Luca Gilli

Tiny Language Models (TLMs) represent the next frontier in accessible and efficient AI. While Small Language Models (SLMs) are already proving their ability to rival larger models in targeted applications, TLMs push this boundary even further, offering ultra-compact architectures that can be...

From developer workflows to corporate strategy to carbon footprints — AI is changing everything. Join us for this panel discussion to unpack its wide-reaching impacts and explore how we can steer this powerful technology toward better outcomes.

Join us to discover Tiny Language Models: ultra-compact, resource-efficient AI tools that deliver impressive results. In this session, you’ll learn how to create your own model, from data preparation to training. These models combine innovation with efficiency, making AI more accessible than ever.

The new EU's AI Act mandates assessments for high-risk AI, with a focus on robustness and human oversight. This talk explores these requirements, discussing how they can be implemented as part of a ML pipeline, and presents a Python-based case study guiding data scientists on the new regulations.

During this talk, we will introduce and showcase great_expectations, a Python library to write unit tests for data pipelines. We will also discuss what it means to make the creation of data tests more efficient through data profiling.