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Preet Vadaliya edited this page Jun 11, 2024 · 5 revisions

AiLixir

Framework to create a custom AI agent.

πŸš€ About the Project

Welcome to the Custom AI Agent Framework, a powerful tool designed to create personalized chat interactions using a variety of language model (LLM) engines such as GPT, LLaMA, Gemini, and more. This framework enables developers to build AI agents that engage users through text and voice inputs, gradually constructing user profiles to enhance contextual interactions. πŸ€– πŸ’¬ πŸ”Š

πŸ’« The Project's Vision

AiLixir empowers users to create and incrementally refine custom AI agents that are specialized in specific domains. It assists users in gaining useful, reliable, and timely answers to domain-specific questions they are interested in, eventually becoming a dependable companion in the journey to navigate effectively within the field of their choice.

πŸ‘©β€πŸš€ The Project's Mission

AiLixir aims to produce an MVP for a prototyping tool that allows users, who are entrepreneurs or developers, to create, refine, and compare the results of custom AI agents. AiLixir can be thought of as a combination of three pieces that come together to achieve its goals:

  1. Automated, Modular Pipeline πŸ› οΈ

    • Creates a pipeline for acquiring, storing, and generating current contextual information from handpicked knowledge sources.
  2. Data Pipeline with Parameter Tuning πŸ”„

    • Uses the acquired data and, by utilizing a modular data pipeline, produces answers independently of the underlying components.
    • Allows users to tweak parameters or replace components to find an optimal combination that produces scientifically accurate and useful results.
    • Ensures traceability of sources used to generate the results.
  3. User-Facing App πŸ“±

    • Provides an interface for users to interact with the data pipeline via text and voice modalities.

Made with ❀️ by the AiLixir team