Edge 361: LLM Reasoning with Graph of Thoughts
Not chains or trees but graph structures for LLM reasoning.
In this Issue:
Understanding Graph of Thoughts as an LLM reasoning method.
A review of the original Graph of Thoughts paper from Princeton University.
Diving into LangChain’s LangSmith, a tool for debugging and testing LLMs.
💡 ML Concept of the Day: Understanding Graph of Thoughts
Continuing our series about reasoning in LLMs, we would like to explore one of the techniques that expands the ideas around chain-of-thought(CoT). Graph of Thoughts (GoT) is an innovative framework frames an LLM reasoning problem as a graph problem. The fundamental concept and primary advantage of GoT lie in its ability to represent the information generated by an LLM as a versatile graph. In this graph, individual units of information, referred to as 'LLM thoughts,' are represented as vertices, and the connections between them are depicted as edges, signifying dependencies.