Events

Generative AI models have matured to the point where we can use LLMs as a natural language interface to build compound AI systems, where multiple models of different modalities work together to form a single, coherent application.

A key stage in the MLOps process is about delivering your model to your users in a way that meets functional and business requirements.

Join this fireside chat as we speak with John Gilhuly, Head of Developer Relations at Arize about AI Observability for LLMs.

With ML systems and AI-augmented applications becoming prominent components of the software infrastructure, they are also a very attractive target for malicious actors.

Join this workshop designed to help you get started with Pandera, a powerful Python library for data validation and quality assurance.

This workshop will equip you with the skills to effectively build your ML pipelines and reliable AI workflows using Python, scikit-learn and Flyte/Union.