在当今人工智能领域,提问大型语言模型(Large Language Models,LLM)已经成为一种常见的实践,但如何向这些模型提出问题,或者更准确地说,如何引导它们产生期望的输出,成为了一个关键的问题。这引入了一个重要的概念,即"Prompt Engineering",也就是提示工程。 什么是提示词(Prompt)? 如何向大语言模型提问,或者更好的提问...
paper:A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications 摘要 Prompt Engineering已经成为扩展大语言模型(LLMs)和视觉语言模型(VLMs)能力的不可或缺的技术。这种方法无需修改模型参数,而是基于特定的任务指令(Prompt)来增强模型的效果。Prompt不是更新模型参数,而是仅通过...
OpenAI Cookbook has many in-depth examples for how to utilize LLM efficiently.LangChain, a library for combining language models with other components to build applications.Prompt Engineering Guide repo contains a pretty comprehensive collection of education materials on prompt engineering.learnprompting.or...
Large Language Models（LLMs），也称为大型语言模型，是一种基于机器学习和自然语言处理技术的模型，它通过对大量的文本数据进行训练，来学习服务人类语言理解和生成的能力。LLM的核心思想是通过大规模的无监督训练来学习自然语言的模式和语言结构，这在一定程度上能够模拟人类的语言认知和生成过程。与传统的NLP模型相比...
自然语言提示工程(natural language prompt engineering):它为人类提供了一个自然的界面与机器沟通,这里的机器不仅限于LLMs,也包括诸如提示驱动的图像合成器之类的模型。 以上这些研究方向的背后,都隐含了一个事实: 因为LLMs本质是一个序列条件概率模型,简单的语言提示并不总是能产生预期的结果,输入序列的每一个微小地...
https://baoyu.io/translations/ai-paper/2312.10997-retrieval-augmented-generation-for-large-language-models-a-survey 一、Prompt Engineering 提示词工程 提示词工程可以分三个层次: 标准提示词 Few-shot 少量示例提示词,通过提供少量的示例来让模型回答的更精准。
Prompt engineering is the latest discipline for developing and optimizing prompts for efficient usage of language models (LMs), including various applications and topics. Prompt engineering helps better understand the capabilities and limitations of large language models (LLMs). ...
Chain-of-Thought的概念源自2022年Google发布的论文《Chain-of-Thought Prompting Elicits Reasoning in Large Language Models》。这篇论文详细介绍了如何运用思维链提示技术，引导大型语言模型生成类似于人类思考过程的推理链条，进而提升模型在处理复杂推理任务时的效能。实现Chain-of-Thought的方法主要有两种：一种是Zero-...
Prompt engineering P-tuning Why use large language models? Chatbots are typically built with an ensemble of BERT models and a dialog manager. This method has some advantages such as smaller-sized models, which can result in lower latencies and compute requirements. This, in turn, is more ...
Large Language Models (LLMs) have been proposed as a solution to address high volumes of Patient Medical Advice Requests (PMARs). This study addresses whether LLMs can generate high quality draft responses to PMARs that satisfies both patients and clinicians with prompt engineering. MATERIALS AND...