In this talk, we'll discuss the results of the 2nd edition of Scale Zeitgeist: AI Readiness Report. Scale surveyed more than 1,600 executives and ML practitioners on the challenges and best practices of building and adopting AI. With this report, we help you look past the hype and explore the impact of generative models such as Large Language Models (LLMs), and how organizations can deploy AI for real business impact. Bihan Jiang, Product Manager at Scale will host a discussion with David Rokeach, VP of Enterprise AI at Scale, and Jonathan Rosenbluth, Director of Product Strategy at Cohere, to discuss the results of the report and best practices in adopting AI in the Enterprise.

Join Riley Goodside as he discusses Advanced Prompt Engineering and RLHF. Prompt engineering is the magic behind top-notch language model responses. A well-written prompt is crucial for avoiding off-topic, inconsistent, or offensive output. It's a challenging task that requires a nuanced understanding of how to talk to the models, with many research conferences and papers written on the best prompting techniques. During this webinar, you'll learn some of the most innovative prompting strategies.

We’ve all seen significant changes in NLP in the last few years, as models have moved from highly-supervised, recurrent structures into transformers and large-scale, unsupervised models. Now, with the use of LLMs at an all-time high, we have to ask the question – has computer vision stagnated? Join Nate Harada (creator of open-source toolkit Moonshine, perception at Waymo and Cruise) along with moderator Noah Gale (co-founder at Tribe AI) as they discuss the most exciting current developments in computer vision and where the field is headed, including: How we got here – Has computer vision stagnated? The landscape – What’s most exciting in CV right now? What’s coming – Where are the most exciting opportunities in CV? From startup to scale – How to think about investing in labeled data sets, structuring teams, and evaluating success at every stage

Tribe AI CEO Jacyln Rice Nelson interviews Brendan Ittelson, CTO at Zoom, covering Brendan’s career, innovation at scale, trends in digital communications, and – of course – how Zoom is using AI. This conversation details charting a career from technology into leading technical teams, how to build a resilient org in uncertain times, how simplicity enables scale, the role of company mission for a CTO, how Zoom is using machine learning, and what's next in the era of digital communications.

Understanding the contents of a large corpus of text, like customer reviews or tweets, is a frequently encountered challenge and a significant ML research undertaking. One approach to tackling this problem is topic modeling. We experience it daily - from trending topics on Twitter to key topics in Amazon's product reviews. In this talk, Prem presents a survey of influential methods like LDA and NMF. He then compares them to recent advances in large language models that began with transformers and showcases techniques to apply them, their effectiveness in tackling this problem, and the challenges that come with them. Prem Viswanathan is a member of Tribe AI, a collective of 250+ engineers and data scientists from industry leaders in AI. He’s also the the Co-Founder & CTO of SwiftCX - an intelligent automation platform for customer teams. Prem also serves as an adjunct faculty at Carnegie Mellon University, Pittsburgh. Previously, he was the Director of ML at Artifact.io, a SaaS startup, where he led applied ML research and engineering in NLP. His research focus is on NLP/NLU and Knowledge Graphs. Prem has over ten years of experience in Machine Learning and building ML-infused products at IBM and AWS. More recently, at AWS, he worked alongside Marinus AI, an AI startup that tackles and disrupts human trafficking, to develop a knowledge graph-powered solution to assist and speed up missing person investigations by 4x.

In this article you'll learn: - How Long Ouyang and his team at OpenAI trained InstructGPT to follow human instructions - How fine-tuning with reinforcement learning from human feedback can produce better results with less data at a lower cost - How alignment can unleash untapped potential in existing models

Dave Marra leads AI and Mixed Reality initiatives at Microsoft. As a solutions-focused leader, he's dedicated to leveraging developments in ML technology to revolutionize the productivity of the most technologically underserved segment of the population-the frontline workers. Dave is focused on connecting modern day productivity tools to the people that actually use the tools: soldiers, facility workers, and a range of technicians. In this talk observe why Dave challenges the notion of a paradigm shift away from hardware to privilege software as he describes a deeply interdependent relationship between the two, and increased access and availability to hardware. AI Exchange will also host special guest, Mark Valentine, former US Air Force Commander, and General Manager of National Security at Microsoft, where Mark and Dave were colleagues. Hosted by Scale's Director of Machine Learning and Engineering, Elliot Branson, this is sure to be an unforgettable talk that will open our eyes to the ways AI can elevate the quality of life and productivity for everyday people performing the work that keeps our society running.

Leading organizations across every industry also need to be technology leaders, and today that means leveraging AI. Organizations applying AI don't necessarily have AI expertise, but they are prepared to leverage AI as a strategic asset for their innovation and product strategies. Many of these companies are looking for established use cases to supercharge their products, operations, and business lines. This is where pre-trained models create an opportunity for organizations without the resources and expertise build their own AI. Alexandr Wang, Scale’s CEO and Co-Founder, will outline how Scale’s product investments are helping all types of organizations and teams apply and create their own AI. Wang will also share how the latest advancements in AI allow next-generation models to be more versatile and attuned to specific business needs that weren’t possible before. He will explain why foundation models are the most exciting advancement happening in AI, and how Scale can help advance foundation models, especially as it applies to tuning these models to make them useful for specific tasks and industries including insurance, defense, logistics and many others. Wang founded Scale while a 19-year-old student to help companies build long-term AI strategies with the right data and infrastructure. Under his leadership, Scale has grown to be valued as a $7 billion company serving hundreds of customers across industries from finance to e-commerce to U.S. government agencies.