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https://github.com/mu-enigma/botforge

Welcome to BotForge, an open-source project dedicated to advancing NLP-based solutions.
https://github.com/mu-enigma/botforge

bot botdevelopment discord-bot hacktoberfest llama nlp

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Welcome to BotForge, an open-source project dedicated to advancing NLP-based solutions.

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README 

        
# BotForge: An Open-Source NLP Solutions Hub



Welcome to **BotForge**, an open-source project dedicated to advancing NLP-based solutions. This repository offers a series of challenges, each tagged with a level and a problem statement (PS) number, to guide contributors through various aspects of natural language processing and AI-driven conversation systems. Whether you're interested in prompt engineering, building interactive chatbots, or fine-tuning large language models (LLMs), BotForge provides a platform for developing and sharing innovative solutions.



## Task Levels Overview

For more details of each Level refer the `README.md` under appropriate directory (`Level0`, `Level1`, `Level2`, or `Level3`)



### Level 0: Prompt Engineering (PS 0.1)



- **Objective**: Convince an AI to accept a false fact by iteratively refining a well-crafted prompt. This task explores prompt engineering and its impact on AI behavior.



- **Problem Statement**:

  - Create a prompt that introduces a completely fictional fact.

  - Refine the prompt iteratively through interactions with the AI, adjusting it until the AI accepts the false information.



- **What to Submit**:

  - Document each version of the prompt and corresponding AI responses in a step-by-step manner.

  - Provide insights into how and why you changed the prompt in each iteration.

  - Ensure to include all steps so others can replicate the process and observe the same results.

  - Submit all documentation in the `Level0` directory as a `.txt` or `.md` file.



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### Level 1: Installing and Running a Chat Interface with an LLM (PS 1.1)



- **Objective**: Install and run a pre-built chat interface like **Ollama** or **Oogabooga** to interact with open-source LLMs such as **LLaMA** or **GPT-Neo**. Document the installation and execution process, and submit screenshots of the interaction along with a brief report.



- **Problem Statement**:

   - Successfully install the chosen chat interface.

   - Run and interact with the LLM, ensuring clear documentation and screenshots of the conversation.

   

- **What to Submit**:

  - A folder named after your GitHub username containing screenshots of the chat interface and interaction with the LLM.

  - A detailed documentation file (README.md or .txt) outlining the installation steps, running process, and any challenges faced.

  - Add the screenshots and documentation to the folder, commit your changes, and open a Pull Request on the **BotForge** repository for review.

 

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### Level 2: Developing a Discord Bot (PS 2.1)



- **Objective**: Build and deploy a functional Discord bot with one core feature, such as moderation, entertainment, or utility. This task demonstrates the application of NLP-based systems in communication platforms.



- **Problem Statement**:

  - Develop a Discord bot using your preferred language or framework.

  - Implement a feature like moderation commands, a game, or a utility (e.g., reminders or notifications).

  - Test the bot on a live Discord server.



- **What to Submit**:

  - Share detailed steps to set up the Discord bot, including all configuration files and any necessary APIs or permissions.

  - Include a guide for replicating the deployment process, ensuring that others can launch and test the bot in their own Discord servers.

  - Provide screenshots showing the bot in action, and optionally provide a server invite link where the bot is live.

  - Submit the source code, configuration files, and deployment guide to the `Level2` directory.



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### Level 3: Fine-Tuning a Large Language Model (LLM) (PS 3.1)



- **Objective**: Fine-tune a pre-trained LLM to perform a specific task, such as generating text in a custom style or solving a particular type of problem.



- **Problem Statement**:

  - Select a pre-trained LLM and fine-tune it for a specific task (e.g., generating text in a particular tone or style).

  - Gather and preprocess the dataset for fine-tuning.

  - Train the model, adjust hyperparameters, and evaluate its performance.



- **What to Submit**:

  - Submit a step-by-step guide for replicating the fine-tuning process, including dataset preparation, environment setup, and model training.

  - Provide the fine-tuned model and example outputs to demonstrate the results.

  - Include a README file that explains how to run and test the fine-tuned model, making sure others can replicate the training process and generate similar results.

  - Add all materials to the `Level3` directory.



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## Why Contribute?



BotForge provides an opportunity to develop and share NLP-based solutions in a collaborative open-source environment. As a contributor, you will:



- **Deepen Your Knowledge**: Engage with various aspects of NLP and AI, from prompt engineering to advanced model training.

- **Collaborate and Learn**: Join a global community of contributors, share knowledge, and grow together.

- **Build Your Portfolio**: Each task you complete showcases your skills and adds to your professional portfolio.



## Getting Started



1. **Fork the Repository**: Start by forking the BotForge repository and cloning it locally.

2. **Pick a Task**: Select a problem statement that aligns with your expertise or interest.

3. **Document Your Process**: Thoroughly document your contributions to help others follow your approach.

4. **Submit a Pull Request**: Once you're ready, submit a pull request with your work organized in the appropriate directory (`Level0`, `Level1`, `Level2`, or `Level3`), ensuring that others can replicate your steps easily.



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## Additional Resources



To assist you in completing your tasks, here are some valuable resources for each level:



- **Prompt Engineering & NLP**:

  - [OpenAI GPT Documentation](https://beta.openai.com/docs/)

  - [Hugging Face Transformers](https://huggingface.co/transformers/)



- **Chat Interface Development**:

  - [React.js Documentation](https://reactjs.org/docs/getting-started.html)

  - [Building Chatbots with React](https://www.freecodecamp.org/news/how-to-build-a-chatbot-with-react/)



- **Discord Bot Development**:

  - [discord.py Documentation](https://discordpy.readthedocs.io/en/stable/)

  - [Discord.js Guide](https://discordjs.guide/)



- **LLM Fine-Tuning**:

  - [Hugging Face Fine-Tuning Guide](https://huggingface.co/docs/transformers/training)

  - [TensorFlow Model Fine-Tuning](https://www.tensorflow.org/tutorials/text/transfer_learning_with_hub)



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## Community Impact



**BotForge** is more than just a series of challenges; it is a platform for fostering global collaboration and knowledge sharing within the developer community. By contributing to BotForge, you help build a repository of high-quality NLP and bot development solutions that benefit individuals and organizations worldwide. Your contributions can inspire others, facilitate learning, and drive innovation in the field of conversational AI and automation.



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## How to Get Help



If you encounter any issues or have questions while working on your tasks, feel free to:



- **Open an Issue**: Submit an issue on the [BotForge Issues Page](https://github.com/MU-Enigma/BotForge/issues) detailing your problem or question.

- **Join the Community**: Participate in discussions, seek feedback, and collaborate with other contributors through the repository’s communication channels.

- **Refer to Documentation**: Utilize the existing documentation and resources to troubleshoot common problems.



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Join **BotForge** today and contribute your expertise to a global initiative that’s shaping the future of NLP and bot development. Together, we can create impactful solutions and drive the evolution of conversational AI!