What you'll learn

The process of fine tuning a generative AI model can take a lot of compute power, depending on the amount of data used in the fine tuning process, and this can cause the process to take a significant amount of time. In this course, AIOps: Distributed Training, you’ll learn to use Anyscale and Ray to manage compute resources and distribute training over multiple nodes. First, you’ll explore Anyscale. Next, you’ll discover how to use parallelism to significantly reduce fine tuning time. Finally, you’ll learn how to fine tune a GenAI model, using Anyscale. When you’re finished with this course, you’ll have the skills and knowledge of distributed training needed to fine tune a model quickly.