WebTips and tricks in #LLM #chatbot #prompting: If you are putting the chatbot to solve complex task, it can help to separate its "think and act" phases, so that… 14 comments … WebOct 6, 2024 · In this paper, we explore the use of LLMs to generate both reasoning traces and task-specific actions in an interleaved manner, allowing for greater synergy between the two: reasoning traces help the model induce, track, and update action plans as well as handle exceptions, while actions allow it to interface with external sources, such as …
Ihar Suvorau on LinkedIn: ReAct: Synergizing Reasoning …
WebOct 5, 2024 · studies on how reasoning and acting can be combined in a synergistic manner for general task solving, and if such a combination can bring systematic benefits compared to reasoning or acting alone ... WebREACT: Synergizing Reasoning and Acting in Language Models ... such as knowledge bases or environments, to gather additional information. We apply our approach, named ReAct, to a diverse set of language and decision making tasks and demonstrate its effectiveness over state-of-the-art baselines, as well as improved human interpretability and ... fisheries resources in india
Oral Presentation - neurips.cc
WebREACT: Synergizing Reasoning and Acting in Language Models [ Abstract ] [ Website ] WebJan 4, 2024 · ReAct: Synergizing Reasoning and Acting in Language Models, October 2024. Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning May 2024 WebApr 11, 2024 · By synergizing reasoning and acting processes, ReAct enables LLMs to perform more effectively on language and decision-making tasks, outperforming state-of-the-art baselines and improving... canadian ladies olympic soccer team