Separating user input from computation also let you more options about how to get said input. One of them is using a Command Line Interface to let the user configure the script at startup without worrying for it being stuck at some point waiting for input.getoptandargparseare two standard p...
需要注意的是,当使用 OpenAI 的gpt-4或者gpt-3.5-turbo等聊天模型时,你可以使用三个不同的角色来构建 prompt:system、user和assistant。其中system不是必需的,但有助于设定assistant的整体行为,帮助模型了解用户的需求,并根据这些需求提供相应的响应。上面的示例仅包含一条user消息,你可以使用user消息直接作为 prompt。...
Apply available tools for the function executionobervation=available_functions[action](action_input)# print(Fore.BLUE + f"Observation: {obervation}")print(Style.RESET_ALL)messages.append({"role":"user","content":"Observation: "+obervation})except:raiseNotImplementedError# If no action is detected...
如果你正在使用OpenAI Playground或其他任何LLM Playground,你可以按照以下屏幕截图中的方式提示模型: 需要注意的是,当使用 OpenAI 的gpt-4或者gpt-3.5-turbo等聊天模型时,你可以使用三个不同的角色来构建 prompt:system、user和assistant。其中system不是必需的,但有助于设定assistant的整体行为,帮助模型了解用户的需求,...
Prompt chaining is a technique that involves breaking down a complex task into a series of smaller, interconnected prompts, where the output of one prompt serves as the input for the next, guiding the LLM through a structured reasoning process. Dr Ana Rojo-Echeburúa 19 min didacticiel Underst...
上面的示例仅包含一条user消息,你可以使用user消息直接作为 prompt。为简单起见,本指南所有示例(除非明确提及)将仅使用user消息来作为gpt-3.5-turbo模型的 prompt。上面示例中assistant的消息是模型的响应。你还可以定义assistant消息来传递模型所需行为的示例。你可以在此处了解有关使用聊天模型的更多信息。
In the python addin help documentation, I do not see a function or property anywhere to pop up a dialogue that will accept some sort of textual input. For example, a text box with 2 entry fields. One for the username and one for the password and then a button to...
DSPy compiler optimizes program quality or cost, utilizing training inputs and validation metrics. DSPy Compiler simulates program versions, bootstrapping example traces for self-improvement and effective prompt generation. Optimization in DSPy is modular, conducted by teleprompters, which determine mod...
To provide this context, we can simply add the previous messages to the prompt. For example, we could update our prompt to look like the following: C# Java Python C# stringhistory =""" User input: I hate sending emails, no one ever reads them. AI response: I'm sorry to hear that....
For example, we could update our prompt to look like the following:C# Python C# 複製 string history = @"User input: I hate sending emails, no one ever reads them. AI response: I'm sorry to hear that. Messages may be a better way to communicate."; prompt = @$...