Passionate about the big questions & challenges around ai & ml while caffeinated, enjoying life with my family & on the search for strong winds out of the North
1/ Today in Science, we train a neural net from scratch through the eyes and ears of one child. The model learns to map words to visual referents, showing how grounded language learning from just one child's perspective is possible with today's AI tools. https://t.co/hPZiiQt6Vv
I just uploaded a 90 minute tutorial, which is designed to be the one place I point coders at when they ask "hey, tell me everything I need to know about LLMs!"
It starts at the basics: the 3-step pre-training / fine-tuning / classifier ULMFiT approach used in all modern LLMs.
Two young mathematicians have provided a complete proof of the Kahn-Kalai conjecture in a surprisingly short preprint, automatically proving hundreds of related statements about key structures in mathematics. https://t.co/9wQHEa1X7M
Wow! @npr giving Barr the microphone to tell the US public that January 6 was not an example of the right-ideology trying to tear down Democratic institutions, and that he didn’t think the mob wanted to hang mike pence … & #NPR not pushing back at all!
@cesifoti of institutions. Your work & achievements are and have been an inspiration for people of many backgrounds including me. I look at your work and your contributions as a guide & as a model.This is a already part of your legacy in this place in time. Never stop being your true self.
Want to read an insane tenure denial story? I was denied tenure at MIT in 2018. I was the only Hispanic faculty at my department, had 13k+ citations, 2 books, & papers in Nature, Science, & PNAS. I was never given a reason & the only letter I got told me to check the website./1🧵
Behind the scenes on the Fast Random Projection algorithm for generating graph embeddings | by CJ Sullivan | Towards Data Science https://t.co/rG0SlW9R9q