Viewing profile — qmatch

Did you try asking it that? The example in the video was beyond what the typical apps provide (pulling race data from the BAA, adding temperature data from other sources Claude is …

Did you use Cursor with Gemini and GPT?

I personally believe TF1 was serving the need of its core users. It provided a compileable compute graph with autodiff, and you got very efficient training and inference from it. T…

As a loyal JAX user, I hope they can play catchup. PyTorch has dominated the AI scene since TF1 fumbled the ball at 10th yard line. What Matt Johnson has done turning Autograd into…

I see your point, but not totally buying it. The US innovates for a global population, one that’s still growing. The best way to infer causality is through experimentation. If regu…

How are so confident in causality here?

Similarly curious if anyone has an API, that they ultimately subsidize through some other service or product.

M, N, O, P, …

Need to read the details, but removing the norm can be big. It’s always a pain to make sure that your network is normalized properly when trying new architectures. Likely there wil…

This is awesome—nice job! It was so cool to see when I started running and what year I started to get injured :/

What did the line represent? It’s always surprising how predictable it is to estimate people’s race times given what you know about their fitness. That said, about 10% of the time …

Try adjusting the slider! Gives us hope.

Is this similar to the Universal Approximator Theorem?

Google stopped providing predictions about 9 years ago. https://en.m.wikipedia.org/wiki/Google_Flu_Trends#:~:text=wi... .

A nice simple walkthrough in this post, but would be nice if it was updated to show how to do this with sharding and the new jax.Array type introduced not too long ago https://gith…

Link to paper: https://arxiv.org/abs/2302.05444

From Google. We did most of our studies on tabular data, which has been a less studied area in SSL.