Introduction to RE-GPT
The RE-GPT project is designed to take you on a comprehensive journey into the inner workings of the Generative Pre-trained Transformer (GPT) model. Drawing inspiration from Andrej Karpathy’s iconic lecture, "Let’s Build GPT: From Scratch, in Code, Spelled Out", this project aims to demystify the architecture of GPT and provide a step-by-step guide to constructing a GPT model from the ground up.
Key Features:
- Hands-on Coding: Engage in practical coding exercises that illustrate the mechanics of GPT.
- Architecture Breakdown: Understand the underlying architecture of GPT, including its layers and components.
- Step-by-Step Guidance: Follow a structured approach to building the model, making it accessible for learners at all levels.
Use Cases:
- Educational Resource: Ideal for students and developers looking to deepen their understanding of AI and machine learning.
- Prototype Development: Use the insights gained to create prototypes or applications based on GPT technology.
- Research Foundation: Serve as a foundational project for further research in natural language processing and AI development.