Creating a Large Language Model from Scratch is a practical guide that will teach you step-by-step how to create, train, and fine-tune large language models (LLMs). This course is designed to provide a comprehensive understanding of the entire LLM development process.
Course Overview
Throughout the course, you will explore the entire process from model design to pre-training on a general data corpus and fine-tuning for specific tasks. Each stage includes clear explanations, detailed diagrams, and practical examples to enhance your learning experience.
Key Learning Outcomes
- Plan and program all components of an LLM
- Prepare datasets effectively for model training
- Fine-tune LLM for tasks like text classification and application-specific data
- Utilize feedback mechanisms to enhance instruction execution
- Load and integrate pre-trained weights
Course Benefits
This guide will lead you through the inner workings of generative AI, enabling you to not only grasp how LLMs function but also learn techniques to adapt them. All examples provided in the course can be executed on a standard laptop without the need for specialized hardware.
About the Technology
Adhering to the principle "I cannot understand what I cannot build," this course will take you through the process of constructing a GPT-style LLM from scratch. You will start by designing a foundational model without relying on pre-built libraries, configuring it for tasks such as text classification, and ultimately creating a functional chatbot capable of following complex instructions.
About the Course Material
Building a Large Language Model from Scratch is an engaging, hands-on course on the basics of generative AI. The course integrates theoretical knowledge with practical development exercises, providing you with a profound understanding of LLMs' capabilities and limitations.
Target Audience
This course is ideally suited for individuals with an intermediate proficiency in Python and a foundational knowledge of machine learning. All models developed within the course are compatible with any modern laptop, and there is an option to use GPU support for enhanced performance.
