EAA Web Session: GenAI Beyond the Basics: Advanced Concepts for Actuaries

Announcement from the EAA organiser:

Generative AI (GenAI) tools, such as ChatGPT, are rapidly reshaping the way actuaries approach problem-solving, analysis, and communication. Beyond their familiar web-based interfaces, these tools offer powerful functionalities through programmatic integration, which allows users to directly access and interact with the underlying Large Language Models (LLMs) via APIs (Application Programming Interfaces). Unlike standard web-based interactions, API access enables actuaries to seamlessly integrate GenAI into their existing workflows. Furthermore, it supports scalable usage, where multiple requests can be processed simultaneously or sequentially, allowing for more efficient handling of large volumes. In this two-hour web session, participants will experience interactive live demonstrations, where advanced GenAI concepts are presented and applied to real actuarial use cases.

After introducing the basics of applying GenAI through APIs, we will explore the following advanced GenAI concepts:

• Fine-Tuning: Customizing pre-trained LLMs with domain-specific data to improve accuracy and relevance in generating responses.
• Retrieval-Augmented Generation (RAG): Combining LLMs with external data sources to produce contextually enriched and up-to-date outputs.
• Function Calling: Enabling LLMs to execute predefined operations, such as calculations or database queries, by invoking specific functions in the underlying programming language.
• Structured Outputs: Generating responses in predefined formats, such as JSON or tabular data, to ensure consistency and integration with other systems or processes.

For each concept, the session will present its purpose, principles, and functionality, accompanied by a relevant actuarial use case to illustrate its practical application. The session will conclude with an outlook on future developments, followed by a space for questions and open discussion.

The aim of this web session is to provide participants with the knowledge and practical skills needed to apply advanced GenAI techniques 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 formats like JSON or tables to ensure compatibility with actuarial processes and systems.
• Apply Python programming skills to develop and integrate GenAI-powered solutions into actuarial workflows.

This session strikes a balance between theory and practical programming, equipping participants with tools to enhance the accuracy, efficiency, and creativity of their actuarial work.

Click here to register. The early-bird registration fee for attendees with an EU company billing address (excluding German company billing addresses) is € 150.00 net (reverse charge) for bookings by 26 March 2025. After this date, the fee will be € 195.00 net (reverse charge).