Helen Jackson @netdove
Physicist, Machine learning. public speaker District of Columbia, USA Joined April 2009-
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One question I’ve received a few times, and would like to clarify about this work (causalai.net/r115.pdf), is: why do we need identification and the ctf-calculus? Isn’t the do-calculus enough? The answer to the first question is that identification is essential: estimating a…
One question I’ve received a few times, and would like to clarify about this work (causalai.net/r115.pdf), is: why do we need identification and the ctf-calculus? Isn’t the do-calculus enough? The answer to the first question is that identification is essential: estimating a…
🚨 BREAKING: IBM launches a free Python library that converts ANY document to data Introducing Docling. Here's what you need to know: 🧵
@jxmnop The paper behind it: Title: Neural Tangent Kernel: Convergence and Generalization in Neural Networks Scientists have been trying to understand how artificial neural networks, which are like simplified brains made of math, learn and get good at tasks. When these networks are…
🧵 1/8 The Illusion of Thinking: Are reasoning models like o1/o3, DeepSeek-R1, and Claude 3.7 Sonnet really "thinking"? 🤔 Or are they just throwing more compute towards pattern matching? The new Large Reasoning Models (LRMs) show promising gains on math and coding benchmarks,…
Learn the Basic Fundamentals of Pytorch
RETWEET if you stand with President Zelensky!
RETWEET if you stand with President Zelenskyy against Trump and Vance!
Trump is out here trying to blame Black people and women for a plane crash that happened *after* he announced a DEI purge of the FAA
Mathematicians Prove Hawking Wrong About the Most Extreme Black Holes quantamagazine.org/mathematicians… via @QuantaMagazine
Astronomers spot 18 black holes gobbling up nearby stars: The detections more than double the number of known tidal disruption events in the nearby universe. mitsha.re/qWUg50QZG1J
@bboczeng The retina already does much of that. We have 100 million photoreceptors in the retina that get compressed 100:1 to squeeze the information down to fit on 1 million optic nerve fibers.
* Language is low bandwidth: less than 12 bytes/second. A person can read 270 words/minutes, or 4.5 words/second, which is 12 bytes/s (assuming 2 bytes per token and 0.75 words per token). A modern LLM is typically trained with 1x10^13 two-byte tokens, which is 2x10^13 bytes.…
* Language is low bandwidth: less than 12 bytes/second. A person can read 270 words/minutes, or 4.5 words/second, which is 12 bytes/s (assuming 2 bytes per token and 0.75 words per token). A modern LLM is typically trained with 1x10^13 two-byte tokens, which is 2x10^13 bytes.…
"But why is the transformer architecture designed as it is?" I came across an intriguing discussion this morning and wanted to share my perspective. I believe that transformers and multi-head self-attention were directly inspired by Bahdanau attention from 2014. RNNs had…
Rensselaer Polytechnic Institute becomes first university in the world to receive an IBM Quantum System One cbs6albany.com/renderer/cbs6a…
LLMs’ sensitivity to design decisions, such as template choice, can degrade performance & prevent their robust application. Introducing Batch Calibration, a simple method that mitigates this effect & improves on existing methods w/ negligible add’l cost → goo.gle/45wlYj0
The world of LLMs is moving so fast! Mistral AI has announced their first 7B model which achieves performance comparable to 13B Llama2! 💥 Good news, you can already finetune the new model using AutoTrain Advanced on your own custom dataset! 🚀 P.S. also works on Google Colab ;)
RGD, a new variant of the stochastic gradient descent algorithm, re-weights data points during each optimization step based on their difficulty. Learn how this reweighting algorithm can boost performance on unseen data across various learning tasks → goo.gle/3ZxkEuN
CoTracker can track every pixel in a video, points sampled on a regular grid on any video frame or manually selected points. In our testing it compares favorably against state-of-the-art point tracking methods in both efficiency & accuracy. Code ➡️ bit.ly/3KZoLcQ
New on @huggingface — CoTracker simultaneously tracks the movement of multiple points in videos using a flexible design based on a transformer network — it models correlation of the points in time via specialized attention layers. 🤗 Try CoTracker ➡️ bit.ly/3swQFqt
It's only a matter of time before A.I. chatbots are teaching in primary schools nbcwashington.com/news/business/…
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