AI for Augmenting Human Creativity

HuggingFace · Beginner ·📰 AI News & Updates ·3y ago
Join Devi Parikh from Meta AI to learn how her research lab is developing generative AI tools like Make-A-Scene and Make-A-Video that enable people to express themselves in novel ways through text, images, video, and audio. This talk is part of Hugging Face's Diffusion Models Course: https://github.com/huggingface/diffusion-models-class Bio: Devi Parikh is a Research Director at the Fundamental AI Research (FAIR) lab at Meta, and an Associate Professor in the School of Interactive Computing at Georgia Tech. She has held visiting positions at Cornell University, University of Texas at Austin, Microsoft Research, MIT, Carnegie Mellon University, and Facebook AI Research. She received her M.S. and Ph.D. degrees from the Electrical and Computer Engineering department at Carnegie Mellon University in 2007 and 2009 respectively. Her research interests are in computer vision, natural language processing, embodied AI, human-AI collaboration, and AI for creativity. Twitter: https://twitter.com/deviparikh Website: https://faculty.cc.gatech.edu/~parikh/
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1 The Future of Natural Language Processing
The Future of Natural Language Processing
HuggingFace
2 Trends in Model Size & Computational Efficiency in NLP
Trends in Model Size & Computational Efficiency in NLP
HuggingFace
3 Increasing Data Usage in Natural Language Processing
Increasing Data Usage in Natural Language Processing
HuggingFace
4 In Domain & Out of Domain Generalization in the Future of NLP
In Domain & Out of Domain Generalization in the Future of NLP
HuggingFace
5 The Limits of NLU & the Rise of NLG in the Future of NLP
The Limits of NLU & the Rise of NLG in the Future of NLP
HuggingFace
6 The Lack of Robustness in the Future of NLP
The Lack of Robustness in the Future of NLP
HuggingFace
7 Inductive Bias, Common Sense, Continual Learning in The Future of NLP
Inductive Bias, Common Sense, Continual Learning in The Future of NLP
HuggingFace
8 Train a Hugging Face Transformers Model with Amazon SageMaker
Train a Hugging Face Transformers Model with Amazon SageMaker
HuggingFace
9 What is Transfer Learning?
What is Transfer Learning?
HuggingFace
10 The pipeline function
The pipeline function
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11 Navigating the Model Hub
Navigating the Model Hub
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12 Transformer models: Decoders
Transformer models: Decoders
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13 The Transformer architecture
The Transformer architecture
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14 Transformer models: Encoder-Decoders
Transformer models: Encoder-Decoders
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15 Transformer models: Encoders
Transformer models: Encoders
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16 Keras introduction
Keras introduction
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17 The push to hub API
The push to hub API
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18 Fine-tuning with TensorFlow
Fine-tuning with TensorFlow
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19 Learning rate scheduling with TensorFlow
Learning rate scheduling with TensorFlow
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20 TensorFlow Predictions and metrics
TensorFlow Predictions and metrics
HuggingFace
21 Welcome to the Hugging Face course
Welcome to the Hugging Face course
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22 The tokenization pipeline
The tokenization pipeline
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23 Supercharge your PyTorch training loop with Accelerate
Supercharge your PyTorch training loop with Accelerate
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24 The Trainer API
The Trainer API
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25 Batching inputs together (PyTorch)
Batching inputs together (PyTorch)
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26 Batching inputs together (TensorFlow)
Batching inputs together (TensorFlow)
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27 Hugging Face Datasets overview (Pytorch)
Hugging Face Datasets overview (Pytorch)
HuggingFace
28 Hugging Face Datasets overview (Tensorflow)
Hugging Face Datasets overview (Tensorflow)
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29 What is dynamic padding?
What is dynamic padding?
