Serverless RL: Faster, Cheaper and More Flexible RL Training(openpipe.ai)
openpipe.ai
Serverless RL: Faster, Cheaper and More Flexible RL Training
https://openpipe.ai/blog/serverless-rl
3 comments
Interesting post. Did the difference in wall clock training time take the reduction in cold start time into account? Seems like that could be a significant factor for small jobs and negligible for large ones.
Will the rate limits go higher? How about other models? Qwen 2.5 is nice but 3 is nicer
higher abstraction than Tinker, more flexible than OpenAI RFT. i like integration to production inference, so i can switch between training and inference for continuous learning.