Introduction to KGPT
KGPT is a custom Generative Pre-trained Transformer (GPT) model designed to enhance AI education and facilitate the reverse engineering of GPT models from scratch. Built on the principles outlined in the Zero To Hero framework, KGPT utilizes the tiktoken library to manage tokenization effectively. This tool is ideal for educators, developers, and AI enthusiasts looking to deepen their understanding of transformer models and their applications in real-world scenarios.
Key Features:
- Customizable Architecture: Tailor the model's architecture to fit specific educational needs or research objectives.
- Token Management: Leverage the tiktoken library for efficient tokenization, ensuring optimal performance during training and inference.
- Educational Resource: Serve as a comprehensive resource for learning about AI transformers, making it suitable for both beginners and advanced users.
- Reverse Engineering: Gain insights into the inner workings of GPT models, enabling users to replicate and innovate on existing technologies.
Use Cases:
- AI Education: Use KGPT as a teaching tool in academic settings to illustrate the principles of AI and machine learning.
- Research and Development: Facilitate research projects focused on AI model development and optimization.
- Hands-on Learning: Provide a practical platform for users to experiment with and understand transformer models in a controlled environment.