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Jeff Huber

5 statements across 1 episodes · 3 bullish · 0 bearish · 1 people on the record · first statement Jun 28, 2023 by Jeff Huber · across every show →

On the record as a speaker too: Jeff Huber's record, appearances and statements → this page counts the times other people say the name.

Everything said about Jeff Huber, oldest first

Jun 28, 2023 positive
Prediction Not checkable as stated
Huber: AI-native databases will be much thicker than traditional databases
“We think the database will be, like, much thicker than it's been before.”
Jeff Huber Jun 28, 2023 ▶ 22:31 Why Vector Databases Are Exploding: Chroma Co-Founder Jeff Huber on Building AI-Native Infra
Jun 28, 2023 bullish
Prediction Not checkable as stated
Huber: 'Chat Your Data' AI Use Case Will See Mass Adoption
“So I think that use case, even just the Chat Your Data use case, truly will go to the ends of the earth.”
Jeff Huber Jun 28, 2023 ▶ 17:32 Why Vector Databases Are Exploding: Chroma Co-Founder Jeff Huber on Building AI-Native Infra
Jun 28, 2023 positive
Prediction Not checkable as stated
Huber: Multimodal models will run directly inside application code and databases
“There'll be language models running inside the application code, obviously, language models running inside the database as well or large models more broadly, multimodal models will run, you know, everywhere as well.”
Jeff Huber Jun 28, 2023 ▶ 23:02 Why Vector Databases Are Exploding: Chroma Co-Founder Jeff Huber on Building AI-Native Infra
Jun 28, 2023 neutral
Assertion Supported
Huber: Steering LLMs at embedding layer is not exposed in closed-source models
“So, there's lots of stuff around steering language models at the embedding layer itself, and not using text but this is not yet exposed To at least closed source models, so.”
Jeff Huber Jun 28, 2023 ▶ 19:55 Why Vector Databases Are Exploding: Chroma Co-Founder Jeff Huber on Building AI-Native Infra
Jun 28, 2023
Disclosure
Huber: Chroma is building density detection for vector space retrievals
“One of the things that we've been working on is this idea of query relevancy or density. So given retrievals, From vector space, given the search. We can say whether it came from a sparse or dense part of the embedding space.”
Jeff Huber Jun 28, 2023 ▶ 25:50 Why Vector Databases Are Exploding: Chroma Co-Founder Jeff Huber on Building AI-Native Infra
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