Obligatory: the views and opinions expressed in this post are my own and do not represent the views and opinions of my employer. In light of all the hype going around about ChatGPT, I wanted to offer my “hot take” on what the next 2-5 years of the web look like. One aspect of the…
I’m going to take a stab at nailing down what I believe to be the five fundamental components of a deep neural network. I think there’s value in understanding complex systems at a simple, piecewise level. If you’re new to the field, I hope that these understandings I’ve built up over the last few years…
Since joining OpenAI, I’ve had the distinct pleasure of interacting with some of the smartest people on the planet on the subject of generative models. In these conversations, I am often struck by how many different ways there are to “understand” how diffusion works. I don’t think most folk’s understanding of this paradigm is “right”…
I’ve been meaning to write this for a couple of months now, but simply haven’t found the time. Life has gotten quite busy for me lately, and I hope to explain why. First, the elephant in the room – I have left Google and finally stepped into the ML industry. I’ve accepted a position as…
In machine learning research, there is often a stated desire to build “end to end” training pipelines, where all of the models cohesively learn from a single training objective. In the past, it has been demonstrated that such models perform better than ones which are trained from multiple components, each with their own loss. The…
Lab notes is a way for me to openly blog about the things I am building. I intend to talk about things I am building and the methods I plan to use to build them. Everything written here should be treated with a healthy amount of skepticism. I’ve been researching something this week that shows…
Lab notes is a way for me to openly blog about the things I am building. I intend to talk about things I am building and the methods I plan to use to build them. Everything written here should be treated with a healthy amount of skepticism. I wanted to write about something I built…
A lot of people have asked about the computers I used to train TorToiSe. I’ve been meaning to snap some pictures, but it’s never “convenient” to turn these servers off so I keep procrastinating. We had some severe thunderstorms today here in the front range which forced me to shut down my servers. I took…
For my next project, I want to play around in the music generation space. I think it’ll be interesting to apply some of the lessons learned building Tortoise to music. The first step is building the musical equivalent of a vocoder: a model that will transform a MEL spectrogram to waveform data. That way the…
Overview TorToiSe is a text-to-speech (TTS) program which can mimic voices given 2-4 examples. It is composed of five separately-trained neural networks that are pipelined together to produce the final output. This document will first go into details about each of the five models that make up Tortoise, and will wrap up with a system-level…