https://github.com/jman4162/llm-tutorials
Explore our "LLM Tutorials" GitHub repository for comprehensive guides on using large language models (LLMs) like Llama 2 with PyTorch. Discover practical examples, code snippets, and expert insights to enhance your NLP projects with the latest techniques in language modeling.
https://github.com/jman4162/llm-tutorials
artificial-intelligence deep genai genai-chatbot llama llama2 llm machine-learning nlp python pytorch-nlp pytorch-tutorial tokenizer transformer
Last synced: 4 months ago
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Explore our "LLM Tutorials" GitHub repository for comprehensive guides on using large language models (LLMs) like Llama 2 with PyTorch. Discover practical examples, code snippets, and expert insights to enhance your NLP projects with the latest techniques in language modeling.
- Host: GitHub
- URL: https://github.com/jman4162/llm-tutorials
- Owner: jman4162
- License: mit
- Created: 2024-04-29T23:54:56.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-05-03T23:06:47.000Z (over 1 year ago)
- Last Synced: 2025-06-23T22:07:03.633Z (4 months ago)
- Topics: artificial-intelligence, deep, genai, genai-chatbot, llama, llama2, llm, machine-learning, nlp, python, pytorch-nlp, pytorch-tutorial, tokenizer, transformer
- Language: Jupyter Notebook
- Homepage:
- Size: 7.17 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# LLM-Tutorials
Explore our "LLM Tutorials" GitHub repository for comprehensive guides on using large language models (LLMs) like Llama 2 with PyTorch. Discover practical examples, code snippets, and expert insights to enhance your NLP projects with the latest techniques in language modeling.
## What You'll Find Here
Our tutorials cover a range of topics and models, including:
- **Getting Started**: Basic setups and introductions to working with LLMs in PyTorch.
- **Model Implementation**: Step-by-step guides on how to implement and train models like Llama 2.
- **Text Generation**: Techniques for generating text using causal language models.
- **Advanced Topics**: Insights into fine-tuning and optimizing LLMs for specific tasks.
Each tutorial includes comprehensive code examples, explanations, and best practices to ensure you can follow along and apply the knowledge to your own projects.
## How to Use This Repository
1. **Clone the Repository**: Get a local copy of our tutorials to easily access and run the examples.
```
git clone https://github.com/yourusername/LLM-Tutorials.git
```
2. **Navigate to a Tutorial**: Each tutorial is contained in its own directory with all the necessary files.
3. **Read the Instructions**: Each directory has a README with setup instructions and a detailed explanation of the tutorial's content.
## Contributing
Contributions to the LLM Tutorials repository are welcome! If you have a suggestion, correction, or a new tutorial you'd like to add, please submit a pull request or open an issue.
## License
This project is licensed under the MIT License - see the [LICENSE.md](LICENSE) file for details.
## Contact
Feel free to reach out if you have any questions or feedback. Contact me at jah 70 at vt dot edu.
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This README is crafted to be engaging and informative, providing a clear overview of what users can expect and how they can make the most out of the tutorials in your repository.