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    AI Agents Overview

    Yanok Gab allows you to build your own AI Agent collection so you can turn your chat model into an expert to implement a specific task. The AI Agent works as an enhanced version of the Initial System Instructions for AI models.

    An AI Agent provides you with the power to refine and customize ChatGPT's responses more effectively through the addition of training examples, assigned fixed chat models, voice outputs, custom parameters, etc.

    This feature enables a more targeted and personalized interaction with the AI, thus improving the overall experience and effectiveness of communication.

    Build Your Own AI Agents

    You can build your own AI Agents by:

    1. Click "Select AI Agents" on the UI
    Select AI Agents
    1. Click the "Create AI Agent" button.
    Create AI Agent
    1. Fill in the necessary information
    AI Agent Form

    The AI Agent you create will also be displayed in the "Your AI Agents" section.

    What you can do with Yanok Gab's AI Agents?

    Add Training Examples

    Training examples help the AI assistant learn how to respond to users.

    Training Examples

    Add Conversation Starters

    You can suggest some first messages for the user to select from at the beginning of the conversation.

    Conversation Starters Display
    Conversation Starters Setup

    Assigned fixed chat models, plugins, text-to-speech voices and custom parameters

    You can assign your AI Agent with a:

    • A specific chat model
    • Specific plugins
    • Specific voices (text-to-speech voice)
    • Custom Parameters like Temperature, Top_p, Max tokens, etc.

    In the AI Agent editor, scroll down to navigate the Assigned Model, Assigned Plugins, Assigned Text-to-speech, Assigned Custom model parameters settings and enable them.

    Agent Assignments

    AI Agents trained with Custom data: Retrieve content from an API

    Retrieve content from an API and inject it into the system prompt via Dynamic Context. This can be used to add live information to the AI or implement Retrieval-Augmented Generation (RAG) from your own data sources (e.g., vector store database).

    Learn more on how to set this up: Dynamic Context via API Documents

    Dynamic Context API

    Share your AI Agent

    You can share your amazing AI Agents with your community by clicking the "Share" button.

    Share AI Agent