Yet, one of the ongoing challenges is improving these models' ability to solve elaborate problems efficiently. The burgeoning landscape of artificial intelligence has given rise to increasingly sophisticated Large Language Models (LLMs) capable of a wide range of tasks. ![]() This work brings the LLM reasoning closer to human thinking or brain mechanisms such as recurrence, both of which form complex networks. The framework has shown significant improvements in task performance, including a 62% increase in sorting quality and a cost reduction of over 31% compared to Tree of Thoughts.GoT surpasses existing paradigms like Chain-of-Thought (CoT) and Tree of Thoughts (ToT) by representing the information generated by an LLM as a graph, allowing for more flexible and efficient reasoning. ![]() Graph of Thoughts (GoT) is a novel framework designed to enhance the prompting capabilities of Large Language Models (LLMs) for complex problem-solving tasks.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |