Ways to compress PTMs

A development team has created a large, high-performance language model for a new smartphone application that provides real-time text summarization. During user testing, they observe that while the summaries are highly accurate, the application is slow to respond and causes the phone's battery to drain rapidly. Which of the following strategies would be the most appropriate first step to address these specific performance issues on the device?

Deployment Strategy for a New AI Assistant

Deployment Challenges of Large Models

For any real-world application, applying compression techniques to a large pre-trained model is the optimal deployment strategy because it reduces model size and improves computation efficiency without compromising the model's performance.