Cool work, have a look! Interesting to see they tie the "probability" of discrete representation to, well, the probability of the dataset : Variational Inference itself.
https://t.co/hLRamQ5X3n
WTF: Mind reading is here.
Researchers invented a new #AI method to convert brain signals into video. See the results for yourself
Published in Nature yesterday: https://t.co/K4gzZ7WlRw
What are the implications? Is this the biggest paper of 2023?
#CEBRA
Result: quality similar to Copilot at launch!
- Outperform every open code LLM that supports multiple programming languages
- Matches/outperforms Copilot at launch
- 40% pass@1 on HumanEval
Tracking through Containers and Occluders in the Wild
Proposes a model, called TCOW, that can segment objects in videos with a notion of object permanence.
proj: https://t.co/wu59XSFY8P
abs: https://t.co/OK0ksLHvWy
How to summarize a book without sending 100% of your tokens to a LLM
I tested out a fun method on "Into Thin Air" (~140K tokens)
The results were surprising good
Definitely enough to refine and keep working Here's a speed run though process:
ZipIt! Merging Models from Different Tasks without Training
Presents ZipIt!, a general method for merging two arbitrary models of the same architecture that incorporates two simple strategies.
https://t.co/zUZGY2tCpW
Today we are releasing a CLIP ViT-L/14 model with 79.2% zero-shot accuracy on ImageNet.
Our model outperforms OpenAI's CLIP by a large margin, and outperforms even bigger models (ViT-g/14) trained on LAION-2B
Check it out at https://t.co/yOEveLYl30!
Leaked Google document: “We Have No Moat, And Neither Does OpenAI”
The most interesting thing I've read recently about LLMs - a purportedly leaked document from a researcher at Google talking about the huge strategic impact open source models are having
https://t.co/q2lsjTHKGS
@ProfessorOge@HeatherGorr@MATLAB This paper on GradCAM and its application in XAI within an engineering context light on a state-of-the-art technique that enhances model interpretability and provides deeper insights into complex models. #XAI#engineering#AI#GradCAM
https://t.co/DZCtVRVNCm