
Charles Frye
Transform your NLP Pipelines
with W&B
Request VideoThis webinar featured:
* Best practices on reproducible, organized, and effective NLP
* What a neural network thinks of your
twitter feed
* Contemporary NLP with pre-trained attention-based models
* Features like metric logging, hyperparameter optimization, and artifact tracking

Stacey Svetlichnaya
Collaborative ML for
Sustainability & AI Safety
Request VideoIn this session DL engineer, Stacey Svetlichnaya talked about:
* How to filter, sort and group metrics interactively in the W&B dashboard
* Sharing results with team members through reports
* W&B benchmarks: SafeLife, DeepForm, DroneDeploy & others

Stacey Svetlichnaya
Applied Computer Vision:
The View from the Driver’s Seat
Request VideoIn this session DL engineer, Stacey Svetlichnaya talked about:
* Central self-driving subproblems such as semantic segmentation and object detection
* How reports let you organize your work, describe findings, and share updates with colleagues
* Insights applicable to other domains such as medical imaging, satellite data, microscopic slides and more

Chris Van Pelt
Versioning data and models
with W&B Artifacts
Request VideoRewatch how the audience joined Chris in his live Colab workspace to version datasets in a W&B managed project. You will learn about:
* Securely recording every version of a dataset
* How entire datasets are stored in Artifacts
* Achievement of rich analysis and governance of your models
UPCOMING LIVE SESSION
Register now!Scott Condron, ML Engineer
December 16, 10 AM PT / 7 PM CET
Making collaboration in ML easier
Bask in that glory when you finally beat your best-performing model. Shout it from the rooftops and pin a link to your team's project in every Slack channel!
In this talk, Scott will go over how to use W&B within your teams to share, collaborate and organize your Machine Learning projects!

Chris Van Pelt, W&B
Markus Weber, NVIDIA
NVIDIA Base Command x W&B
Request VideoIn this webinar guest speaker Markus Weber, Sr. Marketing Manager at NVIDIA and Chris Van Pelt, co-founder of Weights & Biases discussed:
* What NVIDIA Base Command Platform is, & why NVIDIA built it
* How it can be used to increase productivity of AI developers & researchers
* How W&B seamlessly adds capabilities to enhance MLOps workflows by effortlessly visualizing, debugging, analyzing and reporting model performance