In our panel session, we’ll dissect the complexities inherent to responsibly leveraging Generative AI in the midst of an escalating ML arms race. We’ll probe into the ethical implications of large-scale AI experiments and the ongoing parameter wars, weighing the computational demand against potential fallout. As AI regulation efforts globally accelerate, we’ll discuss their influence on deep learning trajectories and …

In this talk, we will provide real-world examples of how data-centric AI is being used to solve complex problems at Ally. We will dive deep into an innovative use of data-centric AI, specifically using Generative AI and LLMs to set up Conversational AI for Ally Auto customers. Overall, this talk will provide insights into how data-centric AI can be used …

While generative models are able to produce synthetic datasets that preserve the statistical qualities of the training dataset without identifying any particular record in the training dataset, most generative models to date do not offer mathematical guarantees of privacy that can be used to facilitate information sharing or publishing. Without such mathematical guarantees, each adversarial attack on these models and …

A look at the highlights of day one and winners of the poster competition announced.

Data and machine learning (ML) are crucial for enterprise operations. Enterprises store data in databases for management and use ML to gain business insights. However, there is a mismatch between the way ML expects data to be organized (a single table) and the way data is organized in databases (a join graph of multiple tables). Current specialized ML libraries (e.g., …

Today, large language or Foundation Models (FMs) represent one of the most powerful new ways to build AI models; however, they still struggle to achieve production-level accuracy out of the box on complex, high-value, and/or dynamic use cases, often “hallucinating” facts, propagating data biases, and misclassifying domain-specific edge cases.  This “last mile” problem is always the hardest part of shipping …

In this panel, seasoned experts Julien, Ed, and Travis will delve into how open-source models and tools can revolutionize AI. Julien will shed light on projects like Big Science and explore how open-source projects can lead to a more adaptable AI stack, empowering developers to create use-case-specific solutions. With his vast experience in deploying and monitoring AI systems, Ed will …