- 首页
- 简介
- 提示在 AI 模型中的作用
- 什么是生成式 AI?
- NLP 和 ML 基础
- 常见的 NLP 任务
- 优化基于提示的模型
- 调整和优化技巧
- 预训练和迁移学习
- 设计有效的提示
- 提示生成策略
- 监控提示效果
- 特定领域的提示
- ChatGPT 提示示例
- 扮演角色提示 (ACT LIKE)
- 包含提示 (INCLUDE)
- 列出提示 (COLUMN)
- 查找提示 (FIND)
- 翻译提示 (TRANSLATE)
- 定义提示 (DEFINE)
- 转换提示 (CONVERT)
- 计算提示 (CALCULATE)
- 生成想法提示 (GENERATING IDEAS)
- 创建列表提示 (CREATE A LIST)
- 确定原因提示 (DETERMINE CAUSE)
- 评估影响提示 (ASSESS IMPACT)
- 推荐解决方案提示 (RECOMMEND SOLUTIONS)
- 解释概念提示 (EXPLAIN CONCEPT)
- 概述步骤提示 (OUTLINE STEPS)
- 描述优势提示 (DESCRIBE BENEFITS)
- 解释缺点提示 (EXPLAIN DRAWBACKS)
- 缩短提示 (SHORTEN)
- 设计脚本提示 (DESIGN SCRIPT)
- 创意调查提示 (CREATIVE SURVEY)
- 分析工作流程提示 (ANALYZE WORKFLOW)
- 设计入职流程提示 (DESIGN ONBOARDING PROCESS)
- 开发培训计划提示 (DEVELOP TRAINING PROGRAM)
- 设计反馈流程提示 (DESIGN FEEDBACK PROCESS)
- 制定留存策略提示 (DEVELOP RETENTION STRATEGY)
- 分析 SEO 提示 (ANALYZE SEO)
- 制定销售策略提示 (DEVELOP SALES STRATEGY)
- 创建项目计划提示 (CREATE PROJECT PLAN)
- 分析客户行为提示 (ANALYZE CUSTOMER BEHAVIOR)
- 创建内容策略提示 (CREATE CONTENT STRATEGY)
- 创建电子邮件活动提示 (CREATE EMAIL CAMPAIGN)
- ChatGPT 在工作场所的应用
- 程序员的提示
- 基于人力资源的提示
- 基于财务的提示
- 基于营销的提示
- 基于客户服务的提示
- 思维链提示
- 先问后答提示
- 填空提示
- 视角提示
- 建设性批评提示
- 比较提示
- 反向提示
- 社交媒体提示
- 高级提示工程
- 高级提示
- 新想法和文案生成
- 伦理考量
- 提示使用指南
- 有用的库和框架
- 案例研究和示例
- 新兴趋势
- 提示工程有用资源
- 快速指南
- 有用资源
- 讨论
提示工程 - 思维链提示
思维链提示涉及基于之前的回复构建,以创建流畅的思维流程,使其成为头脑风暴、解决问题和创意探索的强大技术。
在本章中,我们将探讨思维链提示的概念以及如何使用 ChatGPT 来激发持续且连贯的思路。
什么是思维链提示?
思维链提示涉及提供一系列相互构建的提示。每个提示都包含先前的回复,允许 ChatGPT 发展一系列想法或持续的思维链。此技术鼓励模型在整个对话中保持连贯性和一致性。
思维链提示的优势
思维链提示提供以下几个优势 -
流畅的想法生成 - 它培养了流畅且不间断的想法流动,鼓励创造力而无需中断或打断。
深入探索 - 通过建立在先前的想法之上,模型可以更深入地探讨概念并探索各种角度。
连贯性和一致性 - 该技术鼓励模型在整个对话中保持连贯性和一致性,从而产生更有意义且联系紧密的回复。
实施思维链提示
设置链条 - 要启动思维链,请从一个为后续回复奠定基础的初始提示开始。每个提示都应以某种方式参考先前的回复以保持链条。
请查看以下示例 -
User: We want to brainstorm ideas for a new product. Let's try Chain of Thought Prompting. ChatGPT: Great! Let's begin. Prompt 1: "Imagine a product that revolutionizes how people [X]." User: Prompt 2: "Building on the previous idea, this product could also [Y]." ChatGPT: Prompt 3: "Expanding on the previous concepts, we could incorporate [Z] to enhance the product's functionality." User: Prompt 4: "Continuing the chain, let's explore how the product can [A] and [B] to meet user needs."
培养链条 - 随着链条的进行,引导模型探索更深层和更详细的概念。鼓励它以逻辑和创造性的方式连接想法。
请查看以下示例 -
User: Prompt 5: "Taking inspiration from the previous prompts, let's consider how the product can be eco-friendly and sustainable." ChatGPT: Prompt 6: "To build on that idea, we can incorporate [Sustainability Feature] that aligns with our eco-conscious vision." User: Prompt 7: "Expanding on the previous response, let's brainstorm ways to effectively market the product's sustainability aspect." ChatGPT: Prompt 8: "With that in mind, we can create a marketing campaign that emphasizes the product's positive impact on the environment and appeals to conscious consumers."
思维链提示的最佳实践
为了最大程度地利用思维链提示,请考虑以下最佳实践 -
保持提示清晰简洁 - 确保每个提示都简单明了,以便模型能够专注于扩展想法。
鼓励创造力 - 使用开放式提示来激发模型的想象力和创造力。
提供上下文 - 如果需要,提供相关的上下文或背景信息来指导模型的回复。
User: We need captivating copy for our social media posts. Can you provide some copywriting prompts? ChatGPT: Certainly! Here are some copywriting prompts for your social media posts: 1. "Discover the secret to [Benefit] with our latest [Product/Service]." 2. "Don't miss out on our limited-time offer! Get [Discount/Offer] today." 3. "Ready to level up your [Industry] game? We've got you covered!" 4. "Get inspired by our collection of [Product/Service] that's designed to delight."
创意广告文案提示
ChatGPT 可以帮助生成各种平台的创意广告文案,例如 Google Ads 或 Facebook Ads。这些提示有助于制作引人注目的广告内容。
请查看以下示例 -
User: We want to create compelling ad copy for our upcoming campaign. Can you help us with ad copy prompts? ChatGPT: Absolutely! Here are some ad copy prompts to make your campaign stand out: 1. "Unlock the potential of [Product/Service] and experience the difference." 2. "Join the [Industry] revolution with our innovative and cutting-edge solutions." 3. "Empower your business with [Product/Service] for accelerated growth." 4. "Discover a world of possibilities with our versatile and customizable [Product/Service]."
示例应用 - Python 实现
让我们探索一个使用 Python 脚本与 ChatGPT 交互的指令的实用示例。
import openai # Set your API key here openai.api_key = 'YOUR_API_KEY' def generate_chat_response(prompt): response = openai.Completion.create( engine="text-davinci-003", prompt=prompt, max_tokens=500, temperature=0.7, n=1, stop=None ) return response user_prompt = "User: We need captivating copy for our social media posts. Can you provide some copywriting prompts? \n" chat_prompt = user_prompt + "[Chain of Thought]" response = generate_chat_response(chat_prompt) print(response)
输出
1. What makes your brand unique? 2. What message do you want to convey to your audience? 3. How can you create a sense of urgency or excitement in your content? 4. What value can you add to your followers' lives? 5. What interesting facts or stories can you share about your brand? 6. How can you create a sense of community among your followers? 7. What questions can you ask your followers to engage them in conversation? 8. How can you create content that encourages user generated content? 9. What visual content can you create to capture people's attention? 10. What hashtags can you use to increase visibility and engagement?
结论
在本章中,我们探讨了思维链提示的概念及其激发持续的想法流和连贯思维过程的潜力。通过将此技术与 ChatGPT 结合使用,企业和个人可以解锁更深入的探索、创意头脑风暴和有效的解决问题的能力。
当您将思维链提示融入您的对话方式时,您可以发现新的见解,建立在想法之上,并像以前从未有过的那样激发创造性探索。