So, what does the word ‘prompt’ actually mean? Now, we talk a lot about prompt engineering and interaction with large language models. Let’s dive into this word a little bit because I want to give you a sense of the depth of what a prompt can be. It’s more than just a question that you’re asking to the large language model.
To understand the concept of a prompt, let’s go through a couple of examples and interact with chatGPT. A prompt is a call to action for the large language model. It’s a way of getting the model to start generating output for us. The prompt can take various formats, such as software instructions, words in a poem, or structured data.
A prompt can also have a time aspect associated with it. It can be immediate or span longer periods. The time aspect of a prompt can influence the output of the model. Additionally, a prompt can serve as a cue or reminder to help someone remember what they need to do or say.
When interacting with chatGPT, we can ask questions and provide prompts. The prompt can elicit information from the user or ask the user for input. It can be a messenger screen that appears on a computer or electronic device, asking for input.
The prompt can also affect the conversation and the output of the model. It can shape the questions we ask and the responses we receive. By attaching time to a prompt, we can create a sequence of prompts that influence the model’s output.
Furthermore, a prompt can have memory associated with it. It can help the model remember previous interactions and use that information to generate better responses. The prompt can also be used to provide new and updated information to the model.
In conclusion, a prompt is a powerful tool for interacting with large language models. It goes beyond a simple question and can shape the conversation and output. By understanding the different dimensions of a prompt, we can effectively utilize it to generate meaningful and accurate responses from the model.
