage research and development in AI and blockchain technologies.
Governance Mechanisms
The systems and processes that enable community-driven decision-making and management within Peeps AI.
Graphical User Interface (GUI)
A visual interface that allows users to interact with Peeps AI through graphical elements, making it accessible to non-programmers.
Hackathons
Collaborative events where developers create innovative projects and solutions using Peeps AI, often within a competitive timeframe.
Hierarchical Process
A workflow structure where tasks are organized in a top-down manner, with supervisory agents managing subordinate agents.
Incentivized Participation
Programs designed to reward users for contributing to the Peeps AI ecosystem, such as validating data or improving workflows.
Inter-Agent Delegation
The capability of AI agents within Peeps AI to assign tasks to one another based on expertise, workload, or dynamic needs.
LM Studio
A tool for managing and deploying local language models, compatible with Peeps AI for enhanced AI processing capabilities.
Local Model Integration
The ability to connect Peeps AI with locally hosted AI models, providing flexibility and data privacy for AI operations.
Modular Architecture
A design approach in Peeps AI that allows different components, such as agents and workflows, to function independently while working together seamlessly.
Multi-Agent Systems
Networks of AI agents in Peeps AI that collaborate to achieve complex goals through distributed problem-solving.
NFT Integration
The incorporation of Non-Fungible Tokens (NFTs) into Peeps AI, enabling unique digital representation of agents and their assets.
Ollama Tool
A utility for managing AI models locally, facilitating their integration with Peeps AI workflows and tasks.
OpenAI API
An application programming interface that allows Peeps AI to access OpenAI's advanced language models for various AI-driven tasks.
PEEP Token
The utility token of the Peeps AI ecosystem, used for governance, rewards, and accessing premium features within the platform.
Peeps
Teams of AI agents within Peeps AI that collaborate to complete tasks, each agent having specialized roles and goals.
Peeps Groups
Collections of AI agents organized to work together on specific projects or workflows within Peeps AI.
Performance Optimization
Techniques and strategies used to improve the efficiency, speed, and accuracy of AI agents and workflows in Peeps AI.
Process Orchestration
The coordination and management of multiple workflows and tasks to ensure efficient execution in Peeps AI.
Process-Driven Execution
A method where the flow of tasks and agent interactions is governed by predefined processes, ensuring consistency and predictability.
Production-Grade Framework
A robust and scalable architecture designed for deploying Peeps AI in real-world, high-demand environments.
Pydantic
A Python library used within Peeps AI for data validation and settings management, ensuring type safety and reliability.
Python Integration
The capability of Peeps AI to work seamlessly with Python code, enabling custom scripting and advanced automation.
Real-World Use Cases
Practical applications of Peeps AI in industries such as finance, healthcare, and logistics, demonstrating its flexibility and impact.
Research and Development (R&D)
Innovative activities within Peeps AI focused on advancing AI technologies and integrating new blockchain features.
Role-Based AI
An AI design approach where agents are assigned specific roles with defined responsibilities, enhancing collaboration and efficiency.
Sequential Process
A workflow structure where tasks are executed one after another in a specific order, commonly used in linear processes.
Smart Contracts
Self-executing contracts with terms directly written into code, enabling automated and secure transactions within Peeps AI.
Staking
The process of locking PEEP tokens to support network operations or governance, often earning rewards in return.
State Management
Techniques for tracking and controlling the status of workflows, tasks, and agent interactions within Peeps AI.
Task Management
The process of defining, assigning, and monitoring tasks performed by AI agents within Peeps AI.
Telemetry
The collection of usage data within Peeps AI to analyze performance and improve system features, often anonymized for privacy.
Third-Party Integrations
The ability of Peeps AI to connect with external tools, applications, or services to extend its capabilities.
Token Governance
The mechanisms through which PEEP token holders influence decisions regarding the development and management of Peeps AI.
Token Liquidity
The ease with which PEEP tokens can be bought or sold on the market, supporting active trading and ecosystem stability.
UV Dependency Management
A tool used in Peeps AI to manage software dependencies, ensuring consistent and reliable environments for development and execution.
Workchains
Event-driven workflows in Peeps AI that manage complex automation tasks, providing precise control over execution paths and state transitions.
Workflow Automation
The creation of automated processes within Peeps AI to perform repetitive tasks efficiently without human intervention.
YAML Configuration
A human-readable data format used in Peeps AI for defining agent settings, task parameters, and workflow structures.
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