Large Action Models

Infinite Curiosity Pod with Prateek Joshi

Prateek Joshi에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Prateek Joshi 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.

1y ago 30:52

MP3•에피소드 홈

Will Lu is the cofounder and CTO of Orby AI, an AI platform to automate people's repetitive tasks. He was previously the Head of Engineering at Google and a Systems Software Engineer at Nvidia.
Will's favorite book: Beyond Enterpreneurship (Authors: Jim Collins and William Lazier)
(00:01) Introduction
(00:07) History of RPA
(01:04) Building Blocks of RPA
(02:34) Drawbacks of Traditional RPA
(05:06) Introduction to AI-Native RPA
(06:38) Advantages of AI-Native RPA
(08:14) Defining Generative Process Automation (GPA)
(10:15) Explanation of Large Action Models
(11:47) Role of AI Agents in Process Automation
(13:11) Data for Building Large Action Models
(14:44) Benchmarking Large Action Models
(15:53) Risk Mitigation in AI-Native RPA
(17:44) Changing Roles in the RPA Industry
(19:14) Adoption of Agent Technologies
(21:03) ROI Measurement in AI-Native RPA
(23:05) Explainability in AI Systems
(24:25) Fast Adoption Teams in Enterprises
(25:15) Handling Unstructured Data
(26:12) Digital Organizations and Future Automation
(27:09) Exciting AI Breakthroughs
(28:03) Rapid Fire Round
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Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi