Don't confuse writing a \ clear prompt with writing a short prompt. \ In many cases, longer prompts provide more clarity \ and context for the model, which can lead to \ more detailed and relevant outputs. """ prompt = f""" Summarize the text delimited by triple backticks \ into a ...
\ In many cases, longer prompts provide more clarity \ and context for the model, which can lead to \ more detailed and relevant outputs. """ prompt = f""" Summarize the text delimited by triple backticks \ into a single sentence. ```{text}``` """ response = get_completion(prompt...
In addition, you’ll learn two key principles for writing effective prompts, how to systematically engineer good prompts, and also learn to build a custom chatbot. All concepts are illustrated with numerous examples, which you can play with directly in our Jupyter notebook environment to get hand...
Discover the secrets of Chat GPT-4 prompt engineering and improve its performance. Explore best practices and advanced strategies for developers.
ChatGPT has made AI accessible to a wide range of users,including web developersand web designers. With this tool in hand, a new skill is becoming increasingly popular - prompts engineering. It is possible that in the near future, it will be more important to know how to address and descr...
Welcome to my personal collection of ChatGPT prompts for developers! 🙌 This repository contains a list of powerful ChatGPT prompts that can help you get the creative juices flowing. 💡 Whether you are a beginner or an experienced pro, these prompts can help you think outside the box and...
就在几小时之前,吴恩达在Twitter上宣布了与OpenAI合作的最新免费教程:《ChatGPTPrompt Engineering for Developers》 我们可以通过下面的链接,直达官网网站: https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/ 课程内容 在面向开发人员的 ChatGPT Prompt Engineering 教程中,您将学习如...
This helper function will make it easier to use prompts and look at the generated outputs: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 def get_completion(prompt, model="gpt-3.5-turbo"): messages = [{"role": "user", "content": prompt}] response = openai.ChatCompletion.create( mode...
ChatGPT Prompt Engineering for Developers课程内容概览 该课程总的时间只有1.5个小时,但是包含9个部分,分别是: Introduction Guidelines Iterative Summarizing Infferring Transforming Expanding Chatbot Conclusion 这里面的Iterative主要是讲解如何分析并提炼你的prompts来生成关于产品的营销文案的内容,可以说十分不错。
一、吴恩达《ChatGPT Prompt Engineering for Developers》课程中文版,主要内容为指导开发者如何构建 Prompt 并基于 OpenAI API 构建新的、基于 LLM 的应用,包括: · 书写 Prompt 的原则; · 文本总结(如总结用户评论); · 文本推断(如情感分类、主题提取); · 文本转换(如翻译、自动纠错); · 扩展(如书写邮件...