Edge 361: LLM Reasoning with Graph of Thoughts
Was this email forwarded to you? Sign up here Edge 361: LLM Reasoning with Graph of ThoughtsNot chains or trees but graph structures for LLM reasoning.In this Issue:
💡 ML Concept of the Day: Understanding Graph of ThoughtsContinuing 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... Subscribe to TheSequence to read the rest.Become a paying subscriber of TheSequence to get access to this post and other subscriber-only content. A subscription gets you:
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