Getting Started with the Gemini API in Vertex AI | GSP1209 | Prompt Design in Vertex AI | Gen Ai
"Getting Started with the Gemini API in Vertex AI" 🚀
Introduction 🌟
Completed the "Getting Started with the Gemini API in Vertex AI" lab
Part of Google Cloud's "Prompt Design in Vertex AI" skill badge program
Hands-on experience with Google's advanced AI capabilities
Gemini Models Overview 🤖
**Gemini Pro**:
Specializes in complex reasoning tasks ✓
Excels at analyzing large information sets 📊
Performs sophisticated cross-modal reasoning across text, code, and images
Solves problems in complex codebases effectively 💻
**Gemini Flash**:
Optimized for speed and efficiency ⚡
Delivers sub-second response times
Offers high quality at lower cost
Enhanced multimodal capabilities with improved spatial understanding 🖼️
Lab Tasks & Learnings 📝
1. Basic Text Generation 📝
Used the versatile `generate_content` method
Created responses to various text prompts
Explored the flexibility of the API for different use cases
2. Response Streaming ⏩
Experienced real-time text generation
Received chunks of responses as they were generated
Perfect for interactive applications requiring immediate feedback
3. Custom Prompt Experimentation 💡
Tested personal prompts to challenge the model
Gained insights into effective prompt design principles
Discovered techniques to elicit more precise outputs
4. Safety Filters & Controls 🛡️
Learned to adjust safety filters across multiple categories
Customized content boundaries for specific use cases
Analyzed safety ratings assigned to generated content
5. Multi-turn Conversations 💬
Tested chat capabilities through back-and-forth interactions
Observed how context is maintained between exchanges
Explored potential for chatbot and conversational AI applications
6. Multimodal Capabilities 📸
Generated text from combinations of local images and text
Experienced Gemini 2.0 Flash's ability to interpret visual content
Perfect for documentation analysis and content creation assistance
7. Few-Shot Prompting with Multiple Images 🖼️
Combined multiple images with text for guided responses
Learned how examples can shape output patterns
Discovered techniques for specialized applications
8. Video Analysis Capabilities 🎥
Generated insights from video file content
Observed how Gemini interprets motion and temporal relationships
Tested analysis of both local and web-based video media
Key Takeaways 🔑
Vertex AI provides a streamlined platform for deploying Gemini models
Gemini offers impressive versatility across text, image, and video inputs
Safety considerations are well-integrated into the API
Real-world applications span from content creation to complex data analysis
Value for Developers 👩💻👨💻
Practical experience with cutting-edge AI technology
Insights into responsible implementation practices
Skills applicable across numerous industries and use cases
Lab Link - https://www.cloudskillsboost.google/c...
Skill Badge - https://www.cloudskillsboost.google/c...
‼️‼️Create a Google Cloud Skills Boost Account
To start your learning journey and complete courses, you'll need to create a Google Cloud Skills Boost account. This account is mandatory to get access to hands-on training content.
Visit https://www.cloudskillsboost.google
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