Google Prompt Engineering Learning
Explore resources and best practices for effective prompt engineering.
Prompt engineering is the process of designing and refining inputs (prompts) for AI models, like those from Google, to achieve desired outputs. It's a crucial skill for leveraging the full potential of generative AI.
This section can be expanded with:
- Key principles of prompt design.
- Examples of effective and ineffective prompts.
- Links to official Google AI learning materials.
- Interactive exercises or tutorials.
Be Specific: Clearly state what you want the model to do.
Provide Context: Give relevant background information.
Use Examples (Few-shot prompting): Show the model what kind of output you expect.
Define the Persona: Instruct the model to act as a specific character or expert.
Specify the Format: Ask for the output in a particular structure (e.g., list, JSON, table).
Iterate and Refine: Experiment with different phrasings and see what works best.