|
|
Today, Generative AI and LLMs (Large Language Models) represent
a major area of innovation in the insurance and actuarial fields.
These models offer promising perspectives for transforming
operations, services, and risk understanding.
Projects may focus on simple operational tasks. In that case, LLMs
are used for data quality improvement, information extraction, text
classification, question-answering systems, summary, etc. But these
projects may also be related to more advanced topics related to
risk assessment like underwriting risk evaluation, claims knowledge
graph, etc.
In any case, and despite their potential, putting these
technologies into production remains a challenge: model complexity,
lack of adaptation to specific domains, unmet business
expectations, IT constraints, costs and maintainability that are
difficult to master, etc.
For these reasons (and many others), it seems increasingly
necessary to have a solid culture in LLM applied to Insurance. The
aim of this workshop is to:
- Acquire a solid understanding of the
origins, development, and technical properties of Large Language
Models, with a particular focus on their application in the
insurance and actuarial sectors.
- Learn how to effectively transform and
represent data to optimise its use in LLMs, understanding the
importance of cleansing, segmenting, and embedding.
- Develop practical skills for using LLMs,
including prompting, fine-tuning, and handling various tasks such
as data extraction, classification, and summary creation.
- Understand methodologies for evaluating,
developing, and deploying LLM projects, with a clear understanding
of operational challenges, security, and quality.
- Explore and apply the knowledge gained
through real-life case studies, focusing on solving problems
specific to the insurance sector, to reinforce learning and
encourage innovation.
Participants will embark on a journey from understanding the
basics of what LLMs are, including an overview, specifications,
evaluations, and their pros and cons, to mastering how to
effectively utilize them through various techniques such as
prompting, and fine-tuning strategies.
A dedicated part will focus on strategic implementation, featuring
case studies and real-world challenges to equip attendees with the
knowledge to initiate their own projects or integrate LLMs into
existing workflows.
By the end of the workshop, participants will have a solid
foundation in the operational and strategic aspects of LLMs,
enabling them to harness these powerful tools for a wide range of
applications in insurance and risk management.
Your early-bird registration fee is € 480.00 (net) / € 571.20
(incl. VAT, if applicable) for bookings by 12 September 2024. After
this date, the fee will be € 625.00 (net) / € 743.75 (incl. VAT, if
applicable).
|
|
