Morph-AI

Morph AI: Language Learning Models for Intelligent Applications

Morph AI is a project that harnesses the power of Language Learning Models (LLMs) and AI tools to enable intelligent applications that involve conversing with documents, web searches, and interactive GPT-based chatbots. The project integrates LLMs from GPT-4, Llama, OpenAI, Hugging Face, along with vector databases like Chroma and FAISS, to create a suite of AI tools for diverse applications.

Table of Contents

• Introduction
• Key Features
• Setup
• Usage
• Contributing
• License

Introduction

Morph AI is a Python-based project that showcases the potential of Language Learning Models (LLMs) for building intelligent applications. By utilizing LLMs such as GPT-4, Llama, OpenAI, and Hugging Face models, coupled with vector databases like Chroma and FAISS, Yoda AI empowers developers to create a wide range of applications that span from advanced document-based conversations to dynamic web searches and interactive GPT chatbots.

Key Features

• Advanced Conversations with Documents: Morph AI enables users to interact with documents using natural language queries. It leverages LLMs to comprehend context and deliver meaningful responses.

• Web Search and Data Extraction: With the ability to perform web searches and extract information from search results, Morph AI offers a dynamic approach to answering questions.

• Interactive GPT-Based Chatbots: The project provides a foundation for creating chatbots that employ LLMs to engage in conversations with users, delivering contextually relevant responses.

• Modular Architecture: Morph AI is designed with modularity in mind. Developers can easily switch between different LLMs, vector databases, and tools to suit specific application requirements.

Setup

Clone the repository to your local machine:

git clone https://github.com/your-username/Morph-AI.git
cd Morph-AI

Install the required dependencies:
pip install -r requirements.txt
Download and configure the desired language models, embeddings, and vector databases.

Usage

Navigate to the project directory:

cd Yoda-AI

Explore the provided example scripts and notebooks to understand different application scenarios and techniques.
Customize and extend the project to create your own intelligent applications.

Contributing

Contributions are welcomed and encouraged! If you'd like to contribute to Yoda AI, please follow the guidelines in CONTRIBUTING.md.

License

This project is licensed under the MIT License.


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