Hugging Face Course Event Day 2 - Part 2

HuggingFace ยท Beginner ยท๐Ÿง  Large Language Models ยท4y ago
Part 1 of this livestream is here: https://youtu.be/tMwZlbMJggA 0:00 - Introduction 4:35 - Supercharge your PyTorch training loop with ๐Ÿค— Accelerate by Sylvain Gugger 16:25 - Showcase your model demos with ๐Ÿค— Spaces by Merve Noyan 40:17 - Building Machine Learning Applications Fast by Abubakar Abid 1:03:16 - AWS ML Vision: Making Machine Learning Accessible to all Customers by Mathieu Devรฉ 1:27:07 - Managed Training with Amazon SageMaker and ๐Ÿค— Transformers by Philipp Schmid
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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
HuggingFace
 11 Navigating the Model Hub
Navigating the Model Hub
HuggingFace
 12 Transformer models: Decoders
Transformer models: Decoders
HuggingFace
 13 The Transformer architecture
The Transformer architecture
HuggingFace
 14 Transformer models: Encoder-Decoders
Transformer models: Encoder-Decoders
HuggingFace
 15 Transformer models: Encoders
Transformer models: Encoders
HuggingFace
 16 Keras introduction
Keras introduction
HuggingFace
 17 The push to hub API
The push to hub API
HuggingFace
 18 Fine-tuning with TensorFlow
Fine-tuning with TensorFlow
HuggingFace
 19 Learning rate scheduling with TensorFlow
Learning rate scheduling with TensorFlow
HuggingFace
 20 TensorFlow Predictions and metrics
TensorFlow Predictions and metrics
HuggingFace
 21 Welcome to the Hugging Face course
Welcome to the Hugging Face course
HuggingFace
 22 The tokenization pipeline
The tokenization pipeline
HuggingFace
 23 Supercharge your PyTorch training loop with Accelerate
Supercharge your PyTorch training loop with Accelerate
HuggingFace
 24 The Trainer API
The Trainer API
HuggingFace
 25 Batching inputs together (PyTorch)
Batching inputs together (PyTorch)
HuggingFace
 26 Batching inputs together (TensorFlow)
Batching inputs together (TensorFlow)
HuggingFace
 27 Hugging Face Datasets overview (Pytorch)
Hugging Face Datasets overview (Pytorch)
HuggingFace
 28 Hugging Face Datasets overview (Tensorflow)
Hugging Face Datasets overview (Tensorflow)
HuggingFace
 29 What is dynamic padding?
What is dynamic padding?
HuggingFace
 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)
HuggingFace
 34 Preprocessing sentence pairs (PyTorch)
Preprocessing sentence pairs (PyTorch)
HuggingFace
 35 Preprocessing sentence pairs (TensorFlow)
Preprocessing sentence pairs (TensorFlow)
HuggingFace
 36 Write your training loop in PyTorch
Write your training loop in PyTorch
HuggingFace
 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
HuggingFace
 40 The push to hub API
The push to hub API
HuggingFace
 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 ๐Ÿค—
Day 1 Talks: JAX, Flax & Transformers ๐Ÿค—
HuggingFace
 44 Day 2 Talks: JAX, Flax & Transformers ๐Ÿค—
Day 2 Talks: JAX, Flax & Transformers ๐Ÿค—
HuggingFace
 45 Day 3 Talks JAX, Flax, Transformers ๐Ÿค—
Day 3 Talks JAX, Flax, Transformers ๐Ÿค—
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
HuggingFace
 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 - ๐Ÿค— Infinity Case Study
Otto - ๐Ÿค— 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
HuggingFace
 58 Workshop: Going Production: Deploying, Scaling & Monitoring Hugging Face Transformer models
Workshop: Going Production: Deploying, Scaling & Monitoring Hugging Face Transformer models
HuggingFace
 59 ๐Ÿค— Tasks: Causal Language Modeling
๐Ÿค— Tasks: Causal Language Modeling
HuggingFace
 60 ๐Ÿค— Tasks: Masked Language Modeling
๐Ÿค— Tasks: Masked Language Modeling
HuggingFace

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Chapters (6)

Introduction
4:35 Supercharge your PyTorch training loop with ๐Ÿค— Accelerate by Sylvain Gugger
16:25 Showcase your model demos with ๐Ÿค— Spaces by Merve Noyan
40:17 Building Machine Learning Applications Fast by Abubakar Abid
1:03:16 AWS ML Vision: Making Machine Learning Accessible to all Customers by Mathieu
1:27:07 Managed Training with Amazon SageMaker and ๐Ÿค— Transformers by Philipp Schmid
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
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