This document illustrates varios kinds of prompts that can be used to enhance the code quality of the project, and also adding more features, using GitHuv Copilot.
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This document illustrates varios kinds of prompts that can be used to enhance the code quality of the project, and also adding more features, using GitHuv Copilot.
In natural language processing (NLP), prompts are used to guide the model to generate the desired output. There are various kinds of prompts that can be used, including zero-shot, one-shot, and multi-shot prompts. Below are descriptions and examples of each type.
Zero-shot prompts are used when the model is given a task without any prior examples. The model must rely solely on its pre-existing knowledge to generate the output.
@workspace@workspace@workspaceOne-shot prompts provide the model with a single example to help it understand the task before generating the output.
@workspace/explain@workspaceMulti-shot prompts give the model multiple examples to better understand the task and generate more accurate outputs.
@workspacePrompt: What are the main sections or headings in the employee handbook?
Prompt: Can you extract the text from the first page of Northwind Standard Benefits?
Prompt: What are the benefits listed in Perks Plus?
What are the differences between Standard Benefits and Plus Benefits?
Can you summarize the key points from Benefit Options and PerksPlus documents?
Can you find information about health benefits in employee handbook?
What is Affordable Care Act
Is there any mention of retirement plans in Benefit Options?
In the chat functionality of this project, add 3 more blocks of question examples. The 3 examples are. 1. What are the main sections or headings in the employee handbook? 2. Can you extract the text from the first page of Northwind Standard Benefits? 3. What are the differences between Standard Benefits and Plus Benefits?