Learn about the latest with PyTorch 2.1 - New Developments with Supriya Rao. Supriya an Engineering Manager at Meta, unveils PyTorch 2.1's new features in compile, distributed, inference, export, and edge technologies, along with optimization techniques like quantization and pruning. She demonstrates how these developments can accelerate popular generative AI models, offering a substantial speedup in performance. Ideal for anyone in data engineering, AI research, or pursuing machine learning courses, this session provides practical insights into enhancing AI model efficiency using PyTorch 2.1. 🚀💡

#PyTorch #MachineLearning #DeepLearning #AIInnovation #DataScience #ArtificialIntelligence #TechUpdates #ModelOptimization #Quantization #AIModeling #InferenceSpeed #TechAdvancements #AIEngineering #GenerativeAIModels

Timecodes:
0:00 - Introduction
0:28 - Agenda
1:00 - Background and Metrics
4:10 - PyTorch 2.1 Features
12:30 - Accelerating Generative AI Models
23:02 - Results

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