Prompt engineering
Prompt engineering is crucial in AI, particularly with advanced language models like GPT-4o in Microsoft Copilot. It entails crafting precise prompts to guide models toward producing the desired results. By refining prompts, you can improve the quality, relevance, and accuracy of AI responses.
In the following video, you explore the concept of prompt engineering. You discover the importance of clear instructions and relevant context to effectively communicate with AI and achieve optimal results.
The following video teaches you how to improve your prompt creation abilities to maximize your effectiveness with Microsoft Copilot. It includes best practices such as being specific, selecting the appropriate style, prioritizing accuracy, and tailoring your experience to make each interaction more productive and enjoyable.
Note
Microsoft Copilot no longer includes the conversation style feature.
Prompt engineering is essential for working with reasoning engines. Here's how to make your experience more effective:
- Be specific: Clearly state your needs.
- Use examples: Guide the model by providing examples.
- Set the context: Offer enough background and instructions for clarity.
- Iterate and refine: Adjust prompts based on responses for improvement.
- Limit the scope: Break down tasks to enhance output quality.
- Test approaches: Experiment with different phrasings to find what works best.
With these best practices for prompting in your toolkit, the next unit dives into the importance of critical thinking in this process.