Building Custom LLMs Online Course

Building Custom LLMs Online Course

This masterclass, led by Maxime Labonne, Dennis Rothman, and Abi Aryan, offers comprehensive guidance on developing enterprise-grade LLMs for real-world applications. You’ll learn to make key architectural decisions, choose the right models, configure hyperparameters, and curate high-quality training data. The course covers pre-training, fine-tuning, model evaluation, and strategies to productionize and monitor LLMs effectively. By the end, you’ll gain hands-on skills to build, refine, and deploy large language models, empowering you to create generative AI solutions that address complex organizational challenges.

Who should take this course?

This course is ideal for AI developers, data scientists, and machine learning enthusiasts who want to design, train, and deploy custom large language models (LLMs). It’s also suitable for researchers and professionals seeking hands-on experience in creating specialized AI models for real-world applications.

What you will learn

• How to select the right LLM architecture for your use case
• Approaches for sourcing, cleaning, and labeling quality training data
• Pre-training methods and hyperparameter optimization
• Advanced fine-tuning techniques to boost performance
• Ways to thoroughly evaluate LLMs before deployment
• Best practices for monitoring, updating, and maintaining production LLMs

Course Outline

LLMs Under the Hood

• Opening Keynote: Demystifying LLMs – Building, Engineering, and Deploying
• Architecting LLMs - Text Generation, Code Interpretation, and More
• Modeling LLMs: Input Data, Pre-Training, Fine-Tuning, and Model Evaluation
• Productionizing LLMs - Prepare for Production