Large Language Models explained briefly
Timestamps:0:00 – Who this was made for0:41 – What are large language models?7:48 – Where to learn more
Backpropagation calculus | DL4
This one is a bit more symbol-heavy, and that’s actually the point. The goal here is to represent in somewhat more formal terms the intuition for how backpropagation works in part 3 of the series, hopefully providing some connection between that video and other texts/code that you come across later. For more on backpropagation:http://neuralnetworksanddeeplearning….https://github.com/mnielsen/neural-ne…http://colah.github.io/posts/2015-08-… https://colah.github.io/posts/2015-08-Backprop
Backpropagation, step-by-step | DL3
The following video is sort of an appendix to this one. The main goal with the follow-on video is to show the connection between the visual walkthrough here, and the representation of these “nudges” in terms of partial derivatives that you will find when reading about backpropagation in other resources, like Michael Nielsen’s book or…
Gradient descent, how neural networks learn | DL2
To learn more, I highly recommend the book by Michael Nielsenhttp://neuralnetworksanddeeplearning….The book walks through the code behind the example in these videos, which you can find here:https://github.com/mnielsen/neural-ne… MNIST database:http://yann.lecun.com/exdb/mnist/ Also check out Chris Olah’s blog:http://colah.github.io/His post on Neural networks and topology is particular beautiful, but honestly all of the stuff there is great. And if…
But what is a neural network? | Deep learning chapter 1
What are the neurons, why are there layers, and what is the math underlying it? Typo correction: At 14 minutes 45 seconds, the last index on the bias vector is n, when it’s supposed to in fact be a k. Thanks for the sharp eyes that caught that! There are two neat things about this…
Leadership in the Age of AI | Paul Hudson and Lindsay Levin | TED
Leaders can’t be afraid to disrupt the status quo, says pharmaceutical CEO Paul Hudson. In conversation with TED’s Lindsay Levin, he shares how AI eliminates “unglamorous work” and speeds up operations while collaborations across competitors can dramatically boost sustainability. Hear some powerful advice for the modern leader — and learn why it’s time for businesses…
Can AI Master the Art of Humor? | Bob Mankoff | TED
Can artificial intelligence be funny, or is comedy a uniquely human trait? In this witty and insightful talk, cartoonist Bob Mankoff explores the art of humor, the evolution of AI and what happens when the two collide. (Recorded at TEDxUofM on Feburary 9, 2024)
20241108 The Princeton-Yale Ideas Series: AI Snake Oil
Confused about AI and worried about what it means for your future and the future of the world? You’re not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor, who are recognized by Time magazine as two of…
AI Is Dangerous, but Not for the Reasons You Think | Sasha Luccioni | TED
AI won’t kill us all — but that doesn’t make it trustworthy. Instead of getting distracted by future existential risks, AI ethics researcher Sasha Luccioni thinks we need to focus on the technology’s current negative impacts, like emitting carbon, infringing copyrights and spreading biased information. She offers practical solutions to regulate our AI-filled future —…...
IISc-IBM AI Workshop | 04th Dec 2024 | Session 1 (9:30 am – 11:00 am)
Dec 3, 2024One-day workshop on topics in Generative AI IISc-IBM AI Day is being jointly organized by the Centre for Networked Intelligence (with support from Cisco CSR) and IBM-IISc Hybrid Cloud Lab, in collaboration with IBM India Research Lab. The goal of this workshop would be to apprise the audience of Generative AI, a set…
