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Topic: Model Optimization

The NeurIPS 2023 LLM Efficiency Challenge Starter Guide

Optimizing Memory Usage for Training LLMs and Vision Transformers in PyTorch

How to Speed Up PyTorch Model Training

Using DeepSpeed to Optimize Models

Accelerate Serving Stable Diffusion by Optimizing the Inference Scheduler

How to Evaluate Machine Learning Models

How to Triple Your Model’s Inference Speed

Serve Stable Diffusion Three Times Faster

Scale Model Serving with Dynamic Batching and Autoscaling

How to Enable GPU-Accelerated Training on Apple Silicon in PyTorch