E181: Why Multimodal Is The Future Of AI Data Workloads Open Source Startup podcast

A tartalmat a Robby (MTF); Tim (Essence VC) biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Robby (MTF); Tim (Essence VC) vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

Open Source Startup Podcast »
E181: Why Multimodal Is the Future of AI Data Workloads

13d ago 36:31

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MP3•Epizód kép

Chang She is Co-Founder & CEO of LanceDB, the multimodal lakehouse platform. Their open source data format lance has over 5K stars on GitHub and is a modern columnar data format for ML and LLMs implemented in Rust.

LanceDB has raised $41M from investors including Theory Ventures, CRV, and Essence VC.

In this episode, we dig into:

Early focus: autonomous vehicles; solved real-time analysis limits with Lance format → 9,000% performance gain.
Multi-modal AI taking off (vision, audio, text); Midjourney & Runway as pioneers; audio now a major category.
How they built trust through open source.
Integrated workflows (data prep + search + embedding) going beyond vector DBs; education needed to show full value.
Cloud/serverless launch in 2023–24 enabled seamless local-to-production use.
Future bets: audio infra, robotics, spatial reasoning; vector DBs risk irrelevance if they don’t evolve.

181 epizódok

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