The Blueprint For AI Agents That Work (ft Diamond Bishop)

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Tool Use - AI Conversations

Mike Bird

65 episodes

1 day ago

The latest AI tools and strategies, featuring top builders, entrepreneurs, and researchers. Every Tuesday, get actionable knowledge about AI services that you can use today. - Conversations with AI builders and founders - Practical tips for applying AI immediately - Live demos of cutting-edge AI products - Deep dives into open-source projects Join us as we explore the rapidly evolving AI landscape and discover tools that transform productivity, creativity, and business. Subscribe now and stay ahead of the AI curve

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The Blueprint For AI Agents That Work (ft Diamond Bishop)

Tool Use - AI Conversations

36 minutes 47 seconds

4 months ago

The Blueprint For AI Agents That Work (ft Diamond Bishop)

Master the art of building AI agents and powerful AI teammates with Diamond Bishop, Director of Engineering and AI at Datadog. In this deep dive, we explore crucial strategies for creating self-improving agent systems, from establishing robust evaluations (evals) and observability to designing effective human-in-the-loop escape hatches. Learn the secrets to building user trust, deciding between prompt engineering and fine-tuning, and managing data sets for peak performance. Diamond shares his expert insights on architecting agents, using LLM as a judge for quality control, and the future of ambient AI in DevSecOps. If you're looking to build your own AI assistant, this episode provides the essential principles and practical advice you need to get started and create systems that learn and improve over time.

Guest: Diamond Bishop, Director of Engineering and AI at Datadog

Learn more about Bits AI SRE: https://www.datadoghq.com/blog/bits-ai-sre/

Datadog MCP Server for Agents: https://www.datadoghq.com/blog/datadog-remote-mcp-server/

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https://x.com/diamondbishop

00:00:00 - Intro

00:03:55 - When To Use an Agent vs a Script

00:05:44 - How to Architect an AI Agent

00:08:07 - Prompt Engineering vs Fine-Tuning

00:11:29 - Building Your First Eval Suite

00:26:06 - The Unsolved Problem in Agent Building

00:31:10 - The Future of Local AI Models & Privacy

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