Mar
11
Mar
Eventi
Tech Talk Generali - Fine Tuning Embedding Models for Improved Retrieval
In this Tech Talk, Generali will present a case study on improving the retrieval phase of a Retrieval-Augmented Generation system for insurance-related queries.
By fine-tuning a pre-trained embedding model on domain-specific data, they enhanced its ability to generate semantically relevant embeddings, not only enabling more efficient insurance information retrieval but also improving response accuracy.
SPEAKERS:
Virginia Marcante: Data Scientist
Domenico Vitarella: Tech Lead Machine Learning Engineer
Generali is a major player in the global insurance industry – a strategic and highly important sector for the growth, development and welfare of modern societies.
Established in 1831, Generali is present in over 50 countries in the world, with a total premium income of € 82.5 billion. With around 82,000 employees serving 70 million customers, the Group has a leading position in Europe and a growing presence in Asia and Latin America. At the heart of Generali’s strategy is its Lifetime Partner commitment to customers, achieved through innovative and personalised solutions, best-in-class customer experience and its digitalised global distribution capabilities.
The Group has fully embedded sustainability into all strategic choices, with the aim to create value for all stakeholders while building a fairer and more resilient society.
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SAVE THE DATE
Tech Talk Generali: Fine Tuning Embedding Models for Improved Retrieval
WHEN: 11st March h. 11:30 am - 1:00 pm
WHERE: room 6N
WHO: all graduates and students (BA and MA) from Physical Engineering, Engineering and Management, Computer Engineering, Mathematics for Engineering, Mathematical Engineering, Cybersecutiry, Data Science and Engineering, ICT for Smart Societies, and PhD students from Physics, Artificial Intelligence, Mathematical Science, Computer and Control Engineering - and all students from related fields.
To participate, you must register at this link by March 10.
Please note that the event will be in English.
By fine-tuning a pre-trained embedding model on domain-specific data, they enhanced its ability to generate semantically relevant embeddings, not only enabling more efficient insurance information retrieval but also improving response accuracy.
SPEAKERS:
Virginia Marcante: Data Scientist
Domenico Vitarella: Tech Lead Machine Learning Engineer
Generali is a major player in the global insurance industry – a strategic and highly important sector for the growth, development and welfare of modern societies.
Established in 1831, Generali is present in over 50 countries in the world, with a total premium income of € 82.5 billion. With around 82,000 employees serving 70 million customers, the Group has a leading position in Europe and a growing presence in Asia and Latin America. At the heart of Generali’s strategy is its Lifetime Partner commitment to customers, achieved through innovative and personalised solutions, best-in-class customer experience and its digitalised global distribution capabilities.
The Group has fully embedded sustainability into all strategic choices, with the aim to create value for all stakeholders while building a fairer and more resilient society.
----------------------------------------------------------------------------
SAVE THE DATE
Tech Talk Generali: Fine Tuning Embedding Models for Improved Retrieval
WHEN: 11st March h. 11:30 am - 1:00 pm
WHERE: room 6N
WHO: all graduates and students (BA and MA) from Physical Engineering, Engineering and Management, Computer Engineering, Mathematics for Engineering, Mathematical Engineering, Cybersecutiry, Data Science and Engineering, ICT for Smart Societies, and PhD students from Physics, Artificial Intelligence, Mathematical Science, Computer and Control Engineering - and all students from related fields.
To participate, you must register at this link by March 10.
Please note that the event will be in English.