You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Absolute banger podcast on using LLMs day-to-day: [Pragmatic LLM usage with Nicholas Carlini / Oxide](https://oxide.computer/podcasts/oxide-and-friends/2038761). The [blog post](https://nicholas.carlini.com/writing/2024/how-i-use-ai.html) accompanying this is a great read as well.
One more chapter of [Why Machines Learn: The Elegant Math Behind Modern AI , Ananthaswamy, Anil - Amazon.com](https://www.amazon.com/Why-Machines-Learn-Elegant-Behind-ebook/dp/B0CF1223R8). This chapter contained a great explanation of a perceptron
One more chapter of [Why Machines Learn: The Elegant Math Behind Modern AI , Ananthaswamy, Anil - Amazon.com](https://www.amazon.com/Why-Machines-Learn-Elegant-Behind-ebook/dp/B0CF1223R8). This chapter contained a great explanation of a perceptron and its representation in terms of vectors and matrices. I skipped the mathematical coda for now. Will tackle that some other day.
