Part 8/13:
- Reordering results to increase diversity, helping users explore related but not overly similar papers.
Accelerating Embedding Generation: Batch Optimization and Error Management
Throughout the process, Shapiro encountered challenges related to GPU memory limitations, which he overcame by:
Reducing batch sizes from 1,000 to 300 or 100.
Implementing error handling to skip problematic articles.
Monitoring GPU utilization, observing that larger batch sizes didn't linearly reduce processing time due to memory constraints.
This optimization reduced processing time significantly, enabling him to embed over 2 million papers in less than three hours, instead of several days.