Choosing an AI Model for Your Project
summary
Ali Spivak from Google Chrome Developer Relations presents a practical decision framework for selecting generative AI models for projects, comparing options available today and guiding teams on matching model capabilities to project needs. The talk focuses on when to use specific models and, crucially, when not to use them, to avoid choosing the wrong tool despite abundant choices.
AI-written summary · about
chapters (9)
- 0:00Introduction
- 1:25Project goals and constraints
- 5:36Data quality and needs
- 9:33AI model types
- 15:30Client vs server processing
- 17:40Browser AI APIs
- 21:54Model performance
- 27:21AI agents and tools
- 34:49Recap and next steps
related talks
29mGenerative AI: A Google Perspective
26mGenerative AI: Productivity or Threat for Developers
29mWhen to Gen AI? A strategic framework for real-world AI adoption
44mKeynote: Tracking the Pulse of Generative AI
29mGenerative AI: Path to Value in practice
44mKeynote: Tracking the Pulse of Generative AI
01h 01mBuilding Generative AI Applications in Go- Gari Singh, Google (Part 1)
17mGenerative AI: Keeping it real