📄️ 高级提示技术盘点
An introduction to advanced AI techniques such as Chain-of-thoughts, Zero Shot Chain of Thought, Knowledge Prompting, ToT, ART, and APE.
📄️ 思维链
This page explains the concept of Chain of Thought Prompting, its importance in enhancing reasoning capabilities of large language models, and provides examples.
📄️ 零样本思维链
Explore the concept of Zero-shot Chain of Thought (CoT) in AI, a task-agnostic method to guide models to think step-by-step.
📄️ 知识提示
This page explains how integrating external knowledge can improve commonsense reasoning through knowledge prompting, without needing task-specific supervision or access to structured knowledge bases.
📄️ 思维树
This page introduces the Tree of Thoughts (ToT) framework, which enhances language models' ability to reason through complex tasks by using intermediate steps.
📄️ 自动推理并使用工具 (ART)
This article introduces the concept of Automatic Reasoning and Tool-use (ART) and its applications in using LLMs for task completion.
📄️ 自动提示工程师(APE)
This page provides an overview of the Automated Prompt Engineer (APE) framework for automatic instruction generation and selection.