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https://github.com/jo99112/sg-ai-dev-tools

Study group resources for AI development tools, focusing on LLMs, GenAI, and Agent architectures including Model Context Protocol (MCP)
https://github.com/jo99112/sg-ai-dev-tools

agents ai ai-development fine-tuning genai langchain llm model-context-protocol rag study-group

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Study group resources for AI development tools, focusing on LLMs, GenAI, and Agent architectures including Model Context Protocol (MCP)

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README

        

# 🚀 SG AI Dev Tools

Welcome to the **SG AI Dev Tools** repository! This project serves as a resource hub for our study group focused on AI development tools. Our main areas of interest include Large Language Models (LLMs), Generative AI (GenAI), and various agent architectures, including the Model Context Protocol (MCP).

![AI Development](https://img.shields.io/badge/AI_Development-Resources-blue.svg)

## Table of Contents

- [Introduction](#introduction)
- [Topics Covered](#topics-covered)
- [Getting Started](#getting-started)
- [Releases](#releases)
- [Contributing](#contributing)
- [License](#license)
- [Contact](#contact)

## Introduction

In the rapidly evolving field of artificial intelligence, having the right tools is essential for success. Our study group aims to explore these tools, share knowledge, and collaborate on projects that enhance our understanding of AI development.

This repository is designed to provide resources, guides, and examples that will help both newcomers and experienced developers navigate the complex landscape of AI technologies.

## Topics Covered

This repository focuses on several key areas:

- **Agents**: Learn about intelligent agents and their applications in AI.
- **AI Development**: Explore various frameworks and libraries that facilitate AI development.
- **Fine-Tuning**: Understand the techniques for fine-tuning models to improve performance.
- **Generative AI (GenAI)**: Dive into the world of generative models and their potential.
- **LangChain**: Discover how LangChain can be used to build applications with LLMs.
- **Large Language Models (LLM)**: Study the architecture and functionality of LLMs.
- **Model Context Protocol (MCP)**: Gain insights into MCP and its role in agent architectures.
- **Retrieval-Augmented Generation (RAG)**: Learn how RAG enhances generative models by incorporating external knowledge.

## Getting Started

To get started with the resources in this repository, follow these steps:

1. **Clone the Repository**: Use the following command to clone the repository to your local machine.

```bash
git clone https://github.com/jo99112/sg-ai-dev-tools.git
```

2. **Explore the Resources**: Navigate through the folders to find various resources, including tutorials, code examples, and documentation.

3. **Download and Execute Releases**: For the latest updates and tools, visit our [Releases](https://github.com/jo99112/sg-ai-dev-tools/releases) section. Download the necessary files and execute them as needed.

## Releases

We regularly update this repository with new tools and resources. To stay up to date, check the [Releases](https://github.com/jo99112/sg-ai-dev-tools/releases) section for the latest downloads.

![Latest Releases](https://img.shields.io/badge/Latest_Releases-Download-orange.svg)

## Contributing

We welcome contributions from everyone. If you have ideas, resources, or code that you would like to share, please follow these steps:

1. **Fork the Repository**: Create your own copy of the repository.
2. **Make Changes**: Implement your changes or add new resources.
3. **Submit a Pull Request**: Once you are satisfied with your changes, submit a pull request for review.

Your contributions help us grow and improve the resources available to the community.

## License

This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.

## Contact

For any questions or suggestions, feel free to reach out:

- **Email**: [[email protected]](mailto:[email protected])
- **GitHub**: [jo99112](https://github.com/jo99112)

---

Thank you for visiting the SG AI Dev Tools repository! We look forward to collaborating and learning together.