Compound AI Systems Workshop

June 13th, 2024 in San Francisco at Data + AI Summit

Developers are increasingly constructing Compound AI Systems, i.e. systems that use multiple model calls and/or external components, to tackle the most challenging AI tasks. These systems can often outperform models alone, but the best way to design these systems and the components that go into them (e.g., retrievers and tools) is still an open problem.


This workshop will gather researchers working in this emerging area to investigate questions such as: 

Attending the Workshop

The inaugural workshop event will be co-located with the Databricks Data + AI Summit and hosted at the Moscone Center in San Francisco, on June 13th from 11:30am - 6pm PDT.

Select Invited Speakers and Panelists (others pending)

Richard Socher

You.com

Monica Lam 

Stanford

Noam Brown

OpenAI

  Thang Luong

 DeepMind

Organizers

      Matei Zaharia

UC Berkeley / Databricks


    Michael Carbin

MIT / Databricks


Jared Quincy Davis

Foundry / Stanford

   James Zou

Stanford


  Yoav Shoham

Stanford / AI21


  Deepti Raghavan

Stanford

  Heather Miller

CMU


   Barak Lenz

AI21


Keshav Santhanam

Stanford / Foundry

   Chris Potts

Stanford


Maithra Raghu

Samaya AI


  Omar Khattab

Stanford

   Philip Levis

Stanford


Lingjiao Chen

Stanford


   Liana Patel

Stanford

Important Dates and Deadlines

Schedule (June 13th 2024, 11:30am-6:00pm PDT)

Call for Extended Abstracts 


We are accepting submissions for extended abstracts (up to 2 pages). Authors with accepted submissions will be invited to present a poster and lightning talk at the workshop.

Abstract submission deadline: May 10th 2024

Submit your abstract: https://forms.gle/dMTmjhc2eAYvaRF77 (you must be signed into an email account to make a submission)

Acceptance notification date: May 15th 2024


Accepted Posters 


To Be Decided.

Registration Information

Please check back in soon about information on how to register for the event! Note that this event will be FREE