Microsoft ... Stepping up its Game in ML?

Wow, wow, do not close yet! I am a big MS-hater myself.

Well, an outsider / legacy player in cutting edge tech / ML, looks like with a series of well-placed decisions it may earn its place under the ML sun?

Yes, you heard me right. I am big Microsoft hater, but Just check this out:

- https://github.com/microsoft/onnxjs
- https://github.com/microsoft/onnxruntime#binaries
- https://github.com/microsoft/DeepSpeed
- ... OpenAI deal is just for hype I guess, no-one takes OpenAI seriously, right? ( ͡° ͜ʖ ͡°)
- Also I recently used Azure datasets ... it was clunky compared to S3, but beggars cannot be choosers. Download speeds were slow, but their VScode-like desktop app was ok ... but some features just did not work

It used to be a standard narrative "TF = production". But I guess a more correct one would be "Google has invested billions in marketing and it has huge captive audience".

Lately I spent some time reading TF tutorials ... and they are so needlessly difficult - they fucking invent a protocol for everything! For what PyTorch hub achieves in 4 steps, TF hub requires you to read 10 markdown docs ... written in corporate language.

So, why is this important? Because proper competition makes everything shine brighter.

Why TF 2.0? Because PyTorch 1.0 ( ͡° ͜ʖ ͡°). Now it looks like Google and Nvidia have a new real competitors in ML inference market together with Intel (which afaik is losing in general, but that is another story).

Nice!

#deep_learning
#machine_learning
#rant