Prompt Engineering
In the Prompt Engineering internship program, you will learn how to design, structure,
and optimize prompts for AI models like ChatGPT. Through hands-on experiments and projects, you’ll explore prompt patterns, instruction tuning, zero-shot and few-shot techniques, and prompt chaining. You’ll gain real experience in building AI-driven solutions for tasks like content generation, summarization, classification, and conversation design, equipping you for emerging roles in the field of AI interaction.
Level 1: Easy Projects
Task 1: Setting Up and Exploring a Language Model Playground
Problem Statement:
Set up access to an AI language model playground and create basic prompts to understand its responses.
Steps to Complete:
- Sign up for OpenAI, Hugging Face, or similar platform
- Explore the playground interface
- Write simple prompts (e.g., asking facts, simple questions)
- Analyze the outputs and save your best prompts
Task 2: Creating Basic Instruction Prompts
Problem Statement:
Design clear and concise instruction prompts to perform simple tasks.
Steps to Complete:
- Write prompts that instruct the model to summarize a text
- Create prompts to generate short stories or explanations
- Test variations and note differences in responses
Task 3: Prompt Formatting and Temperature Tuning
Problem Statement:
Experiment with prompt formatting and temperature settings to control response creativity.
Steps to Complete:
- Write a prompt and run it with different temperature values (e.g., 0.2, 0.7, 1.0)
- Compare the results and document the effects
- Adjust prompt phrasing to see how it influences outputs
Level 2: Intermediate Projects
Task 4: Designing Prompts for Data Extraction
Problem Statement:
Create prompts that extract structured data from unstructured text.
Steps to Complete:
- Provide paragraphs containing dates, names, or other data
- Write prompts that ask the model to extract specific fields
- Test and refine prompts to improve accuracy
Task 5: Building a Conversational Agent Prompt
Problem Statement:
Design prompts to build a simple chatbot with a personality.
Steps to Complete:
- Write system and user prompts that define chatbot behavior
- Implement turn-based conversation simulation
- Test responses for consistency and tone
Task 6: Prompt Chaining for Complex Tasks
Problem Statement:
Use multiple prompts in sequence to complete a multi-step task.
Steps to Complete:
- Break a complex query into smaller steps
- Write individual prompts for each step
- Chain prompts programmatically and combine results
Level 3: Advanced Projects
Task 7: Fine-tuning Prompts for Specific Domains
Problem Statement:
Develop and optimize prompts for tasks in specialized fields (e.g., legal, medical).
Steps to Complete:
- Research domain-specific terminology and context
- Write prompts tailored to the domain language
- Test and refine to ensure relevant and accurate responses
Task 8: Creating Few-shot Learning Prompts
Problem Statement:
Design prompts that include examples to guide the model’s output format.
Steps to Complete:
- Write prompts with 2-3 examples of desired input-output pairs
- Test the prompt on new inputs
- Analyze and improve output accuracy
Task 9: Automating Prompt Generation and Evaluation
Problem Statement:
Build a script to generate multiple prompt variations and evaluate their effectiveness.
Steps to Complete:
- Write a program that modifies prompts systematically
- Use the language model API to get responses for each prompt
- Implement evaluation metrics (e.g., relevance, completeness)
- Select the best-performing prompts based on scores