Ozgur Guler

AI

Tackle Complex LLM Decision-Making with Language Agent Tree Search (LATS) & GPT-4o

Enhancing LLM decision-making: integrating language agent tree search with GPT-4o for superior problem-solving Ozgur Guler · Follow Published in Towards Data Science · 9 min read · 2 days ago — Image by the author: midjourney — abstract puzzle Large Language Models (LLMs) have demonstrated exceptional abilities in performing natural language tasks that involve complex reasoning. As a result, these models have evolved to function as agents capable of planning, strategising, and solving complex problems.

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