[D] How Do Leading AI Research Organizations Like OpenAI, Google, and Meta Track and Manage Their Large Scale AI Experiments?

I'm really interested in learning about the tools and techniques that researchers at OpenAI, Google, and Meta use to keep track of their AI experiments. This includes how they manage things like different versions of AI models and the various tests they run on them. I'd love to know what specific tools they use for these tasks. Also, it would be great to understand if there are any recommended approaches or best practices they follow to organize and handle these …

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