@MParakhin I like to use Codex with 5.4 xhigh on an empty directory to do these kind of conversations also. Feels like there I have more control over the reasoning effort and having access to some sort of file based memory (ie. writing to md files) can sometimes help.
@jxmnop What’s your approach to multi-modal embeddings where you can’t pick pairs of documents/snippets for contrastive losses, but only see partial representations of the same object in different data types?
One step closer to watching a highlight reel of my dreams after waking up and forgetting all of them...
On a more serious note: Some scepticism is in order with this size of a dataset, but very interesting problem and results nonetheless.
Our paper got accepted at #CVPR2023!
(w/ @yu_takagi)
We modeled the relationship between human brain activity (early/semantic areas) and Stable Diffusion's latent representations and decoded perceptual contents from brain activity ("brain2image").
https://t.co/Sbwf4PhPWD
Hi friends! After 4+ years, my time at Lyft has unfortunately come to an end. If you or anyone you know is hiring iOS developers, an intro would be appreciated. 💛
Last year we presented #AlphaFold v2 which predicts 3D structures of proteins down to atomic accuracy. Today we’re proud to share the methods in @Nature w/open source code. Excited to see the research this enables. More very soon!
https://t.co/6uiV51Xly5
https://t.co/CLo7EKubBT
Does anyone of my Twitter bubble work in (or know someone who works in) Smart Farming? I’m currently working on a research project in the field and would like to talk to some insiders 👩🌾
Does anyone of my Twitter bubble work in (or know someone who works in) Smart Farming? I’m currently working on a research project in the field and would like to talk to some insiders 👩🌾
“artificial neural network that can […] identify objects at the speed of light” super promising 3D-printed DNNs give a whole new meaning to the word ‘filter’ in ML https://t.co/yNK8bGRD18
https://t.co/WSrj11RWQ2 some great examples by @abidlabs why ML engineers and researchers should run some sort of “Integration tests” of their models to test for robustness or at least document accepted inputs