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

Robby (MTF); Tim (Essence VC)에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Robby (MTF); Tim (Essence VC) 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

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E181: Why Multimodal Is the Future of AI Data Workloads

27d ago 36:31

MP3•에피소드 홈

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 에피소드

#Tech #Robby (Cowboy VC) & Tim (Essence VC #Robby (Cowboy VC #Tim (Essence VC