Introduction:
Prompts are the instructions you provide to Collective’s AI models to generate responses.
Whether you're asking for information, requesting a specific task, or having a conversation, clear and specific prompts lead to better results.
What Is Prompt Engineering?
Prompt engineering refers to the skill of designing and refining prompts to get the most accurate and relevant responses from AI systems. While this is a specialised skill, Collective's user-friendly interface allows everyone, regardless of experience, to get great results.
Tips for Crafting Effective Prompts:
- Be Specific: Avoid vague prompts to get more precise responses.
- Provide Context: Help the AI understand your needs by providing relevant details or uploading information.
- Define a Persona: Tailor the response to a specific persona if needed.
- Specify Style and Tone: Request responses in a particular style or tone.
- Format and Length: Define the expected format and length of the response.
- Keep It Concise: Avoid overloading the AI with irrelevant information.
- Exclude Unwanted Content: Specify if you want to avoid certain topics or formats.
Examples of Common Prompts:
- Informational: “What are the largest cities in each state in the UK?”
- Instructional: “Summarise this article”
- Creative: “Write a poem”
- Conversational: “Any tips on public speaking?”
- Problem-Solving: “How can I improve collaboration between remote employees?”
- Opinion-Based: “What’s the best way to ask my manager for a promotion?”
- Educational: “What is the significance of the Romanticism era in art?”
