                      Practical 6      
Prompt Engg 
a.Zero Shot
B.one-shot
C.few shots
Practical Q’s
1.Write a prompt asking an AI to explain Artificial Intelligence to a 10-year-old student using a real-life example.
2.Write a prompt to generate 10 MCQs on Python Programming, each with four options, the correct answer, and a one-line explanation.
3.Create a role-based prompt where the AI acts as a career counsellor and recommends career options for a BSc Computer Science graduate.
4.Write a zero-shot prompt to classify a given customer review as Positive, Negative, or Neutral. Test it with at least five reviews.
5.Convert the zero-shot prompt from Question 4 into a few-shot prompt by providing suitable examples. Compare the outputs.
6.Write an initial vague prompt such as “Explain Machine Learning.” Improve it by adding context, audience, constraints, examples, and output format. Compare both responses.
Detailed prompt
7.Design a prompt that summarizes a given article in exactly five bullet points, using simple language and highlighting important keywords
8.Create a prompt that asks an AI to generate a 7-day study plan for a student preparing for an Artificial Intelligence examination. Specify study hours, topics, breaks, and revision time.
9.
10.Design a prompt where AI acts as a research assistant and generates a research problem, three objectives, two research questions, and a suitable methodology for a given topic.
11.Create a prompt that asks the AI to generate an answer in three different styles: beginner-friendly, technical, and exam-oriented. Compare the outputs.
12.Select any real-world problem and develop three iterations of a prompt—Prompt V1, V2, and V3. Improve each version based on the shortcomings of the previous output and document your observations.
Problem:- Generating an effective, high-converting cold email campaign for a B2B SaaS startup targeting mid-market Human Resources directors to sell an AI-powered onboarding platform. 
Prompts 
Prompt V1
Prompt V2
Prompt V3
Problem statements for Chain-of-Thought (CoT) / structured reasoning prompting.
Selecting the Best Laptop for a Student
Learning Objective: Applying structured reasoning prompting to a multi-criteria decision-making problem.
Problem Statement:
 A student wants to purchase a laptop for programming, data analysis, online lectures, and basic video editing. The student has a maximum budget of ₹60,000 and has shortlisted three laptops with different specifications.
Design a prompt that asks an AI system to systematically compare the laptops based on price, processor, RAM, storage, battery life, and suitability for the student's requirements, and finally recommend the most appropriate laptop.
Student Task: Students should create a prompt that instructs the AI to evaluate each option against the requirements, compare advantages and disadvantages, provide a concise justification, and give a final recommendation.

[TABLE 1]
Write a prompt asking an AI to analyze a Python program containing errors, identify the errors, explain them, and provide the corrected program.