

AI Agents That Matter with Sayash Kapoor and Benedikt Stroebl - Weaviate Podcast #104!
7 snips Sep 18, 2024
Sayash Kapoor and Benedikt Stroebl, co-first authors from Princeton Language and Intelligence, discuss their influential paper on AI agents. They explore the crucial balance between performance and cost in AI systems, emphasizing that amazing responses mean little if they are too expensive to produce. The duo introduces the DSPY framework to optimize accuracy and costs and debates the adapting challenges of AI benchmarks in dynamic environments. They also highlight the importance of human feedback in enhancing AI reliability and performance.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Intro
00:00 • 4min
Optimizing AI Performance: Cost and Accuracy Trade-offs
04:11 • 23min
Understanding Novel QA and AI Agent Benchmarks
27:37 • 4min
Evaluating AI Benchmarks in Dynamic Environments
31:48 • 15min
Navigating AI Reliability and Human Feedback
46:59 • 9min
Exploring Reliability and Adaptability in AI Language Models
55:49 • 5min