101.school
CoursesAbout
Search...⌘K
Generate a course with AI...

    Prompt Engineering and ChatGPT

    Receive aemail containing the next unit.
    • Introduction to chatGPT
      • 1.1Understanding AI and chatGPT
      • 1.2Basics of chatGPT
      • 1.3Applications of ChatGPT
    • Prompts in chatGPT
      • 2.1Understanding prompts
      • 2.2Working with prompts
      • 2.3Practicing with prompts
    • Advanced Concepts in chatGPT
      • 3.1Introduction to prompt engineering
      • 3.2chatGPT and prompt optimization
      • 3.3Advanced prompt engineering
    • Leveraging chatGPT
      • 4.1Advanced Applications of chatGPT
      • 4.2Sensitizing chatGPT
      • 4.3Case studies and discussions

    Prompts in chatGPT

    Practicing with Prompts in chatGPT

    2020 Transformer-based language model

    2020 Transformer-based language model.

    In this unit, we will delve into the practical aspects of working with prompts in chatGPT. This hands-on approach will allow you to experiment with different prompts and observe the resulting outputs from chatGPT.

    Hands-on Activity: Experimenting with Prompts

    The best way to understand how prompts work in chatGPT is to experiment with them. For this activity, you will need access to the chatGPT model. If you don't have access, you can use the OpenAI Playground, which provides an interface for interacting with chatGPT.

    Start by entering a simple prompt, such as "Tell me a joke." Observe the response from chatGPT. Now, try changing the prompt slightly, for example, "Tell me a funny joke about cats." Notice how the model's response changes based on the prompt.

    Experiment with different types of prompts. Try asking questions, making statements, and giving commands. Observe how the model's responses vary based on the type and content of the prompt.

    Experimenting with Prompts: Guidance and Troubleshooting

    As you experiment with prompts, keep the following guidance in mind:

    • Be specific: chatGPT generates responses based on the prompt. If the prompt is vague, the response will likely be vague as well. If you want a specific type of response, make sure your prompt is specific.

    • Consider the length: The length of the prompt can influence the response. Longer prompts can provide more context, which can help guide the model's response. However, very long prompts may cause the model to truncate the response due to character limits.

    • Use appropriate language: chatGPT is trained on a diverse range of internet text. However, it doesn't understand language in the same way humans do. It's sensitive to the input it's given, so using clear, concise, and appropriate language in your prompts will yield the best results.

    If you're not getting the responses you expect, try adjusting your prompt. Consider the specificity, length, and language of your prompt. Experiment with different approaches until you get a response that meets your needs.

    Remember, working with chatGPT and prompts is as much an art as it is a science. It requires creativity, experimentation, and a bit of trial and error. But with practice, you'll be able to leverage prompts to effectively guide chatGPT's responses.

    Test me
    Practical exercise
    Further reading

    Hi, any questions for me?

    Sign in to chat
    Next up: Introduction to prompt engineering