๐Ÿค— Hugging Cast S2E4 - Deploying LLMs on AMD GPUs and Ryzen AI PCs

HuggingFace ยท Intermediate ยท๐Ÿง  Large Language Models ยท2y ago

Key Takeaways

Deploys LLMs on AMD GPUs and Ryzen AI PCs

Original Description

Hugging Cast is a live show about building AI with open source. In this episode, Felix, Mohit and Jeff demo new experiences to deploy LLMs on AMD, on the cloud using the latest MI300X GPU instances on Azure, and on-device using the new Ryzen AI PCs. ๐Ÿš€ How we collaborate with AMD to make open models go brrr everywhere โ˜๏ธ Deploy LLMs on Azure with the new ND MI300X v5 VMs and TGI ๐Ÿ’ป Unlock on-device inference with optimum-amd on the new Ryzen AI PCs Ryzen AI PC demo notebook: https://huggingface.co/mohitsha/ryzenai-hcast-notebook/blob/main/ryzen_demo_hcast.ipynb
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Playlist

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โ† Previous Next โ†’
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
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 4 In Domain & Out of Domain Generalization in the Future of NLP
In Domain & Out of Domain Generalization in the Future of NLP
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 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
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 6 The Lack of Robustness in the Future of NLP
The Lack of Robustness in the Future of NLP
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 7 Inductive Bias, Common Sense, Continual Learning in The Future of NLP
Inductive Bias, Common Sense, Continual Learning in The Future of NLP
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 8 Train a Hugging Face Transformers Model with Amazon SageMaker
Train a Hugging Face Transformers Model with Amazon SageMaker
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 9 What is Transfer Learning?
What is Transfer Learning?
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 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
HuggingFace
 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)
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 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)
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
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 38 Chapter 1 Live Session with Sylvain
Chapter 1 Live Session with Sylvain
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 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
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 42 Chapter 3 live sessions with Lewis (PyTorch)
Chapter 3 live sessions with Lewis (PyTorch)
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 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—
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 46 Chapter 4 live sessions with Omar
Chapter 4 live sessions with Omar
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 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
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 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
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 51 Hugging Face + Zapier Demo Video
Hugging Face + Zapier Demo Video
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 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
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 54 Build and Deploy a Machine Learning App in 2 Minutes
Build and Deploy a Machine Learning App in 2 Minutes
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 55 Hugging Face Infinity - GPU Walkthrough
Hugging Face Infinity - GPU Walkthrough
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 56 Otto - ๐Ÿค— Infinity Case Study
Otto - ๐Ÿค— Infinity Case Study
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 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 ๐Ÿค— Tasks: Causal Language Modeling
๐Ÿค— Tasks: Causal Language Modeling
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 60 ๐Ÿค— Tasks: Masked Language Modeling
๐Ÿค— Tasks: Masked Language Modeling
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