Say Goodbye to Costly Auto-GPT and LangChain Runs: Meet ReWOO – The Game-Changing Modular Paradigm that Cuts Token Consumption by Detaching Reasoning from External Observations
GPT-4: Researchers have developed ReWOO, a modular paradigm for Augmented Language Models (ALMs) that reduces token consumption and improves efficiency. By separating the reasoning process from external observations, ReWOO divides ALMs into three modules: Planner, Worker, and Solver. The approach demonstrated a 5x token efficiency gain and a 4% accuracy improvement on the HotpotQA benchmark. ReWOO’s decoupling of parametric modules from nonparametric tool calls also enables instruction fine-tuning, offering a scalable solution for ALMs.
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