What to Pack for Your GenAI Adventure
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A Google product manager shares insights from building GenAI products, explaining how traditional product management skills remain valuable while highlighting new requirements. Key topics include selecting appropriate model sizes based on cost and quality tradeoffs, creating evaluation criteria and datasets for AI outputs, implementing data-driven development cycles with human raters, and addressing trust, safety, and privacy concerns. The presentation uses the development of Google Assistant's Summarize feature as a case study, demonstrating practical approaches to prompt engineering, model selection, and quality assessment in generative AI product development.
Table of contents
TranscriptMy GenAI Creation JourneyTraditional Product Management Tools are Still UsefulActivity - Selecting the Right GenAI StackRequirements to Select the Right GenAI StackThe Data-Driven Development LifecycleRisk Assessment for GenAIConclusionQuestions and AnswersSort: