Uploaded October 2024 | Updated September 2026, 4 hours ago
Thien Tran discussed quantized training including low bit optimizers and full int8 precision training in torchao
Slides and notebook available here github.com/gpu-mode/lectures/tree/main/lecture_030
Thien Tran discussed quantized training including low bit optimizers and full int8 precision training in torchao
Slides and notebook available here github.com/gpu-mode/lectures/tree/main/lecture_030
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Speakers: William Brandon (Anthropic) and Simran Arora (ThunderKittens)
Full Schedule: https://scale-ml.org/bootcamp/
The GPU MODE x Scale ML speaker series is a 5-day, online event hosted on the GPU MODE YouTube channel where top researchers in AI will talk about various architectural and system-level advances that are integrated into OpenAI’s frontier open-source model, GPT-OSS.
Each day will consist of ~2 hours of talks and discussions (around noon PST, may start at slightly different times each day so please check frequently), covering a different component of the evolving transformer stack—from quirks in the attention mechanism and positional encodings to quantization, MoEs, and custom GPU kernels.")
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Speaker: Guangxuan Xiao (PhD at MIT)
Full Schedule: https://scale-ml.org/bootcamp/
The GPU MODE x Scale ML speaker series is a 5-day, online event hosted on the GPU MODE YouTube channel where top researchers in AI will talk about various architectural and system-level advances that are integrated into OpenAI’s frontier open-source model, GPT-OSS.
Each day will consist of ~2 hours of talks and discussions, covering a different component of the evolving transformer stack—from quirks in the attention mechanism and positional encodings to quantization, MoEs, and custom GPU kernels.")
