Generative Benchmarking with Kelly Hong - #728
In this episode, Kelly Hong, a researcher at Chroma, joins us to discuss "Generative Benchmarking," a novel approach to evaluating retrieval systems, like RAG applications, using synthetic data. Kelly explains how traditional benchmarks like MTEB fail to represent real-world query patterns and how embedding models that perform well on public benchmarks often underperform in production. The conversation explores the two-step process of Generative Benchmarking: filtering documents to focus on relevant content and generating queries that mimic actual user behavior. Kelly shares insights from applying this approach to Weights & Biases' technical support bot, revealing how domain-specific evaluation provides more accurate assessments of embedding model performance. We also discuss the importance of aligning LLM judges with human preferences, the impact of chunking strategies on retrieval effectiveness, and how production queries differ from benchmark queries in ambiguity and style. Throughout the episode, Kelly emphasizes the need for systematic evaluation approaches that go beyond "vibe checks" to help developers build more effective RAG applications. The complete show notes for this episode can be found at https://twimlai.com/go/728.

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Interactive Machine Learning Systems with Alekh Agarwal - TWiML Talk #17

Interactive Machine Learning Systems with Alekh Agarwal - TWiML Talk #17

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31 Mars 201730min

Machine Learning in Cybersecurity with Evan Wright - TWiML Talk #16

Machine Learning in Cybersecurity with Evan Wright - TWiML Talk #16

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Domain Knowledge in Machine Learning Models for Sustainability with Stefano Ermon - TWiML Talk #15

Domain Knowledge in Machine Learning Models for Sustainability with Stefano Ermon - TWiML Talk #15

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17 Mars 201754min

Scaling Deep Learning: Systems Challenges & More with Shubho Sengupta — TWiML Talk #14

Scaling Deep Learning: Systems Challenges & More with Shubho Sengupta — TWiML Talk #14

This week my guest is Shubho Sengupta, Research Scientist at Baidu. I had the pleasure of meeting Shubho at the Rework Deep Learning Summit earlier this year, where he delivered a presentation on Syst...

10 Mars 20171h 12min

Understanding Deep Neural Nets with Dr. James McCaffrey - TWiML Talk #13

Understanding Deep Neural Nets with Dr. James McCaffrey - TWiML Talk #13

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Brendan Frey - Reprogramming the Human Genome with AI - TWiML Talk #12

Brendan Frey - Reprogramming the Human Genome with AI - TWiML Talk #12

My guest this week is Brendan Frey, Professor of Engineering and Medicine at the University of Toronto and Co-Founder and CEO of the startup Deep Genomics. Brendan and I met at the Re-Work Deep Learni...

24 Feb 20171h

Hilary Mason - Building AI Products - TWiML Talk #11

Hilary Mason - Building AI Products - TWiML Talk #11

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25 Jan 201717min

Francisco Webber - Statistics vs Semantics for Natural Language Processing - TWiML Talk #10

Francisco Webber - Statistics vs Semantics for Natural Language Processing - TWiML Talk #10

My guest this time is Francisco Webber, founder and General Manager of artificial intelligence startup Cortical.io. Francisco presented at the O’Reilly AI conference on an approach to natural language...

3 Dec 201649min

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