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Foundation Models offer a new paradigm for machine learning. As OEMs transition from intense R&D to scaled production for advanced self-driving systems, Foundation Models will be the key to achieving safety and efficiency. Scale's Automotive Foundation Model is the next evolution of the Automotive Data Engine -- empowering teams to deliver advanced computer vision capabilities for autonomous vehicles to safely perceive and navigate complex environments. In this talk, Sean Hendryx, Engineering Manager, Machine Learning at Scale AI, will share how Scale is delivering the most advanced computer vision technology to accelerate the development of autonomous vehicles.

Scale and BCG share their Blueprint to AI, and lessons learned from implementing Generative AI for the world’s largest enterprises. Padma Elmgart, Chief Technology Officer at Global Atlantic Financial Group joins to share her company’s journey implementing Generative AI across a large organization and how they are using Scale GenAI Platform to scale up use cases in 2024.

A panel discussion featuring Dr. Jane Pinelis, Chief AI Engineer, The Johns Hopkins University Applied Physics Laboratory, Dr. Benjamin Jensen, Senior Fellow for Future War, Gaming, and Strategy, CSIS, and Eleanor Runde, Policy Advisor, Office of the Secretary, Department of Commerce, moderated by Dan Tadross, Head of Delivery, Federal, Scale AI. This panel will take you on an expedition evaluating the current landscape of AI Trust & Safety, what trust and safety really means within the federal government, and the methods currently used to facilitate it.

A Fireside Chat between Alex Levinson, Head of Security for Scale AI and Will Gamble, Director & AGC of Federal for Scale AI, on A Red Team Approach to AI Security.

Understanding the capabilities, risks, and vulnerabilities of large language models is critical to ensuring the safety of these models. Join Scale as we discuss our vision for what an effective and comprehensive test and evaluation (“T&E”) regime for LLMs should look like moving forward, how that leverages human experts, as well as how we aim to help service this need with our new Scale LLM Test & Evaluation offering.

About the Tech Talk The explosive growth of AI chatbots powered by large language models (LLMs) has introduced millions to prompt engineering — writing, evaluating, and optimizing natural language prompts to coax an LLM to complete a task. Join Riley Goodside, Staff Prompt Engineer at Scale AI, as he explores the origins of prompt engineering and how it evolved alongside models, from pre-trained LLMs to instruction tuning to RLHF. He explores the effects of limited context windows in LLMs, how these limitations are addressed today, and the potential of “long context” LLMs.

Every enterprise has the opportunity to capture massive productivity gains with Generative AI. Foundation models are immensely powerful and necessary but fall short of sufficient to deliver on this promise. In this tech talk, Scale’s CPTO, Arun Murthy, will walk you through the technologies, architecture and workflows necessary to realize the value of Generative AI applications for your enterprise.

In this talk, we'll discuss the results of the Scale Zeitgeist: AI Readiness Report. Scale’s AI Readiness Report is a survey of more than 1,700+ ML practitioners and Leaders on the challenges and best practices with building and adopting AI applications. The report explores the impact of large generative models such as LLMs, as well as examining every stage of the ML lifecycle from data and annotation to model development, deployment, and monitoring. The goal of the report is to empower organizations and ML practitioners to learn and implement best practices and unlock the full potential of AI for every business. Vijay Karunamurthy, Field CTO at Scale, hosts a panel discussion discussing the results of the report and best practices to apply these findings as companies look to build and work with ML, including best practices on RLHF and fine-tuning large models. The panel features: Sri Viswanath, General Partner at Coatue Benny Du, Senior Manager at Accenture Bihan Jiang, Product Manager at Scale Fernando Amat Gil, Senior Staff Machine Learning Research Engineer