Our first-ever Generative AI Summit has passed, and it was a rousing success. Over the course of the day, over 3500 people tuned in to learn about generative AI, its uses, how to build applications, and the discourse around the topic. There were two tracks during the event, and you can watch them on demand whenever you want. See Stage 1 here and Stage 2 here.
Here are a few sessions that got the most engagement and positive feedback from attendees.
Generative Adversarial Networks 101
Daniel Voigt Godoy | Data Scientist and Author of Deep Learning with PyTorch Step-by-Step
Learn the basics of Generative Adversarial Networks, the famous GANs, from the ground up: autoencoders, latent spaces, generators, discriminators, GANs, DCGANs, WGANs, and more. The main goal of this session is to show you how GANs work: we will learn about latent spaces and how to use them to generate synthetic data while discussing implementation and training details, such as Wasserstein distance and gradient penalty. We will use Google Colab and work our way together into building and training GANs. You should be comfortable using Jupyter Notebooks and Numpy, and training simple models in PyTorch.
Pretrain Vision and Language Foundation Models on AWS
Emily Webber | Principal Machine Learning Specialist Solutions Architect | AWS
Whether they are intimidating or exciting, high performant or expensive, the future of machine learning and artificial intelligence is clearly trending towards foundation models. In this session we’ll dive into this topic, exploring both beneficial and challenging aspects of this technology today. In particular, we’ll learn about key technologies available on AWS that help you pretrain the foundation models of the future. From distributed training to custom accelerators, reward modeling to reinforcement learning, learn how to create your own state-of-the-art models.
Read a recap of our recent interview with Emily here.
Generative AI with Hugging Face
Julien Simon | Chief Evangelist | Hugging Face
Generative AI is a rapidly growing field, but it can be shrouded in mystery and jargon, making it difficult for non-technical professionals to understand. This talk aims to demystify generative AI and introduce you to building generative AI models and applications with Hugging Face open-source solutions. By the end of this talk, you will better understand how generative AI works and how it can be applied in various industries, such as marketing and customer service. They will also have a high-level understanding of the underlying models, which will enable them to make more informed decisions about using generative AI in their businesses.
Unlocking the Power of Generative AI with MosaicML
Hagay Lupesko | VP Engineering | MosiacML
Generative AI has taken the world by storm; however, challenges with technical complexity, security, and cost have limited its adoption by many organizations. In this session, we will explore how MosaicML’s full-stack platform for generative AI makes it easy and efficient for developers to build and deploy models in a secure environment. We will look deeper into real-world examples of how businesses use their proprietary data to train and deploy LLMs and other generative AI models with MosaicML.
The MLOps stack in a Gen-Ai world
Yuval Fernbach | Co-founder & CTO | Qwak
As companies continue to embrace GenAI models, streamlining ML pipelines and productionizing models becomes crucial to make GenAI models work for you as a business. If your models are doing great in experimentation but you are still trying to put all the production pieces together, This session might help you understand what’s going wrong and how to fix it.
In this session, you’ll learn how to:
– Maintain a centralized production-focused model registry
– Monitor and track your Gen AI models in your production environment
– Enhance your Gen AI capabilities and accuracy in a continuous manner during production
If you want to watch these sessions live, then be sure to click the links above to watch the entire Generative AI Summit on-demand, whenever you want, on the ODSC YouTube channel.
If live training is more your thing, then be sure to check out ODSC West this October 30th to November 2nd. At this event, we’ll have plenty of talks devoted to generative AI, both in-person in San Francisco or virtually from wherever you are. We’ll even have an entire track solely devoted to generative AI, large language models, and prompt engineering. Sign up for our newsletter to be the first to know about all ODSC West updates, including generative AI sessions as they’re confirmed!