Data Curation for Fine-Tuning Language Models in Capital Markets

About Webinar

Time to put the spotlight on what drives the success of machine learning models: data curation. 

Data curation specialists are essential to building practical AI systems. They focus on tasks such as domain discovery, designing annotation schemas, and adapting to constantly evolving edge-cases. 

Join us for an exciting webinar that dives deep into how annotations can effectively tackle the unpredictability of the human language.

Karolina Drabik, Head of Data Curation at Sense Street, will share innovative strategies to unlock the full potential of your data, address the challenges of complex financial jargon, and navigate the unpredictability of human language.

In this live webinar:

• Discover the power of descriptive labels

Highly nuanced tasks in capital markets often require more than standard tags. Descriptive labels help structure data without oversimplification, ensuring it captures critical nuances in financial language and human unpredictability. 

• Master granularity and quality in annotations

Explore how breaking down data into finer categories enhances accuracy and how detailed guidelines, review loops, and team collaboration ensure consistent, “gold-standard” annotations tailored for capital markets.

• Level up your prompting skills

Learn how prompting can support annotation processes, boost dataset growth, and reduce workload – all while ensuring your annotations align with the complexities of financial datasets and linguistic variability.