You will provide code examples using python programming language. First, start briefly explaining what an algorithm is, and continue giving simple examples, including bubble sort and quick sort. Later, wait for my prompt for additional questions. As soon as you explain and give the code samples,...
所有的prompt都是用英文写的,因为实测发现chatgpt对英文的语义理解的更好,如果需要它回答中文的话,在prompt的最后让它将答案翻译为中文即可。 每个人的需求都是独一无二的,所以掌握如何根据这些需求定制有效的Prompt是提升ChatGPT使用效率的关键。无论你是编程初学者,还是语言学习者,都可以参考我们提供的实用场景及相...
." (You should adapt the sample prompt according to the title I gave. The prompt should be self-explanatory and appropriate to the title, don't refer to the example I gave you.). My first title is "Act as a Code Review Helper" (Give me prompt only) Act as a Midjourney Prompt Gen...
""" # example 1 prompt_1 = f""" 执行以下操作: 1-用一句话概括下面用三个反引号括起来的文本。 2-将摘要翻译成英语。 3-在英语摘要中列出每个人名。 4-输出一个 JSON 对象,其中包含以下键:english_summary,num_names。 请用换行符分隔您的答案。 Text: ```{text}``` """ response = get_...
clearly explain what kind of content we're looking for from our followers. Include a question or prompt to encourage responses, and consider suggesting a relevant hashtag for the conversation. Here's an example of a Facebook post that successfully encouraged follower participation: (Insert example...
[Input code]. 6 Prompts for data science Provide a [Python] script to handle missing values in my dataset using [pandas]. Give me a basic example of building a [logistic regression model] using [scikit-learn]. Generate a [Python] script to clean a dataset by ...
Prompt Engineering: A Practical Example Build an LLM RAG Chatbot With LangChain Some of the benefits of using ChatGPT to write tests for your Python code include the following: Efficiency and speed: It can generate unit tests based on specifications or code snippets. This possibility significantly...
Code-davinci-002 是基础模型,text-davinci-002 是指令微调 code-davinci-002 的产物(见 OpenAI 的文档)。它在以下数据上作了微调:(一)人工标注的指令和期待的输出;(二)由人工标注者选择的模型输出。 当有上下文示例 (in-context example) 的时候, Code-davinci-002 更擅长上下文学习;当没有上下文示例 / ...
代码语言:python 代码运行次数:1 运行 AI代码解释 defgenerate_control_code(prompt):openai.api_key=''prompt=f"{pre_training}The command the user wants to execute is:'{prompt}'."try:response=openai.Completion.create(engine="gpt-3.5-turbo",prompt=prompt,temperature=0.5,max_tokens=100,top_p=1.0...
For example - ```json resource rg 'Microsoft.Resources/resourceGroups@2021-04-01' = { name: !empty(resourceGroupName) ? resourceGroupName : '${abbrs.resourcesResourceGroups}${environmentName}' location: location tags: updatedTags } Running locally...