Hello everyone, welcome to the Prawn Engineering podcast. In this video, we will dive deep into some interesting ChatGPT prompts that will enhance your experience. So, without wasting time, let’s get started.
There is another very powerful prompt engineering technique you should be aware of. In certain situations, you can get dramatically better results by forcing ChatGPT to outline its thought process. This means getting ChatGPT to describe how it derived a certain solution instead of just giving you the solution. In certain situations, this can lead to better results.
The reason for this is that ChatGPT and other language models are about predicting text based on the input and the text they have already generated. By outputting an entire thought process, they have more words to build up the overall response, which can lead to better results.
For example, if you ask ChatGPT for the result of a mathematical calculation and only ask for the result without describing how it got there, you might get a wrong result. However, if you ask ChatGPT to describe its thought process, you are more likely to get the correct result.
Another trick is to ask ChatGPT for the prompt that could produce a specific example output. This can help you write efficient prompts that are understood by ChatGPT. While the generated prompt is based on probabilities and statistics, it can give you good ideas for writing prompts that produce similar or more detailed output.
If you want to explore more exciting ChatGPT prompts, you can check out the GitHub repository mentioned in the video. It contains many example prompts that can serve as inspiration for your specific use case.
To separate instructions from content, you can wrap the main content with three double quotes. This helps ChatGPT differentiate between the content it should work on and your instructions. This technique is especially useful when working with long pieces of content.
That’s all for today. Stay tuned for more exciting content like this. See you soon!
Keywords: ChatGPT, GPT prompts, enhance experience, thought process, prompting technique, efficient prompts, separating instructions, content manipulation
