Introduction
This project, Build a Large Language Model from Scratch, aims to guide users through the process of building a GPT-like large language model (LLM) using PyTorch. It is designed for developers and machine learning enthusiasts who want to understand the intricacies of LLMs and gain hands-on experience in creating one from the ground up.
Key Features:
- Step-by-Step Guidance: Detailed instructions on how to implement each component of the model.
- Hands-On Learning: Practical coding examples to reinforce learning.
- Use of PyTorch: Leverage the power of PyTorch for building and training the model.
- Focus on GPT Architecture: Understand the architecture and functioning of GPT models.
Use Cases:
- Educational Purposes: Ideal for students and professionals looking to deepen their understanding of natural language processing.
- Research and Development: Useful for researchers aiming to experiment with LLMs and their applications in various fields.