Manning – Master and Build Large Language Models

Master and Build Large Language Models. This course helps participants become a professional modeler by learning the concepts and building a large language model. This course teaches the best way to understand large language models (LLMs) by building them. Led by experienced AI researcher Sebastian Raschka, participants will learn the inner workings of these models. In this course, you will learn how to code all the parts of an LLM, prepare a suitable dataset, fine-tune the model for text classification, use human feedback, and load pre-trained weights. This course is designed for software engineers, data scientists, and machine learning researchers who plan to build or adapt LLMs. It also includes six prerequisite videos by AI expert Abhinav Kimothy that cover Python basics, vector mathematics, PyTorch essentials, neural networks, and deep learning building blocks. These videos cover setting up a Python environment, mastering basic concepts, understanding the mathematics of AI, learning PyTorch operations, and the basics of neural networks. This comprehensive course ensures that participants, regardless of their initial knowledge level, will succeed in building large language models.