Uploaded January 2026 | Updated September 2026, 12 hours ago
Thanks for joining the "Mini RL conference"
We have published all materials: github.com/meta-pytorch/OpenEnv/tree/main/gpu-mode-tutorial
Checkout Unsloth: github.com/unslothai/unsloth
TRL: github.com/huggingface/trl
Example Colab: colab.research.google.com/github/unslothai/notebooks/blob/main/nb/OpenEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.ipynb
Thanks for joining the "Mini RL conference"
We have published all materials: github.com/meta-pytorch/OpenEnv/tree/main/gpu-mode-tutorial
Checkout Unsloth: github.com/unslothai/unsloth
TRL: github.com/huggingface/trl
Example Colab: colab.research.google.com/github/unslothai/notebooks/blob/main/nb/OpenEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.ipynb
![[Live] ScaleML Series Day 3 — Quantization in Large Models](https://i.ytimg.com/vi/k8PcSGG249Y/mqdefault.jpg "[Live] ScaleML Series Day 3 — Quantization in Large Models
Day 3: Quantization in Large Models by Chris De Sa.
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.")
![[Live] ScaleML Series Day 4 — Positional Encodings and PaTH Attention](https://i.ytimg.com/vi/l6_fdwRvMPk/mqdefault.jpg "[Live] ScaleML Series Day 4 — Positional Encodings and PaTH Attention
Day 4: Positional Encodings and PaTH Attention by Songlin Yang.
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.")
