Sujay S Kumar - Training Large Deep Learning Models: PyTorch vs JAX
Автор: AI in Production
Загружено: 2024-08-20
Просмотров: 747
Описание:
As software developers tasked with building and deploying AI products into production, the first and foremost decision we need to make is the choice of framework for training our deep learning models. This decision has far reaching consequences as it is almost impossible to switch the frameworks once the development and research team has traction. Hence, it is imperative for software developers starting on AI/ML projects crucial to their business and careers to be aware of the common pros and cons of each training framework and pick the best one suited to their needs. In this talk I delve deeper into these tradeoffs so that the participants can make an informed decision for their use cases. While there are (only) 2 major frameworks that are widely adopted in the industry, PyTorch and JAX differ widely in their core basic philosophies.
Video production by TheMattFinish.com
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