Agenda

1:00

PM

Welcome and Opening Remarks

Lukas Biewald, CEO and Co-Founder at Weights & Biases

We’ll kick off Fully Connected 2023 with a keynote from W&B’s CEO and Co-founder Lukas Biewald. He’ll set the stage for the day and introduce a new product we think you’re going to love. 

1:15

PM

W&B Product Announcement

Shawn Lewis, CTO and Co-Founder at Weights & Biases

We’ve been hard at work building new features that will dramatically change how you train and productionize your models on Weights & Biases. Join us as our CTO Shawn Lewis demos two of our most requested–and most magical–features.

2:00

PM

Main Sessions

We’re currently finalizing the order of our early programming. We’ll be hearing from speakers from AWS, Langchain, NVIDIA, You.com, Nomic AI, and more. We’ll email you and update this page when our agenda is set in stone.

5:10

PM

Breakout Sessions

The second half of Fully Connected will be short, rapid-fire breakouts from some of the most innovative voices and companies in machine learning. We’re expecting speakers from Lightning AI, Run AI, Mosaic ML, Humane, AWS, Snowflake, Anyscale, Domino, fast.ai, and a whole lot more.

5:00

PM

Afterparty and Networking

Our last few hours will be completely devoted to networking, mingling, and getting to know likeminded ML practitioners. Drinks on us.

2:00

PM

TBA

Harrison Chase, Co-Founder & CEO at Langchain

2:15

PM

TBA

Richard Socher, Founder & CEO at You.com

2:30

PM

TBA

Jonathan Cohen, VP of Applied Research at NVIDIA

2:45

PM

Break Time

3:15

PM

TBA

Adrien Treuille, Head of Streamlit at Snowflake

3:30

PM

TBA

Rob Ferguson, Global Head of AI/ML for Startups and VC at AWS

3:45

PM

TBA

Chip Huyen, Founder & Ceo at Claypot AI

4:00

PM

TBA

Howie Liu, Co-Founder & CEO at Airtable

4:15

PM

TBA

5:10

PM

TBA

5:30

PM

Best Practices of W&B and Amazon Sagemaker

James Yi, AI/ML Tech Lead at AWS + Matt Hoffman, ML Engineer at Weights & Biases

Learn best practices for setting up Amazon Sagemaker with Weights & Biases MLOps platform. Quick demo will show how to setup experiment jobs, model monitoring, check model performance, identify best models in dashboard, and launching training jobs in Sagemaker.

5:40

PM

TBA

6:00

PM

Break Time

6:10

PM

TBA

6:20

PM

TBA

6:30

PM

TBA

6:40

PM

State of GPU Market for Deep Learning

Mitesh Agrawal, Head of Cloud at Lambda

This session provides a comprehensive overview of the current state of the Graphics Processing Unit (GPU) market, with a particular emphasis on their use in deep learning applications. The discussion will cover key topics including:
  • the current availability of GPUs
  • challenges in the supply chain, and
  • the implications of large-scale deployments.
With a rapidly evolving market, understanding these aspects is crucial for both practitioners and organizations aiming to leverage GPU power for their deep learning needs. Additionally, the session will explore the role of Lambda in addressing these challenges. Lambda’s solutions can provide effective strategies to navigate supply constraints, manage deployments, and ensure uninterrupted access to essential GPU resources, hence enabling organizations to sustain and enhance their deep learning capabilities. This session promises to bring valuable insights for anyone vested in deep learning, from researchers to industry professionals.

6:50

PM

TBA

Venkat Krishnamurthy, Head of ML Platform at Snowflake

6:40

PM

Using modern NLP to build a knowledge graph

Anthony Goldbloom, Co-Founder & CEO at Sumble; Co-founder & Former CEO at Kaggle

We are building a knowledge graph that takes unstructured data, does entity extraction, entity normalization, text summarization and text classification. We’re using everything from regex through to LLMs, always starting with the simplest solution first and working our way up to something more complex only when it’s necessary. In this talk I’ll go over our NLP use cases and talk about what’s working best.

7:10

PM

TBA

Hamel Husein, Independent Consultant / Founder

5:10

PM

The Science Behind MPT-7B, Our Open Source LLM

Hanlin Tang, Co-Founder & CTO at MosaicML

Last month, we open sourced MPT-7B, the first commercially licensed model in the LLaMa style, and variants including a long context length Storywriter model. In this talk, you’ll learn about the science behind training these LLMs, from how we determined the data mixture to our algorithmic decisions and evaluation. Hear about some amazing community projects built on the MPT series as we continue to push the frontier of open source models.

5:20

PM

Orchestrating and Tracking the Full AI Lifecycle: Training LLMs and Serving Inference

Robert Magno, Solutions Architect at Run:AI

Building a robust and secure AI infrastructure is crucial for enterprises aiming to leverage the power of artificial intelligence effectively. Run:ai, together with Weights and Biases, offer a comprehensive platform designed to address the unique challenges faced by IT, DevOps and Platform teams in building an end to end AI platform that ensures researchers have on-demand access to compute and the tools necessary to monitor their experiment progress.

5:30

PM

What is GPT-4 good for?

Ted Sanders, Member of Technical Staff at OpenAI

As a research engineer at OpenAI, I advise companies, from startups to Fortune 100, trying to build GPT into their products.

This talk will share my perspective on:

  • GPT’s #1 superpower
  • GPT’s #1 weakness
  • The #1 misconception about GPT
  • The #1 mistake teams make when building products atop GPT
  • The markets and applications I’m most excited by

5:40

PM

Accelerating AI Product Development with Lightning AI

William Falcon, Founder & CEO at Lightning.AI

Join us for an engaging community talk on Lightning AI, designed by the creators of PyTorch Lightning. Lightning AI is the platform to build foundation models, on your data, your cloud. Lightning expedites AI product development by providing a comprehensive suite of features to build, train, deploy, and ship AI products seamlessly.

During this talk, we will explore how Lightning AI simplifies and streamlines the entire AI development process. By enabling distributed training, hyperparameter tuning and autoscaling at the click of a button, the Lightning platform empowers developers to focus on their models and ideas rather than dealing with the underlying infrastructure.

Through real-world examples and use cases, we will demonstrate how the Lightning Platform significantly reduces the time and effort required to build and deploy AI products. Whether you are a researcher, data scientist, or AI enthusiast, this talk will equip you with the knowledge and tools necessary to accelerate your AI development workflow and maximize productivity.

Join us for an insightful session filled with valuable insights, practical tips, and a glimpse into the future of AI development.

5:50

PM

TBA

Davit Buniatyan, Founder at Activeloop

6:00

PM

Break Time

6:10

PM

TBA

Robert Nishihara, Co-Founder & CEO at Anyscale

6:30

PM

Towards Explainable and Accessible AI

Brandon Duderstadt, Founder & CEO at Nomic AI

Nomic’s mission is to improve the explainability and accessibility of AI. In this talk, we will examine what it means for a model to be explainable and accessible, as well as strategies for finding and resolving model errors using the methods of information cartography. We will close by remarking on the short term risks posed by inaccessible AI models.

6:40

PM

TBA

7:00

PM

TBA

© 2023 Weights & Biases.
© 2023 Weights & Biases.