Efficiently Scale LLM Training Across a Large GPU Cluster with Alpa and Ray
TLDRRecent years have seen a proliferation of large language models (LLMs) that extend beyond traditional language tasks to generative AI. This includes models like ChatGPT and Stable Diffusion. Alpa and Ray work together to achieve the scale required to train a 175 billion-parameter JAX transformer model with pipeline parallelism.
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Table of contents
Overview of large language modelsArchitecture overviewIntroduction to AlpaIntroduction to RayAlpa on Ray benchmark resultsSummaryBe the first to comment.