Learn about RL and data at this meetup!
We're hosting an RL / data / SkyRL meetup with @mercor and @harborframework next Thursday in SF. Come join us!View quoted post on X
luma.com/rl-data
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A distributed compute framework for scaling AI workloads. Created and developed by @anyscalecompute.
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Day-0 RL support for Le Chonk in SkyRL.
We have Day-0 RL support for Le Chonk on SkyRL, with LoRA training on FSDP or Megatron, courtesy of @AoShen98662303 and the @vllm_project team!View quoted post on X
If you want to learn about SkyRL, this is the place to do it.
If you want to learn more about reinforcement learning for post-training, check out this webinar. We're coveringView quoted post on X
- How the underlying algorithms work (e.g., RLVR with GRPO)
- Recent research advances (on-policy distillation (OPD), multi-teacher on-policy distillation (MOPD))
- Details of post-training a terminal agent (building evals, building custom environments, RL systems)
- SkyRL deep dive (async RL, performance monitoring, tuning for RL rollouts)
anyscale.com/events/2026/11…
How @Snowflake uses Ray Data to increase batch inference throughput by 6.5x. snowflake.com/en/blog/engine…
www.snowflake.com Batch Inference Performance: Cross-Platform Comparison See how Snowflake Batch Inference Jobs deliver up to 6.5x higher throughput and up to 5.8x lower compute costs in our benchmarks compared to Databricks and cloud providers. Great description of a world model data pipeline. reka.ai/labs/research/…
reka.ai World Model Data Pipeline A behind-the-scenes look at how Reka Labs prepares petabytes of video and image data for training our omni world models — from sourcing through deployment. Built on Ray on Kubernetes @anyscalecompute 🙌View quoted post on X
