ChatGPT: Unleashing the Power of Customization for Enterprise Apps

With the rise of OpenAI’s ChatGPT, there is a huge momentum to experiment, ideate, and create innovative solutions unleashing the power of ChatGPT. This blog’s focus is to explore the currently available possibilities to customize OpenAI’s ChatGPT as per your enterprise’s requirements.

# 1 — Static & Dynamic Prompt Engineering

This is the foundational step to generate relevant and contextual information from the ChatGPT model to shape the conversation. Prompts can be of the following types as well (click here for a catalog of examples by OpenAI, and click here for a collection of prompt examples):

• Instructional: telling the model what you are expecting
• Completion: telling the model to finish the sentence
• Demonstration: showing the model example of what you want

At a high level, there are two sets of approaches for generating a prompt:

• Static Prompt: You use a well-structured prompt as per your need at the beginning of the conversation but the prompt is not auto-generated or contains user-specific information. Here is an example:

I want you to act as a linux terminal. I will type commands and you will reply with what the terminal should show. 
I want you to only reply with the terminal output inside one unique code block, and nothing else. do not write explanations. do not type commands unless I…