Introducing💃AdANNS: A Framework for Adaptive Semantic Search🕺
TL;DR: Up to 90× faster nearest neighbor retrieval and 2× lower memory cost for web-scale search.
Applies to vector search at scale & improves all "retrieval" augmented models!
https://t.co/yEnrr4oCwa
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The Open Geospatial Software (opengeos) GitHub organization is up and running! I have transferred 23 open-source #geospatial projects from my personal GitHub account to this org. We always welcome new contributors and collaborators. 👇
GitHub: https://t.co/pUJ5bSuz9f
Two questions for you...
1. Can I put together inspiring content for an informative & interactive virtual *storytelling with data* mini-workshop that is streamed live & open/free to everyone around the world by next week?
2. If I were to do so, would you attend?
There's a lot of folks under the misunderstanding that it's now possible to run a 30B param LLM in <6GB, based on this GitHub discussion.
This is not the case. Understanding why gives us a chance to learn a lot of interesting stuff! 🧵
https://t.co/9xOfNyLUFr
"Jax" is a python library for numerical computing, machine learning and is really faster than Numpy 🚀
Here is why you should care about Jax and its really powerful features in Machine Learning:🧵
Is training deep neural nets from scratch about to become obsolete? Recent research indicates that the answer might be yes. Here's why...
📰: https://t.co/KRWOXcoxC9
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Learning Performance-Improving Code Edits
Allows CODEGEN to match the performance of 10x bigger CODEX on the task of suggesing functionally correct, performance improving code edits.
proj: https://t.co/aYNOWIEqFd
abs: https://t.co/CzarPSXKGX
I made an interactive map showing every single block in Seattle where you can live within walking distance of daily necessities:
https://t.co/2cs5RDF4kR
Prediction intervals for machine learning models.
MAPIE works with any scikit-learn model & is a big improvement over basic methods that only gave constant interval widths. Based on conformal prediction. Awesome library. https://t.co/NGZJaA79I6
The island of real images is a metaphor to help you visualize how Stable Diffusion works.
Let the U-NET guide you in this journey from the sea of noise to the peak of sharpness at https://t.co/ztx4yOpAZJ
11 ways ChatGPT saves me hours of work every day, and why you'll never outcompete those who use AI effectively.
A list for those who write code:
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Processing images in transformers just became 100x better.
Since 4.25, we've been working on a new class: ImageProcessor.
Here's everything you need to know 👇 🧵 1/
Neural Radiance Fields (NeRFs) are one of the most notable deep learning-based approaches that can learn and generate photorealistic renderings of 3D environments. Here are the 5 main ideas/components that make NeRFs so effective... 🧵 [1/10]
Once in a while, I stumble upon some nice little feature in the @PyTorch library that I haven't seen before.
Have you tried AutoAugment, yet?
Just gave it a try: takes a few epochs, but that's a 10% accuracy improvement in this simple example case
https://t.co/yo3LUeFbf1