The Blueprint For AI Agents That Work (ft Diamond Bishop) - Ep 45
AI Summary
This video is an episode of Tool Use featuring Diamond Bishop, Director of Engineering and AI at DataDog, discussing AI agents and building AI teammates. Diamond shares his extensive experience working on AI assistants like Cortana and Alexa, and now leading AI agent development at DataDog with their product Bits AI, which helps DevSecOps teams debug and automate tasks. Key topics include the importance of human-in-the-loop design for trust and safety, how to architect agents with observability and evaluation in mind, prompt engineering vs fine-tuning, data set management for AI eval and training, and future directions for autonomous, self-improving AI systems. Diamond emphasizes starting with simple, repetitive tasks for AI agent development and keeping humans informatively involved to build trust. The episode also covers emerging trends like local vs cloud models for privacy, hybrid agent workflows, and the importance of customization in AI tools to fit user needs. The discussion concludes on techno-optimism and the potential to leverage AI and technology for significant societal improvements.