The aim of this web session is to equip participants with the knowledge and practical skills needed to apply advanced GenAI concepts in actuarial contexts. By the end of the session, participants will be able to:
-Understand how to interact with GenAI tools programmatically through APIs.
-Customize LLMs using fine-tuning techniques to address domain-specific requirements.
-Combine external data with LLMs through Retrieval-Augmented Generation to produce contextually relevant outputs.
-Leverage Function Calling capabilities to trigger the execution of predefined functions in the underlying programming language, such as calculations or database queries.
-Generate structured outputs in JSON format to ensure compatibility of the responses with actuarial processes and systems.
-Apply Python programming skills to develop and integrate GenAI-powered solutions into actuarial workflows.
The session strikes a balance between conceptual understanding and hands-on programming, providing participants with tools to enhance the accuracy, efficiency, and creativity of their actuarial work.
Anmeldeschluss: 2025-12-08
Link: https://actuarial-academy.com/seminars/seminar?No=E0528