From Notebooks to production with Flyte 1.14

This session will cover the major features that went live with the Flyte 1.14 release:

- Jupyter Notebooks integration: now you can consume Flyte, run workflows, and inspect the outputs from the comfort of your interactive notebook
- Better support for dataclass/Pydantic: with the adoption of a new serialization format, now it's easier than ever to work with Python dataclass and Pydantic BaseModel.
- Offloaded literals: Flyte now automatically offloads to blob storage large metadata objects
- What's coming in 1.15: you won't want to miss this!

About the Speakers
All 4 speakers in this session are Flyte maintainers so feel free to ask your deep questions!

**About Union.ai**
Union is an AI platform powered by Flyte that simplifies ML infrastructure so you can develop, deploy, and innovate faster.
Write your code in Python, collaborate across departments, and enjoy full reproducibility and auditability. Union lets you focus on what matters.

Learn more about the new release here: https://github.com/flyteorg/flytekit/releases/tag/v1.14.0

💬 Join our AI and MLOps Slack Community: https://slack.flyte.org/
⭐ Check out Flyte on GitHub: https://github.com/flyteorg/flyte
🤝 Learn about everything else we’re doing at https://union.ai/