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Making AI Work: Fine-Tuning, Inference, Memory | Sharon Zhou, CEO, Lamini
Manage episode 447105126 series 3611124
Matt Turck에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Matt Turck 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.
In this episode, we reconnect with Sharon Zhou, co-founder and CEO of Lamini, to dive deep into the ever-evolving world of enterprise AI.
We discuss how the AI hype is evolving and what enterprises are doing to stay ahead, break down the different players in the Inference market, explore how Memory Tuning is reducing hallucinations in AI models, the role of agents in enterprise AI, and the challenges of making them real-time and reliable.
Lamini
Website - https://www.lamini.ai
Twitter - https://x.com/laminiai
Sharon Zhou
LinkedIn - https://www.linkedin.com/in/zhousharon
Twitter - https://x.com/realsharonzhou
FIRSTMARK
Website - https://firstmark.com
Twitter - https://twitter.com/FirstMarkCap
Matt Turck (Managing Director)
LinkedIn - https://www.linkedin.com/in/turck/
Twitter - https://twitter.com/mattturck
(00:00) Intro
(02:18) The state of the AI market in July, 2024
(10:51) What is Lamini?
(11:43) What is Inference?
(15:36) GPU shortage in the enterprise
(18:06) AMD vs Nvidia
(22:10) What is Lamini's final product?
(25:30) What is Memory Tuning?
(29:01) What is LoRA?
(32:39) More on Memory Tuning
(35:51) Sharon's perspective on AI agents
(40:01) What is next for Lamini?
(41:54) Reasoning vs pure compute in AI
62 에피소드
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