Machine Learning frameworks have gone through various transitions over the years. The "mainstream" ML framework has changed in identity ever 5 years. In this talk, we first recap ML frameworks through the lens of a few variables and factors. We then subsequently project the future for ML frameworks as a distribution over these variables. Lastly, I sample a few ideas of how the future might look like based on some general bets.

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