Gemini_2.0_for_developers.pdf

Transcript

1. for developers Mete Atamel Developer Advocate @ Google @meteatamel atamel.dev speakerdeck.com/meteatamel
2. Hello to
4. Features across models
5. gemini-2.0-flash A GA model on: • Gemini Developer API, on Google AI Studio • Gemini API, on Vertex AI Studio
6. gemini-2.0-flash-thinking-exp-01-21 An experimental model trained to generate the thinking process for stronger reasoning across math and science
7. Performance Multimodal Live API Unified SDK Native Tool Use Native Image & Audio Output (preview) Spatial Understanding
8. Enterprise Vertex AI Studio Google Cloud APIs cloud.google.com/vertex-ai Consumers Gemini gemini.google.com Developers Google AI Studio Google APIs aistudio.google.com ai.google.dev/gemini-api
9. Performance
10. Gemini Flash 2.0 offers 2x the speed of Gemini 1.5 Pro Stronger performance on multimodal, text, code, video, spatial understanding and reasoning
14. Unified SDK
16. Unified interface to Gemini 2.0 (and 1.5) • Gemini Developer API on Google AI Studio • Gemini API on Vertex AI The new Google Gen AI SDK
17. Gemini Developer API on Google AI Studio client = genai.Client( api_key=your-gemini-api-key) response = client.models.generate_content( model="gemini-2.0-flash-001", contents="Why is the sky blue?")
18. Gemini Developer API on Vertex AI client = genai.Client( vertexai=True, project=your-google-cloud-project, location="us-central1") response = client.models.generate_content( model="gemini-2.0-flash-001", contents="Why is the sky blue?")
19. Native Tool Use
20. Google Search Tool Ground model responses in Google Search results For more accurate, up-to-date, and relevant responses
21. Google Search Tool google_search_tool = Tool(google_search=GoogleSearch()) response = client.models.generate_content( model="gemini-2.0-flash-001", contents="How’s the weather like today in London?", config=GenerateContentConfig(tools=[google_search_tool]) )
22. Code Execution Tool Model generates and runs Python code Useful for applications that benefit from code-based reasoning (e.g. solving equations)
23. Code Execution Tool code_execution_tool = Tool(code_execution=ToolCodeExecution()) response = client.models.generate_content( model="gemini-2.0-flash-001", contents="What is the sum of the first 50 prime numbers?", config=GenerateContentConfig( tools=[code_execution_tool], temperature=0))
24. Automatic Function Calling Submit a Python function for automatic function calling (instead of submitting an OpenAPI specification of the function)
25. Function Calling–before
26. Automatic Function Calling def get_current_weather(location: str) -> str: """Example method. Returns the current weather. Args: location: The city and state, e.g. San Francisco, CA """ weather_map: dict[str, str] = { "Boston, MA": "snowing", "San Francisco, CA": "foggy", "Seattle, WA": "raining", "Austin, TX": "hot", "London, UK": "rainy and dark", } return weather_map.get(location, "unknown")
27. Automatic Function Calling response = client.models.generate_content( model="gemini-2.0-flash-001", contents="What is the weather like in Austin?", config=GenerateContentConfig( tools=[get_current_weather], temperature=0))
28. Spatial Understanding
29. Improved accuracy on 2D and 3D spatial understanding Spatial Understanding
30. Multimodal Live API
31. Enables low-latency, two-way interactions → Input: text, audio, and video ← Output: audio and text Multimodal Live API
32. • Multimodality – model can see, hear, speak • Low-latency – for realtime interaction • Memory – model remembers the session • Tools – Function calling, code execution, and Google search Multimodal Live API–key capabilities
33. Native Image & Audio Output (preview)
34. Gemini 2.0 introduces native image generation and text-to-speech capabilities Enables image generation / editing and expressive storytelling Native Image & Audio Output (preview)
37. Thank you! Mete Atamel Developer Advocate at Google @meteatamel atamel.dev speakerdeck.com/meteatamel