Ray, the popular open-source machine learning (ML) framework, has released its 2.2 version with improved performance and observability capabilities, as well as features that can help to enable reproducibility.

Source: LXer – Open source Ray 2.2 boosts machine learning observability to help scale services like OpenAI’s ChatGPT