This repository aims to guide enthusiasts and professionals in the world of Large Language Models (LLMs). Here, you will find resources and tools for:
- LLM Building: Step-by-step guides and best practices to build your own Large Language Models from scratch. 🛠️
- LLM Fine-tuning: Techniques and methodologies to fine-tune pre-existing models to suit specific use-cases. 🎯
- Use-case Benchmarking: Detailed processes and tools to benchmark LLMs across various use-cases, ensuring optimal performance. 📊
Large Language Models are revolutionizing numerous fields, from natural language processing to AI-driven applications. However, navigating the complexities of building, fine-tuning, and benchmarking these models can be challenging. This open-source repository is designed to simplify these processes and provide a centralized hub for all related resources.
- Comprehensive Guides: Detailed documentation to help you get started with building and fine-tuning LLMs.
- Benchmarking Tools: Scripts and tools to benchmark the performance of your models across various use-cases.
- Community Support: Join our community of developers and researchers to share insights, ask questions, and collaborate on projects.
-
Clone the Repository:
git clone https://github.com/Pragadesh-45/MarxLLM.git cd MarxLLM -
Explore the Documentation: Start with the Getting Started Guide.
To deepen your understanding of LLMs, we recommend the following research papers and resources:
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- GPT-3: Language Models are Few-Shot Learners
- Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping
- The Illustrated Transformer
We welcome contributions from the community! Whether it's improving documentation, adding new benchmarking scripts, or sharing your insights, your contributions are valuable. Please read our Contributing Guidelines to get started.
This project is licensed under the GPL-3.0 License - see the LICENSE file for details.
Follow us on GitHub to stay updated on the latest developments and releases.
Feel free to add more research papers, resources, or links that you find useful. Let's build a comprehensive knowledge base together!