Reinventing Workplace Productivity through Personalized Foundation Models
, Senior Solution Architect, NVIDIA
, Director of Product Management, Dropbox
, Principal Machine Learning Engineer, Dropbox
Recent advancements in AI and machine learning have opened up a new world of possibilities, but many companies are drowning in petabytes of data and are struggling to deliver large language model (LLM) workflows and applications. Using a real-world use case, Dropbox will do a deep dive into how NVIDIA NeMo helped to accelerate and improve LLM-powered experiences in the Dropbox Dash universal search app. We'll highlight how we designed and built our AI services platform to deliver customized user experiences based on the fine-tuning capabilities of the LLMs and will present techniques on how enterprises and AI practitioners can build and deploy retrieval augmented generation (RAG) workflows quickly for intelligent enterprise applications. This session is essential for anyone wanting to understand how to use multimodal data for generating golden benchmark datasets using real user feedback.