Each module is a self-contained Kaggle notebook. Work through them in order — each one builds on the last. modules/ ├── 00_setup_and_profiling/ ← Start here. Verify your environment. ├── ...
DeepSpeed offers a collection of system technologies, that has made it possible to train models at these scales. The best technology to train your large model depends on various factors such as the ...
As hardware designers turn toward multicore processors to improve computing power, software programmers must find new programming strategies that harness the power of parallel computing. One technique ...
Abstract: Transformer-based foundation models are becoming deeper and larger. For fast training, their billions of parameters (tensors) are split onto parallel tasks running on many modern yet ...
Abstract: With the rapid adoption of large language models (LLMs) in recommendation systems, the computational and communication bottlenecks caused by their massive parameter sizes and large data ...
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