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30 What happens inside the pipeline function? (PyTorch)
What happens inside the pipeline function? (PyTorch)
HuggingFace
31 What happens inside the pipeline function? (TensorFlow)
What happens inside the pipeline function? (TensorFlow)
HuggingFace
32 Instantiate a Transformers model (PyTorch)
Instantiate a Transformers model (PyTorch)
HuggingFace
33 Instantiate a Transformers model (TensorFlow)
Instantiate a Transformers model (TensorFlow)
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34 Preprocessing sentence pairs (PyTorch)
Preprocessing sentence pairs (PyTorch)
HuggingFace
35 Preprocessing sentence pairs (TensorFlow)
Preprocessing sentence pairs (TensorFlow)
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36 Write your training loop in PyTorch
Write your training loop in PyTorch
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37 Managing a repo on the Model Hub
Managing a repo on the Model Hub
HuggingFace
38 Chapter 1 Live Session with Sylvain
Chapter 1 Live Session with Sylvain
HuggingFace
39 Chapter 2 Live Session with Lewis
Chapter 2 Live Session with Lewis
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40 The push to hub API
The push to hub API
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41 Chapter 2 Live Session with Sylvain
Chapter 2 Live Session with Sylvain
HuggingFace
42 Chapter 3 live sessions with Lewis (PyTorch)
Chapter 3 live sessions with Lewis (PyTorch)
HuggingFace
43 Day 1 Talks: JAX, Flax & Transformers 🤗
Day 1 Talks: JAX, Flax & Transformers 🤗
HuggingFace
44 Day 2 Talks: JAX, Flax & Transformers 🤗
Day 2 Talks: JAX, Flax & Transformers 🤗
HuggingFace
45 Day 3 Talks JAX, Flax, Transformers 🤗
Day 3 Talks JAX, Flax, Transformers 🤗
HuggingFace
46 Chapter 4 live sessions with Omar
Chapter 4 live sessions with Omar
HuggingFace
47 Deploy a Hugging Face Transformers Model from S3 to Amazon SageMaker
Deploy a Hugging Face Transformers Model from S3 to Amazon SageMaker
HuggingFace
48 Deploy a Hugging Face Transformers Model from the Model Hub to Amazon SageMaker
Deploy a Hugging Face Transformers Model from the Model Hub to Amazon SageMaker
HuggingFace
49 Run a Batch Transform Job using Hugging Face Transformers and Amazon SageMaker
Run a Batch Transform Job using Hugging Face Transformers and Amazon SageMaker
HuggingFace
50 [Webinar] How to add machine learning capabilities with just a few lines of code
[Webinar] How to add machine learning capabilities with just a few lines of code
HuggingFace
51 Hugging Face + Zapier Demo Video
Hugging Face + Zapier Demo Video
HuggingFace
52 Hugging Face + Google Sheets Demo
Hugging Face + Google Sheets Demo
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53 Hugging Face Infinity Launch - 09/28
Hugging Face Infinity Launch - 09/28
HuggingFace
54 Build and Deploy a Machine Learning App in 2 Minutes
Build and Deploy a Machine Learning App in 2 Minutes
HuggingFace
55 Hugging Face Infinity - GPU Walkthrough
Hugging Face Infinity - GPU Walkthrough
HuggingFace
56 Otto - 🤗 Infinity Case Study
Otto - 🤗 Infinity Case Study
HuggingFace
57 Workshop: Getting started with Amazon Sagemaker Train a Hugging Face Transformers and deploy it
Workshop: Getting started with Amazon Sagemaker Train a Hugging Face Transformers and deploy it
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58 Workshop: Going Production: Deploying, Scaling & Monitoring Hugging Face Transformer models
Workshop: Going Production: Deploying, Scaling & Monitoring Hugging Face Transformer models
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59 🤗 Tasks: Causal Language Modeling
🤗 Tasks: Causal Language Modeling
HuggingFace
60 🤗 Tasks: Masked Language Modeling
🤗 Tasks: Masked Language Modeling
HuggingFace

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