Survey on Large Scale Neural Network Training
A nice summary of strategies and insights on large scale neural network training. Great read for ML engineers interested in training efficient DNNs.
https://t.co/J9gIzACLsi
The Low-Carbon Patent Pledge, a joint commitment among @HPE, @Facebook and @Microsoft, is a response to warnings from the scientific community that breakthrough technologies will be vital to cutting emissions fast enough to avert climate disaster.
@bhutanisanyam1 maybe add some 'pull' exercises like chinups/pullups (assisted ones if you aren't used to them) or bodyweight rows
this will ensure that you don't develop muscle imbalances (i.e. rounded shoulders) and improper posture
@omarsar0 The course format is awesome.
I had simply bookmarked this website to re-visit at some point later in the future(?). But fortunately I checked out the walk-through video https://t.co/AfL2tyNrDC and damn!
Don't miss this if you want to learn math by doing math.
@deepth_dinesan @quantumVerd Isn't that the reason why AWS/GCP/Azure instances are popular? Not everyone, especially businesses trying AI for the first time, needs to invest in a dense server like A100.
The number of floating-point operations used to train GPT-3 is 3 * 10^23, which is roughly half of Avogadro's constant.
Yes, training times can now be measured in *moles*.
There are some nightmares you can’t wake up from.
There are some moments in your life that get burned into your psyche with such terrible clarity.
When he’s diagnosed with COVID-19 it barely registers in his brain.
It’s his mom testing positive later that crushes him. 16/