The AI Conference

Thank you so much to our attendees, sponsors, speakers, vendors and volunteers for making these past two days such a memorable experience! Hope to see everyone again next year! Check back to see even more amazing moments of #taic2024 and tag us in your posts to be featured! #TAIC2024 #techindustry

Looking back on some of our incredible sponsors! neptune.ai, Teammately, Hedera Thank you for making The AI Conference unforgettable! Your support truly elevated the experience for everyone involved. What AI innovation or insight caught your attention the most? For more updates visit our site at aiconference.com #TAIC2024 #innovators #sponsors #recap #ai

A couple months ago, Kùzu Inc. was at The AI Conference in #SanFrancisco, where we presented an overview, history and terminology of Graph RAG and Hybrid RAG (which combines vector + graph retrieval). For those who could not attend the session live, the recording has been kindly made available here by the organizers 👇🏽. https://lnkd.in/gajbbKUn In the talk, we unpacked some of the core ideas behind the recent paper "Hybrid RAG" by researchers at BlackRock and Nvidia, that combines vector and graph retrieval. We showcased a proposed workflow that can be built using Kùzu and the property graph data model. We discussed how and why a graph is beneficial, because it's able to provide additional context to an LLM for generating an answer. We also present a framework of thinking when conceptualizing and explaining the workflow for Graph/Hybrid RAG based on the BlackRock paper. For those who like to get their hands dirty with code, here's our GitHub repo that walks through the key steps using a combination of easy to use, open source, permissively licensed tools and frameworks: https://lnkd.in/gisiSieA If you're interested in getting started with using graphs, we encourage you to explore these ideas and try out the code! #graph #rag #kuzu #lancedb

DoorDash's Head of New Verticals ML/AI, Sudeep Das, spoke at the The AI Conference in San Francisco last month about how DoorDash is utilizing machine learning to venture into new verticals. Click here to learn more: https://lnkd.in/eUpxREFr

🌟 Thrilled to share my talk from The AI Conference, which I presented back in September! 🎤 💡 During my session on "ALLY: LLM-based Assistive Recommendation", I had the exciting opportunity to dive into a topic that I’m deeply passionate about: how LLMs combined with personalization are shaping the future of assistive recommendations for lifelong user journeys. 🔗 Check out the full talk here: https://lnkd.in/gk-yBUAa I’m proud of how this work contributes to more empowering and user-centric recommendation systems and would love to hear your thoughts! Huge thanks to my collaborators Alberto Lalama, CJ Adams, Iris Qu, Yifat Amir, Samer Chucri, Pierce Vollucci, Fabio Soldo, Dina Bseiso, Sarah Scodel, Lucas Dixon, Ed H. Chi and Minmin Chen without whom the work wouldn't have been possible. Thanks to The AI Conference and Shon Burton for giving me the opportunity to share our work in this wonderfully organized conference, and connect with amazing folks in the AI space! #AI #RecommenderSystems #LLMs #Personalization #TheAIConference #MachineLearning #NLP #UserExperience

Could neuroscience be the key to revolutionizing the way we build and deploy artificial intelligence? What if we could harness the brain's efficiency in current AI systems? 🧠 Catch the recording of our VP Marketing Christy Maver's talk at The AI Conference where she shares how neuroscience insights hold the potential to make today's #AI smarter, greener and more efficient than ever before. Watch here: https://lnkd.in/gbcV2Ffp

🌟 Thrilled to share my talk from The AI Conference, which I presented back in September! 🎤 💡 During my session on "ALLY: LLM-based Assistive Recommendation", I had the exciting opportunity to dive into a topic that I’m deeply passionate about: how LLMs combined with personalization are shaping the future of assistive recommendations for lifelong user journeys. 🔗 Check out the full talk here: https://lnkd.in/gk-yBUAa I’m proud of how this work contributes to more empowering and user-centric recommendation systems and would love to hear your thoughts! Huge thanks to my collaborators Alberto Lalama, CJ Adams, Iris Qu, Yifat Amir, Samer Chucri, Pierce Vollucci, Fabio Soldo, Dina Bseiso, Sarah Scodel, Lucas Dixon, Ed H. Chi and Minmin Chen without whom the work wouldn't have been possible. Thanks to The AI Conference and Shon Burton for giving me the opportunity to share our work in this wonderfully organized conference, and connect with amazing folks in the AI space! #AI #RecommenderSystems #LLMs #Personalization #TheAIConference #MachineLearning #NLP #UserExperience

Fireside Chat with Alfred Spector at the AI Conference https://lnkd.in/gzeHjh2m

Annie Pearl’s keynote at The AI Conference 2024 is now live! 🎥 Explore how we are transforming the startup ecosystem through Azure and driving AI innovation at every stage. Watch the full video here.

The talk I gave last month at The AI Conference on evaluating agents and assistants is now available. Whether you're deep into agent frameworks or just starting, there should be some good tips in here for you: https://lnkd.in/gvjfgqBT