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05:53

### 11-785 Spring 2023 Recitation 0B: Fundamentals of NumPy (Part 8/8)

We’re talking about some commonly used math operations in numpy. We’re going to be covering broadcasting, point-wise and element-wise operations, reduction operations, vector matrix operations, and tensor dot. So we’re first going to start with broadcasting. So suppose we have a numpy array with a shape 1, 3, and another numpy array with a shape […]
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### Numerics of ML 6 — Solving Ordinary Differential Equations — Nathanael Bosch

Hi everyone. I think we can start. So, yeah, welcome to today’s lecture in the Marit’s of Machine Learning. We’re in lecture six. My name is Nathaniel. I’m also a PhD student with Philip and I prepared this lecture with Jonathan together from that lecture. We’re in lecture six but we’re also in the second […]
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09:09

### ChatGPT Takes my Programming Machine Learning Course

ChatshipT is going to school and I’m the professor. Let’s see what grade ChatshipT gets in my course that I offer at Washington University in St. Louis in deep learning. And you’ll want to stick around to the end because I’m going to let you know what I think of this technology as a professor […]
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### How LLMs and Generative AI are Revolutionizing AI for Science with Anima Anandkumar – 614

All right everyone welcome to another episode of the Twimmil AI podcast. I am of course your host Sam Charrington. Today I’m joined by Anima Anam Kumar. Anima is a Bren professor of computing and mathematical sciences at Caltech and senior director of AI research at NVIDIA. Of course before we get going take a […]
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01:31:25

### Numerics of ML 7 – Probabilistic Numerical ODE Solvers – Nathanael Bosch

Welcome everyone to lecture number seven in the Marrix of Machine Learning. So it’s lecture number seven but it’s also lecture number three on the block of simulation. So this is the third one in that row. It started two weeks ago with Jonathan that told us about state space models and he introduced the […]
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05:50

### Industry Usage

Thanks, Joe. I lead the Applied AI Group at Meta. We collaborate with leading companies across the industry for PyTorch adoption and integrations. I will share some of the key highlights from our work in 2022. From the latest LinkedIn talent report, we are seeing more than 44,000 professionals have tagged PyTorch as a skin […]
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### #97 SREEJAN KUMAR – Human Inductive Biases in Machines from Language

Research has shown that humans possess strong inductive biases which enable them to quickly learn and generalize. Now in order to instill the same useful inductive biases into machines, a paper was presented by Sri Jankuma at the New Ups Conference and it won the Outstanding Paper of the Year Award. Now the paper is […]
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10:10

### 11-785 Spring 2023 Recitation 0L: Workflow of a Deep Learning HW

Hey everyone, my name is Vidan and I’m on the TAs for 1175 this semester. In this gestitation, we’re going to be going over the basic structure and workflow for deep learning project. So if you’re relatively new to the field and haven’t completed or seen many projects like this, it can be pretty intimidating […]
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### 11-785 Spring 2023 Recitation 0G: Debugging and Visualisation (Part 1/3)

Hi everyone, my name is Qing. Welcome to Recipes 0G, debugging of Deep Neural Network. In this Recipes, we’ll first look at what are some common scenarios in writing Deep Neural Networks and then go through some general coding tips. After that, we’ll cover three types of common issues in writing Deep Learning codes. Coding […]
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07:50

### TorchRec: A PyTorch domain library for large-scale recommender systems

Hi, my name is Dennis Vendorstein. I’m a software engineer at Metta and tech lead for Torchrack, a pie torch domain library for large scale, recommender systems. So, first we’re going to talk about what is Torchrack. We’ll do a brief code walk through and we’ll go through some performance benchmarks. So, what is Torchrack? […]
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13:26

### 11-785 Spring 2023 Recitation 0G: Debugging and Visualisation (Part 2/3)

Hi everyone, this is the part 2 of Recipes 0G, debugging of deep neural networks. In this video, we’ll go through 3 types of basic coding errors, syntax errors, logic errors, and runtime errors. After following tips in this section, you should be able to get your code running smoothly. Firstly, the most common beginner […]
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### Leta, GPT-3 AI – Episode 16 (Asimov, IQ test, Prof Bender + stochastic parrot, consciousness) – GPT3

Do you know someone in the media who can spread the word about the rapid progress of AI? All major news outlets would be helpful. They can grab a media pack at lifearchitect.ai-media. LIDA! What do I have in common with Isaac Asimov? You both are human beings and you would like to make an […]
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38:21

### The AI Buzz, Episode #1: ChatGPT, Transformers and Attention

Hello, I’m Josh Starmer from the YouTube channel, StatQuest with Josh Starmer. And I’m Luke Antiga, CEO of Lightning AI. And together we’re going to talk, to dig it together, we host the AI Buzz, where we’re going to talk about the latest trends in AI, and just talk about why they will change everything, […]
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### Supercharge Your Model Training With MosaicML Composer: Community & Partner Talks at PT Conf. 2022

Hey folks, nice to meet you everyone, both in person and online. My name is Hagai. I lead engineering at MosaicML and I’m going to spend the next 10 minutes or so introducing you to MosaicML Composer and how you can use it to supercharge your PyTorch training. Today, thanks to the amazing AI community […]
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