—— Future of prompt engineering:Michael Figueroa 本图由Bing使用DALL· E人工智能创作 Michael Figueroa(Toptal资讯安全服务资深策略总监,生成式 AI网络安全专家)在解释提示工程时,指出提示工程并不是从模型的输出中提取或简化信息,而是试图深入理解“语言模型”如何与特定的“语言提示”相关联。 换句话说,关注的是...
在信息爆炸的时代,如何有效地组织和梳理思维成为了一个重要的能力。树状思维提示(Tree of Thought Prompting)是一种结构化的思维工具,它通过构建类似于树枝分叉的思考模式,帮助人们更清晰地理解和探索一个主题。本文将介绍树状思维提示的概念、工作原理、优缺点以及应用场景。 1. 树状思维提示的工作原理 树状思维提示的...
Chain of thought prompting: In contrast, this concept corresponds to the model's capacity to generate text in a linear, left-to-right fashion, where each subsequent token is directly influenced by the preceding tokens. This sequential progression reflects a simpler, more straightforward approach to ...
cff-version: 1.2.0 title: >- Using Tree-of-Thought Prompting to boost ChatGPT's reasoning message: >- If you use this software, please cite it using the metadata from this file. type: software authors: - given-names: Dave family-names: Hulbert orcid: 'https://orcid.org/0000-0003-023...
Tree-of-Thought Prompting allows Large Language Models to self-correct errors, whilst gradually building up knowledge. ## Difficult questions for LLMs There's certain types of questions that Large Language Models (LLMs) find difficult to answer. Here's an example: Bob is in the living room...
Using the LLM to generate multiple thought candidates at each step, either independently or sequentially conditioned on previous thoughts. Getting the LLM to evaluate the promise of different states (partial solutions) through value estimation prompts that assess progress so far. ...
LATS与最近提出的LM搜索算法ToT(Tree-of-Thought)和RAP(Reasoning via Planning)之间的主要区别如图所示,LATS利用环境反馈和自我反思进一步调整搜索并提高性能。 LATS与ToT、RAP差异概览 在描述LATS之前,我们首先定义问题,概述一些利用大型语言模型进行推理或决策的已有方法。在LM推理或决策中, ...
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Code for implementing a Tree of thought based prompting method for the math data GSM8K. - ShreyPandit/Tree-of-thought-on-GSM8K
Using Tree-of-Thought Prompting to boost ChatGPT's reasoning - Initial commit · privatesvx/tree-of-thought-prompting@99186e9