Building Transformer Models at Scale
The Challenge of Scale Transformer architectures have revolutionized natural language processing and are increasingly applied to vision, audio, and multimodal tasks. But moving from research notebooks to production systems presents unique challenges. In this post, we’ll explore practical strategies for scaling transformer models to handle real-world workloads. Architecture Considerations Model Size vs. Inference Speed The eternal trade-off: larger models deliver better performance but slower inference. Finding the sweet spot requires: ...