AI Engineer

LLM Safeguards: Security Privacy Compliance Anti Hallucination: Daniel Whitenack

Cooking with fire without burning down the kitchen: Dominik Kundel

E-Values Evaluating the Values of AI: Sheila Gulati and Nischal Nadhamuni

Hiring & Building an AI Engineering Team: Dr. Bryan Bischof

RAG for VPs of AI: Jerry Liu

AI Platform Engineering: Patrick Debois

The podcast explores the organizational impact and implementation of GenAI, particularly focusing on the roles of AI engineers and platform teams. It addresses the friction between data science teams and traditional application developers when integrating GenAI into production, advocating for a platform approach to pro...

Real ROI: Lessons from Enterprises that have already succeeded with LLMs at Scale: Raza Habib

Understanding AI Stakes to Break Production Code: Philip Rathle

The ROI of AI: Why you need Eval Framework - Beyang Liu

AI Frontiers in Trust and Safety Combatting Multifaceted Harm on Tinder at Scale: Vibhor Kumar

Enhancing Quality and Security in CI: Gunjan Patel

Iterating on LLM apps at scale Learnings from Discord: Ian Webster

Decoding Mistral AI's Large Language Models: Devendra Chaplot

The AI emperor has no DAUs why most devs still don't use code AI: Quinn Slack

A Practical Guide to Efficient AI: Shelby Heinecke

Moondream: how does a tiny vision model slap so hard? — Vikhyat Korrapati

Navigating RAG Optimization with an Evaluation Driven Compass: Atita Arora and Deanna Emery

How Zapier Builds AI Products and Features with the Help of Braintrust: Ankur Goyal & Olmo Maldonado

What It Actually Takes to Deploy GenAI Applications to Enterprises: Arjun Bansal and Trey Doig

Knowledge Graphs & GraphRAG: Techniques for Building Effective GenAI Applications: Zach Blumenthal