ChatGPT2 Animator Adventure

I followed RaffK project to its completion and did much more feature development such as complete chat feature. I created a lot of Modern and screaming Future C++, it is sort of crazy. This ChatGPT2 animation experiment involved training chatgpt2 on scrolling Shakespeare 1000 times using SGD with a learn rate of 0.0002. After SGDContinue reading “ChatGPT2 Animator Adventure”

Golden Ticket Exploration

So, if we have made some network, initial state, not like this one: And we applied typical backpropagation training process using SGDx0.002, on MNIST, we could get an image somehow like this: This is an image of a trained Golden Ticket than I created which is not Dyson Hatching and I will describe later. WhatContinue reading “Golden Ticket Exploration”

Dyson Hatching Golden Ticket

Nick: so now it is time to make use of the voronoi diagram. To begin, I want to calculate the average slope of the edges of each cell ChatGPT: The slope of a line is typically calculated as the difference in the y-coordinates of two points divided by the difference in the x-coordinates of thoseContinue reading “Dyson Hatching Golden Ticket”

ChatGPT and Golden Ticket pt 3

ChatGPT: Yes, that’s correct. Once you have a Delaunay triangulation, generating the corresponding Voronoi diagram is relatively straightforward. In a Voronoi diagram, each cell consists of all the points that are closer to a particular site (i.e., an input point) than to any other. This makes the Voronoi cell the dual of the Delaunay triangle,Continue reading “ChatGPT and Golden Ticket pt 3”

Continuing gradient_descent with ChatGPT

Hello again, lets continue C++ roadmap. ChatGPT Hello again! Of course, I’d be happy to continue with the C++ roadmap. Let’s pick up where we left off. If you have any specific topics or questions you’d like to discuss, please let me know, and I’ll be glad to assist you. OK, I came up withContinue reading “Continuing gradient_descent with ChatGPT”