Meta's AI engineers were increasingly frustrated with slow build times and inefficient distribution processes hindering their productivity. The company has now outlined the solutions its engineers devised to maximise efficiency.

The workflows of Meta’s machine learning engineers consist of iteratively checking-out code, writing new algorithms, building models, packaging the output, and testing in Meta's remote execution environment. As ML models and the codebases behind Meta's...