How to Make Smart Architecture Decisions when Building Generative AI Apps

Explore architectural decisions and trade-offs for building reliable and performant generative AI applications in this conference talk from GOTO EDA Day 2024. Dive into the fundamentals of generative AI, factors driving model and tooling choices, techniques for enhancing safety and accuracy, and considerations for testing and optimizing. Examine real-life use cases to understand best practices and learn to identify suitable applications for generative AI. Gain insights on achieving fast, accurate, and safe generative AI implementations, with a focus on responsible AI principles. Equip yourself with the knowledge to make smart architecture decisions and unlock the full potential of generative AI in both proof-of-concept and large-scale production environments.

Intro
Generative AI
Use case 1
Objective 1: Fast
Objective 2: Accurate
Objective 3: Safe
Use case 2
Advice Summary
Outro