EP. 269 The Secret to Trustworthy AI: "Fuzzing" Your Models with Haize Labs' Co-founder

The MongoDB Podcast
12/08/2025 1h 3min Temporada 1 Episodio 269

Listen "EP. 269 The Secret to Trustworthy AI: "Fuzzing" Your Models with Haize Labs' Co-founder"

Descargar episodio Ver en sitio original

Episode Synopsis

How do you test a GenAI application that's constantly changing? In this episode, Shane talks to Leonard Tang, co-founder of Haize Labs, about why traditional testing fails for LLMs and how to adopt a new evaluation strategy. Leonard introduces "fuzzing"—a powerful technique for discovering edge cases, improving reliability, and building AI you can actually trust. He also gives a live demo of the Haize Labs platform, so be sure to watch the video version on YouTube or Spotify to see it in action.

More episodes of the podcast The MongoDB Podcast

EP. 271 The "Vibe Coding" Controversy: What Devs Are Getting Wrong About AI 25/09/2025
EP. 270 Cisco’s Approach to Developing and Governing AI Agents 27/08/2025
EP. 268 How to turn chaos into opportunity 30/07/2025
EP. 267 Full Stack AI: Building with MongoDB, Deno, and Next.js 12/06/2025
EP. 266 How MongoDB Scales Atlas & Reduces Cost 22/05/2025
EP. 265 AI for Happier Teams: L10's Real-Time Feedback Revolution 16/05/2025
EP. 264 Beyond the Database: Mastering Multi-Cloud Data, AI Automation & Integration (feat. Peter Ngai, SnapLogic) 01/05/2025
EP. 263 Building Agents with Natural Language with guest 25/04/2025
EP. 262 Solving Unstructured Data Challenges with AI & Vector Search 16/04/2025
EP.261 Building Next-Gen AI E-Commerce with Storecraft & MongoDB | Live Code Demo 01/04/2025
© 2003-2025 ZARZA | AHEAD OF OUR TIME
privacy policy
In God we trust In God we trust
PreSales Questions? Click Here
or call our toll-free line at +1-888-5002068 Miami, Florida, USA