Teola introduces fine-grained end-to-end orchestration for LLM-based applications, moving beyond traditional module-based approaches to achieve superior performance.

• Treats workflows as collections of primitives rather than coarse modules, enabling cross-module optimizations
• Implements dynamic scheduling algorithms that adapt to runtime conditions
• Achieves up to 1.86× speedup in complex multi-LLM applications
• Demonstrates that holistic optimization outperforms the sum of individual module optimizations

This research matters for engineering teams building LLM applications by providing a framework that significantly reduces end-to-end latency without sacrificing output quality. It bridges the gap between theoretical LLM optimization and practical deployment challenges.

Teola: Towards End-to-End Optimization of LLM-based Applications