Extra Prompts

 

20 Prompts for Large Language Models:

1. Creative Writing:

   • Write a poem in the style of Edgar Allan Poe about a robot who falls in love with a human.
   • Create a children's story about a talking dog who helps solve a mystery in a small town.
   • Compose a rap song about the struggles of climate change, from the perspective of Earth itself.

2. Factual Tasks:

   • Summarize the key findings of a recent scientific paper on the potential benefits of space exploration.
   • Translate a complex legal document into a simplified and understandable format for the public.
   • Generate a detailed itinerary for a 2-week trip through Southeast Asia, considering cultural experiences and local cuisine.

3. Open Ended Questions:

   • If artificial intelligence surpasses human intelligence, what ethical considerations will arise?
   • What would the world look like if humans had the ability to teleport anywhere instantly?
   • Imagine a future where everyone has a personal AI assistant. What are the potential benefits and drawbacks?

4. Specific Tasks:

   • Write a persuasive email to convince a potential investor to fund a new sustainable energy project.
   • Create a marketing campaign for a new product launch, including social media content and a press release.
   • Generate code for a simple Python program that calculates the area of different shapes.

5. Humorous Prompts:

   • Write a news article reporting on a group of squirrels who have formed a revolutionary government.
   • Imagine a conversation between a pair of shoes discussing the latest fashion trends.
   • Compose a limerick about a grumpy librarian who hates loud children.

Remember, these are just a few examples. You can tailor prompts to your specific needs and interests to explore the full potential of large language models.

 

Here are 10 additional prompts for large language models, pushing beyond the previous examples:

Creative Writing:

6. Write a script for a short film set in a dystopian future where humans are controlled by AI.
7. Compose a song in the style of a specific artist, exploring a theme from their work from a different perspective.
8. Craft a historical fiction story where a famous historical figure encounters a time traveler from the future.

Factual Tasks:

9. Analyze a dataset of social media posts and identify emerging trends in public opinion on a specific topic.
10. Generate a research proposal for a new study in a specific scientific field, outlining the research question, methodology, and expected outcomes.

Open Ended Questions:

11. If humans discovered a portal to another dimension, what ethical considerations should guide our interaction with its inhabitants?
12. Imagine a world where everyone has access to a universal translator. How would this impact global communication and cultural exchange?
13. What are the potential consequences of large language models becoming increasingly integrated into our daily lives?

Specific Tasks:

14. Design a user interface for a virtual assistant that can answer complex questions and complete tasks based on natural language instructions.
15. Generate a personalized workout plan based on an individual's fitness goals, available equipment, and time constraints.
16. Create a marketing campaign for a new social media platform focused on promoting creativity and collaboration.

Humorous Prompts:

17. Write a script for a stand-up comedy routine from the perspective of a robot trying to understand human humor.
18. Imagine a conversation between two historical figures who have no idea who the other is.
19. Compose a haiku about the existential crisis of a toaster.

Remember, these are just a few ideas to spark your creativity. As you experiment with different prompts, you'll discover the vast potential of large language models for generating creative content, completing tasks, and exploring complex ideas.

 

Design a user interface for a virtual assistant that can answer complex questions and complete tasks based on natural language instructions.

Here's a potential UI design for a virtual assistant with complex question and task capabilities:

Main Interface:

    Chat Window: This is the primary interaction point. Users can type natural language questions and instructions directly into the chat window.
    Voice Activation Button: A microphone icon allows users to activate voice commands for hands-free interaction.
    Contextual Buttons: Based on the current conversation, a set of contextual buttons may appear below the chat window. These buttons offer quick actions related to the ongoing dialogue, like "Show me pictures" or "Book a flight."
    Assistant Avatar: A small, friendly avatar representing the virtual assistant can be displayed in the corner of the interface, providing a visual presence and potentially conveying emotions.

Additional Features:

    Knowledge Base Access: A dedicated button or menu option allows users to access the virtual assistant's knowledge base directly. This could include curated information on various topics, FAQs, and pre-defined tasks.
    Task Management: A dedicated section for managing tasks initiated through the assistant. This could include setting reminders, tracking progress, and modifying instructions.
    Customization: Users can personalize their experience by setting preferences for voice, language, and the assistant's personality (formal, casual, humorous).

Interaction and Feedback:

    Natural Language Processing: The assistant should understand and respond to natural language questions and instructions, even if they are phrased in a variety of ways.
    Clarification Prompts: When the assistant needs further clarification, it should prompt the user politely with specific questions or suggestions.
    Visual Cues: Loading indicators, progress bars, and relevant visual elements should be used to provide feedback during processing and task execution.
    Confirmation and Feedback: The assistant should summarize completed tasks and offer opportunities for confirmation or feedback.

Overall Design Considerations:

    Clean and Minimalist Interface: The UI should be clean and uncluttered to avoid overwhelming the user.
    Intuitive Navigation: Users should be able to easily find the features they need without confusion.
    Accessibility: The interface should be accessible to users with disabilities, including options for text-to-speech and voice control.
    Continuous Learning: The assistant should learn from user interactions and improve its responses over time.

By incorporating these elements, the virtual assistant can provide a user-friendly and intuitive experience for interacting with complex questions and completing tasks through natural language commands.