Optimizing LLM Workflows with Fine-Grained Orchestration

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Teola is a novel framework designed to address efficiency and workflow issues in literature research involving Large Language Models (LLMs). It targets the challenges of LLM hallucinations and inefficiencies by optimizing fine-grained workflows combining LLM and non-LLM modules. Motivated by latency bottlenecks and ignored optimizations in current frameworks, Teola employs parallelization and pipelining strategies. Workflows are represented as graphs, optimized by a graph optimizer and...