AIOps: Distributed Training
AIOps: Distributed Training
Released: Jun 06, 2025
Duration: 17m 17s | .MP4 1920x1080, 30 fps(r) | AAC, 48000 Hz, 2ch | 52 MB
Genre: eLearning | Language: English
Released: Jun 06, 2025
Duration: 17m 17s | .MP4 1920x1080, 30 fps(r) | AAC, 48000 Hz, 2ch | 52 MB
Genre: eLearning | Language: English
Fine tuning a GenAI model can take a significant amount of time. This course will teach you how to use the Anyscale platform, and the open source software, Ray, to better use compute resources and significantly reduce training time.
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.
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