Ultimate Guide to Scaling ML Models - Megatron-LM - ZeRO - DeepSpeed - Mixed Precision

Ultimate Guide to Scaling ML Models - Megatron-LM - ZeRO - DeepSpeed - Mixed Precision

Dive into an extensive video tutorial on scaling machine learning models to trillions of parameters. Explore fundamental concepts behind major ML models like Meta's OPT-175B, BigScience BLOOM 176B, and OpenAI's GPT-3. Learn about data parallelism, model/pipeline parallelism, model/tensor parallelism (Megatron-LM), activation checkpointing, mixed precision training, and ZeRO (zero redundancy optimizer) from Microsoft's DeepSpeed library. Gain insights into various parallelism techniques, number formats, loss scaling, and memory management strategies essential for training large-scale ML models.