贡献四:与state of art方法对比,评估GOT,发现GOT在解决一些 可以被细分为多个独立相似的子任务最后merge的那些任务上非常合适。 贡献五:提出了一个新的metric,用于评估prompting 策略。 GOT framework GOT可以被建模为一个元组(,,,G,τ,ε,R), G 是 LLM reasoning process(包含所有LLM thoughts和上下文和依赖关系...
In comparison to existing paradigms like CoT and ToT, GoT offers a more flexible and efficient way to manage and manipulate the information generated by LLMs. Figure 1: Comparison of Graph of Thoughts (GoT) to other prompting strategies (Image from paper) Implementing Graph of Thoughts To...
Graph of Thoughts (GoT) This is the official implementation ofGraph of Thoughts: Solving Elaborate Problems with Large Language Models. This framework gives you the ability to solve complex problems by modeling them as a Graph of Operations (GoO), which is automatically executed with a Large Lang...