Variables are used to reserve memory spaces in a concise {manner}, holding the information we intend to utilize in our output prompt or as a reference. It's possible to define multiple variables.
For instance:
Variable Name: RS (keep it short)
Variable Value: Rising Sun
Input: Compose a poem about {RS} where it is mentioned exactly 10 times.
You can add as many variables as you want, but the model could hallucinate.

The general context provides the model with the initial information to start its task or to know the purpose and scope of what we are going to ask for in the input, is not always necessary.
You can look in Task the expamples with type of general contex you can adapt and modify them to your needs..

It is the heart of the prompt, in this part we request the specific and necessary task to ChatGPR.
Example: To summarize text, in the input text we would write: "Summarize the text separating the topics by titles and highlighting the main concepts of the Text:"
(when using context always refer to "the text" and end the imput with "Text:" for a better interpretation of the model.)
In the output of the prompt you will see some formats like: f, """", etc. so that ChtaGPT interprets it better, we recommend not to alter them.

Hyperparameters are settings or configurations used to control the training process itself, rather than the learned relationships within the model. They are established before training and are not learned from data (temperature, Top K, etc.).
Parameters are the internal variables that the model learns during training. They define the relationships between the input data and the predicted output. These values are specific to the particular dataset and task the model was trained on (Role, Tone, Etc.).