Gain a solid understanding of the fundamental concepts, tools, and techniques of artificial intelligence and machine learning, empowering software engineers to build intelligent and innovative applications.
From this track
Foundation Models for Recommenders: Challenges, Successes, and Lessons Learned
Recommender systems are an integral part of most products nowadays and are often a key driver of discovery for users of the product.
Moumita Bhattacharya
Senior Research Scientist @Netflix, Previously @Etsy, Specialized in Machine Learning, Deep Learning, Big Data, Scala, Tensorflow, and Python
How to Unlock Insights and Enable Discovery Within Petabytes of Autonomous Driving Data
For autonomous vehicle companies, finding valuable insights within millions of hours of video data is essential yet challenging.
Kyra Mozley
Machine Learning Engineer @Wayve
AI for Food Image Generation in Production: How & Why
In this talk, we will conduct a technical overview of a client-facing Food Image Generation solution developed at Delivery Hero.
Iaroslav Amerkhanov
Senior Data Scientist @Delivery Hero
Deploy MultiModal RAG Systems with vLLM
While text-based RAG systems have been everywhere in the last year and a half, there is so much more than text data. Images, audio, and documents often need to be processed together to provide meaningful insights, yet most RAG implementations focus solely on text.
Stephen Batifol
Developer Advocate @Zilliz, Founding Member of the MLOps Community Berlin, Previously Machine Learning Engineer @Wolt, and Data Scientist @Brevo
