[Live] ScaleML Series Day 2 — Efficient & Effective Long-Context Modeling for Large Language Models @GPUMODE
[Live] ScaleML Series Day 2 — Efficient & Effective Long-Context Modeling for Large Language Models  @GPUMODE
Uploaded August 2025 | Updated September 2026, 1 hour ago
Day 2: Efficient & Effective Long-Context Modeling for Large Language Models by Guangxuan Xiao.

Full Schedule: 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.
[Live] ScaleML Series Day 2 — Efficient & Effective Long-Context Modeling for Large Language ModelsLecture 95: Single controller programming with MonarchLecture 92: Smol Training PlaybookLecture 49: Low Bit Metal KernelsLive PCCL Fault tolerant collectivesLecture 74: [ScaleML Series] Positional Encodings and PaTH AttentionDistributed ML on consumer devicesLecture 60: Optimizing Linear AttentionLecture 8: CUDA Performance ChecklistLecture 16: On Hands ProfilingLecture 17: NCCLLecture 96: TLX
GPU MODE |

[Live] ScaleML Series Day 2 — Efficient & Effective Long-Context Modeling for Large Language Models

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