Introduction
The Reasoning from Scratch project is designed to help developers implement a reasoning language model (LLM) using PyTorch. This project provides a step-by-step guide to building a reasoning model from the ground up, making it accessible for both beginners and experienced developers.
Key Features:
- Step-by-Step Implementation: Detailed instructions on how to build a reasoning LLM from scratch.
- PyTorch Framework: Utilizes PyTorch, a popular deep learning framework, for model development.
- Educational Resource: Ideal for those looking to deepen their understanding of LLMs and reasoning processes.
Use Cases:
- Educational Purposes: Great for students and educators in AI and machine learning.
- Research and Development: Useful for researchers looking to explore new architectures in reasoning models.
- Practical Applications: Can be adapted for various applications in natural language processing and AI-driven reasoning tasks.