Chroma Research Generative Benchmarking Information Center
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Last Updated: June 6, 2026
Video Highlights & Reports
Below is a handpicked selection of video coverage regarding Chroma Research Generative Benchmarking.
Chroma Research - Generative Benchmarking
Generative Evals for benchmarking embedding models
How to look at your data — Jeff Huber (Chroma) + Jason Liu (567)
Long Live Context Engineering - with Jeff Huber of Chroma
Overview to Chroma Research Generative Benchmarking
In traditional software systems, evaluation typically relies on deterministic logic: given a fixed input, the output is known and ... If you're struggling to evaluate embedding models for your retrieval systems, this talk by Kelly Hong from By the end of this talk, you'll understand what it takes to apply clustering techniques and data analysis to understand what is the ... Large language models have transformed the way we build software systems. In our latest Want to play with the technology yourself? Explore our interactive demo → Learn more about the ... In the 75th session of Multimodal Weekly, we had two exciting presentations on
In this video, we break down Vector Databases — the hidden engines behind modern AI and LLM-powered apps like ChatGPT, ... That new model claiming "state-of-the-art" on public Why do so many AI projects feel more like alchemy than engineering? Jeff Huber, the founder and CEO of Stop guessing with your AI prompts! Join me, Martin Omander, as I give you a clear "prompt ops" framework to test, You've built your RAG prototype. Now your team wants to ship it to 100000 users and you're staring at three vector databases ... Don't miss out! Join us at our next Flagship Conference: KubeCon + CloudNativeCon events in Amsterdam, The Netherlands ...
Disclaimer:
![Generative Benchmarking: Measuring AI Models Beyond Accuracy [Kelly Hong] - 728](https://i0.wp.com/ytimg.googleusercontent.com/vi/3kbiGPn0cOo/mqdefault.jpg?resize=320,180)
