Model Parallelism Challenges

Discover the challenges of model parallelism in massive NLP models and how it has become a distributed systems problem due to hardware limitations. Andrew Feldman shares insights on the techniques used to train the largest models and the complexities involved, while highlighting the need for easier implementation and accessibility in the industry.