Generative AI with Vertex AI: Prompt Design
the official documentation on prompt design
- Task 1. Open the notebook in Vertex AI Workbench
- Task 2. Set up the notebook
- Task 3. Prompt engineering best practices
- Task 4. Reduce Output Variability
- Task 5. Improve Response Quality by Including Examples
Why we should write code and documentation in Jupyter notebook ?
Get Started with Vertex AI Studio
- Task 1. Analyze images with Gemini in Freeform mode
- Task 2. Explore multimodal capabilities
- Task 3. Design text prompts
- Task 4. Generate conversations
Getting Started with the Gemini API in Vertex AI
- Task 1. Open the notebook in Vertex AI Workbench
- Task 2. Set up the notebook
- Task 3. Use the Gemini 1.5 Pro model
- Task 4. Generate text from a multimodal prompt
Prompt Design in Vertex AI: Challenge Lab
- Task 1. Build a Gemini image analysis tool
- Task 2. Build a Gemini tagline generator
- Task 3. Experiment with image analysis code
- Task 4. Experiment with tagline generation code
Freeform, chat,
Vertex AI > Workbench > Jupyter notebook > Python code
, change prompt and parameter, test case
Resources about AI
Generative AI on Vertex AI Documentation
Explore the Vertex AI Cookbook for a curated, searchable gallery of notebooks for Generative AI.
Explore other notebooks and samples in the Google Cloud Generative AI repository.
Generative AI on Vertex AI, Google Responsible AI
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