WebReAct: Synergizing Reasoning and Acting in Language Models ( ICLR, 2024, Notable-top-5%) [ paper ] [ code] Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning ( ICLR, 2024, Notable-top-5%) [ paper] What learning algorithm is in-context learning? WebAction prompting, meanwhile, is a way of prompting LLMs to call external services or take actions (like: book a new flight, search for user data, etc) ReAct prompting combines …
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WebAug 30, 2024 · Our approach works by chaining together reasoning steps, where each step results from calls to two fine-tuned LMs, one for selection and one for inference, to produce a valid reasoning trace. Our method carries out a beam search through the space of reasoning traces to improve reasoning quality. Web2/ paper: ReAct: Synergizing Reasoning and Acting in Language Models. 关键词 [推理],[行动] LLM有没有主动推理能力?目前没有确切答案。 但是可以明确的是,随着Chain-of-Thought(CoT)的引入,LLM的推理能力可被解锁。 CoT是ReAct的前提,我之前有thread专门介绍CoT,感兴趣的读者可以去阅读 - Twitter thread by Sverige_ Dong-seok ... canon mg5150 treiber installieren
Agent and small LLM validation - Speaker Deck
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 … WebWe 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 … WebPrompts are the main interface between a user and language models. It was funny in the beginning, but now prompts engineering is an intriguing research area… flagstaff az metro population