In the Prompt Engineering internship program, you’ll learn the skills required to craft effective prompts for AI language models, particularly focusing on improving the outputs generated by tools like GPT, ChatGPT, and other AI systems. Prompt engineering involves the creation of precise inputs to generate specific and desired outcomes from an AI model. This program covers practical tasks, providing hands-on experience in developing, refining, and analyzing prompts. You will work with AI-powered tools to generate content, refine responses, and explore real-world applications.
Notice: Complete a minimum of 2 tasks from the tasks listed below.
Task 1: Designing Effective Prompts for Content Generation
Problem Statement:
Learn how to design prompts that generate high-quality, engaging content on specific topics using AI-powered tools.
Steps to Complete:
- Choose a content generation tool like ChatGPT or GPT-3.
- Design prompts for generating a blog post on a topic of your choice (e.g., “Sustainable Living” or “AI in Healthcare”).
- Analyze the quality of the output and refine your prompt to improve the coherence, relevance, and engagement of the generated content.
Tools/Datasets/Platforms:
- OpenAI’s GPT-3 or ChatGPT
You can use any tool/data.
How to Submit:
- Record a video or screen recording (10-15 seconds) of the content generated and the prompt used.
- Upload the video to LinkedIn or YouTube.
- Tag the following in your post:
- Submit the link in the submission form.
Task 2: Prompt Tuning for Conversational AI
Problem Statement:
Optimize prompts to create a more natural and context-aware conversation using AI models like GPT or ChatGPT.
Steps to Complete:
- Start a conversation with an AI model (e.g., ChatGPT) on a selected topic (e.g., “The Future of Remote Work”).
- Fine-tune your prompts during the conversation to make the responses more natural, context-aware, and engaging.
- Document how changes to the prompt affect the conversation.
Tools/Datasets/Platforms:
- ChatGPT or any conversational AI model
You can use any tool/data.
How to Submit:
- Record a video or screen recording of the conversation and prompt refinements.
- Upload the video to LinkedIn or YouTube.
- Tag the following in your post:
- Submit the link in the submission form.
Task 3: Crafting Prompts for Code Generation
Problem Statement:
Design prompts that can generate simple code snippets using AI models like Codex or ChatGPT.
Steps to Complete:
- Use an AI model like OpenAI Codex or ChatGPT that supports code generation.
- Write a prompt to generate a basic Python program (e.g., “Write a Python program to sort a list of numbers”).
- Review and refine the prompt to ensure the generated code is correct and efficient.
Tools/Datasets/Platforms:
- Codex or ChatGPT
You can use any tool/data.
How to Submit:
- Record a video or screen recording of the code generation and prompt used.
- Upload the video to LinkedIn or YouTube.
- Tag the following in your post:
- Submit the link in the submission form.
Task 4: Prompt Evaluation for Sentiment Analysis
Problem Statement:
Evaluate and refine prompts for sentiment analysis, ensuring the output from the AI is accurate and context-aware.
Steps to Complete:
- Use an AI tool that supports sentiment analysis (e.g., Hugging Face or ChatGPT).
- Craft a prompt to analyze the sentiment of a text passage (e.g., “Analyze the sentiment of the following customer review”).
- Refine your prompt to improve the accuracy and contextual relevance of the sentiment analysis.
Tools/Datasets/Platforms:
- Hugging Face or ChatGPT
You can use any tool/data.
How to Submit:
- Record a video or screen recording of the sentiment analysis output and the prompt used.
- Upload the video to LinkedIn or YouTube.
- Tag the following in your post:
- Submit the link in the submission form.
Task 5: Designing Prompts for Data Summarization
Problem Statement:
Create prompts that can summarize large blocks of text, such as research papers or articles.
Steps to Complete:
- Select a large piece of text (e.g., a research article or news report).
- Use an AI tool (e.g., GPT-3 or ChatGPT) to design a prompt that generates a concise summary.
- Refine your prompt to improve the accuracy and quality of the summarization.
Tools/Datasets/Platforms:
- GPT-3 or ChatGPT
You can use any tool/data.
How to Submit:
- Record a video or screen recording of the summarization output and the prompt used.
- Upload the video to LinkedIn or YouTube.
- Tag the following in your post:
- Submit the link in the submission form.
Task 6: Prompt Engineering for Language Translation
Problem Statement:
Design prompts for translating text from one language to another using AI language models.
Steps to Complete:
- Choose a passage of text in a language of your choice.
- Design a prompt to translate the text into another language (e.g., “Translate the following English text into Spanish”).
- Analyze the translation accuracy and refine your prompt to improve the results.
Tools/Datasets/Platforms:
- ChatGPT or any language model that supports translation
You can use any tool/data.
How to Submit:
- Record a video or screen recording of the translation and prompt used.
- Upload the video to LinkedIn or YouTube.
- Tag the following in your post:
- Submit the link in the submission form.
Task 7: Designing Prompts for Question-Answering Systems
Problem Statement:
Create prompts that enable an AI model to answer questions based on a given passage of text.
Steps to Complete:
- Choose a passage of text (e.g., from a book or article).
- Design a prompt that asks the AI model to answer specific questions based on the passage (e.g., “What are the main points of the article?”).
- Evaluate and refine your prompt to improve the accuracy and relevance of the answers.
Tools/Datasets/Platforms:
- GPT-3, ChatGPT, or any question-answering AI model
You can use any tool/data.
How to Submit:
- Record a video or screen recording of the question-answering process and prompt used.
- Upload the video to LinkedIn or YouTube.
- Tag the following in your post:
- Submit the link in the submission form.
Task 8: Prompt Design for Creative Writing
Problem Statement:
Create prompts that inspire creative writing, such as short stories or poems, using AI models.
Steps to Complete:
- Choose a creative writing task (e.g., “Write a short story about a futuristic world”).
- Design a prompt that guides the AI model to generate a creative piece of writing.
- Refine your prompt to improve the creativity and coherence of the generated output.
Tools/Datasets/Platforms:
- GPT-3, ChatGPT
You can use any tool/data.
How to Submit:
- Record a video or screen recording of the generated creative writing and prompt used.
- Upload the video to LinkedIn or YouTube.
- Tag the following in your post:
- Submit the link in the submission form.
Task 9: Prompt Tuning for Mathematical Problem Solving
Problem Statement:
Design prompts that allow AI models to solve basic mathematical problems.
Steps to Complete:
- Use an AI model to generate solutions to mathematical problems (e.g., “Solve this equation: 2x + 5 = 15”).
- Refine your prompt to improve the accuracy and clarity of the solution provided.
Tools/Datasets/Platforms:
- GPT-3, ChatGPT, or any AI model that supports mathematical problem solving
You can use any tool/data.
How to Submit:
- Record a video or screen recording of the problem-solving process and prompt used.
- Upload the video to LinkedIn or YouTube.
- Tag the following in your post:
- Submit the link in the submission form.
Conclusion:
This set of tasks will provide you with essential skills in Prompt Engineering, enabling you to craft effective inputs for AI models across various use cases. Engage with these tasks to enhance your expertise and gain practical experience in working with AI-driven systems.