Introduction to LLM Course
This GitHub repository provides a comprehensive course to help learners familiarize themselves with Large Language Models (LLMs). The course is structured into three main parts: LLM Fundamentals, The LLM Scientist, and The LLM Engineer. Each part includes essential topics and hands-on exercises designed to cover a wide range of knowledge in LLMs, from the mathematics and programming language foundations to advanced topics like model training, evaluation, and deployment.
Key Features
- Structured Learning: The course divides content into three segments, making complex topics easier to digest.
- Practical Notebooks: Utilizes Google Colab notebooks for hands-on experience.
- Comprehensive Resources: A plethora of resources and references are provided for deeper understanding.
- Updated Techniques: Covers both traditional and modern techniques in LLMs focusing on real-world applications.
- Community Support: Engage with contributors through GitHub to enhance learning and seek help.
