Unlocking the Power of ChatGPT: Master New Concepts with Just Two Prompting Techniques!
Introduction
Meet ChatGPT, the friend we never hesitate to ask any silly or complex questions. Imagine this: you pose a complex concept, and the response you receive is as intricate as the concept itself. Sense a gap? Let's bridge it by exploring the best prompting techniques to enhance your learning experience with ChatGPT.
Scenario / Context
You are learning machine learning, and you have come across new terms. So, you are asking ChatGPT to explain those terms. Let's use this scenario and break down the learnings.
Generic Prompting
Example Prompt : Define Perceptron and Adaline.
The above prompt involves a common type of prompting format (i.e. Direct Prompting) that most of us use. Let's explore the prompting techniques to modify it in the upcoming discussions.
Advanced Prompting
1. Role Prompting
It involves assigning a role to the GPT before asking any questions. By assigning a role, we receive a more concise response than a generic one.
Example Prompt : Act as a Machine learning engineer with 5+ years of experience. In your experience, you have been doing end to end building and implementation of ML projects. Incorporate all your experiences and answer the questions i ask. My first question is, "Define Perceptron and Adaline with an example situation".
Here, we are giving the role as "Machine Learning Engineer" and then explaining the daily duties of that role and then asking our question. It makes the GPT to generate the field oriented response of that specific field.
#Prompt_Template : Act as a [specific role] with 5+ years of experience. In your experience, [Explain the daily tasks of that role]. Incorporate all your experiences and answer the questions i ask. My first question is, " [Question] ".
2. Audience Control
Audience control is simply informing the AI about the intended readership for the response. By specifying the audience, we can obtain a more curated and understandable response.
Example Prompt : Consider me as a school kid and answer the upcoming questions in a simple way. My first question is, "Define Perceptron and Adaline with an example situation".
Here, we are informing the AI about the audience(school kid) and then asking it to generate the response for the question. It makes AI to generate response with respect to the audience, making it more understandable.
#Prompt_Template : Consider me as a [Audience type] and answer the upcoming questions in a [complexity] way. My first question is, " [Question] "
3. Combining above two techniques (Role prompting and Audience Control)
Assigning a role to AI and specifying its audience.
Example Prompt : Act as a Machine learning engineer with 5+ years of experience. In your experience you have been doing end to end building and implementation of ML projects. Incorporate all your experiences and answer the questions i ask considering me as a school kid. My first question is, "Define Perceptron and Adaline with an example situation".
Here we have combined above two technique and made a prompt that gives more specific field oriented response in a more understandable way.
#Prompt_Template : Act as a [specific role] with 5+ years of experience. In your experience, [Explain the daily tasks of that role]. Incorporate all your experiences and answer the questions i ask considering me as a [Audience type]. My first question is, " [Question] ".
Conclusion
In this blog, we have explored a scenario and demonstrated how refining the prompt for that situation can enhance our learning experience. By employing techniques like Role Prompting and Audience Control, we unlock a more refined and targeted learning experience, transforming complex concepts into accessible knowledge. Share your feedback and favorite prompting techniques in the comments..