GENAI Repository

This repository is a comprehensive resource for researchers and practitioners working with Large Language Models (LLMs). It contains implementations, tutorials, and documentation on various advanced techniques and fundamental concepts related to LLMs.

Repository Structure

Advanced_Techniques_for_LLMs

Efficient_Fine-tuning (AdaFactor_Optimizer, LoRA, Prefix_Tuning, Prompt_Tuning)
Knowledge_Distillation (DistilBERT, Teacher-Student_Models)
Model_Scaling
Pruning
Quantization
Retrieval_Augmentation
Transfer_Learning

Language_Model_Fundamentals

Neural_Network_Architectures (CNNs, GNNs, RNNs, Transformers)
Tokenization (Subword_tokenization, Word-level_tokenization)

Getting Started

To get a local copy up and running, follow these simple steps:

Clone the repository:

git clone https://github.com/Skyrider3/GENAI.git

Navigate to the project directory:
```
cd GENAI
```
Install dependencies (if any):
```
pip install -r requirements.txt
```

Usage

Explore the different directories to find implementations, tutorials, and documentation on various LLM techniques. Each subdirectory contains its own README with specific instructions and explanations.

Contributing

We welcome contributions from the community! Please see our CONTRIBUTIONS.md file for details on how to get started.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

Contact

For any questions or suggestions, please open an issue in this repository or contact the maintainers directly.

We hope this repository helps advance your understanding and implementation of Large Language Models. Happy exploring!