Upcoming GRBIO seminars
Organizers: Ferran Reverter and Jordi Cortés
Online. If you want to attend, please, contact grbio@grbio.eu
Integrating Large Language Models: From Theory to Practice with Real Data
L’objectiu d’aquesta xerrada és proporcionar les bases necessàries per treballar amb LLMs (Large Language Models). S’exploraran els mètodes i paràmetres clau a tenir en compte, amb èmfasi en diferents exemples de casos d’ús adaptats a les dades disponibles i als problemes a resoldre. També es destacaran les limitacions inherents a aquests models per promoure un ús responsable i conscient.
Biosketch
Lavinia Hriscu és graduada en Enginyeria Física (UPC) i compta amb un Màster en Estadística i Investigació Operativa (UPC). Actualment, està cursant el Doctorat en Automàtica, Robòtica i Visió a l’Institut de Robòtica i Informàtica Industrial (CSIC-UPC). La seva tesi doctoral s’inscriu en el projecte SOCIAL-PIA (Cooperative Social PIA, Perception-Intention-Action, model for Cybernetics Avatars), on es centra en l'estudi de com integrar i utilitzar models de llenguatge per dotar els robots de capacitats de comunicació que els permetin conviure de manera autònoma amb els humans.
Online. If you want to attend, please, contact grbio@grbio.eu
Advances in the analysis of human perceptions within the CUB framework
Questionnaires are widely used across various research fields to assess latent traits such as perceptions, opinions, and attitudes. These traits are typically measured using rating scales like Likert or Semantic Differential scales, generating ordinal data. Analyzing such data presents unique challenges, for which specialized models have been developed. Among these, the CUB (Combination of discrete Uniform and shifted Binomial random variables) class of models stands out as a prominent approach in the literature. CUB models assume that respondents' ratings result from the interplay of two distinct psychological components: feeling, representing a rational response, and uncertainty, reflecting indecision. This talk provides an introduction to CUB models and presents new theoretical contributions to their development. Additionally, an application of these models to analyze the synesthetic experience of museum visitors is presented, showing their practical relevance in studying human perceptions.
Biosketch
Matteo Ventura is completing his PhD in Statistics at the University of Brescia, Italy. His research focuses on both the methodological and applied aspects of Statistical Sciences. His primary interests lie in mixture models and ordinal data, with applications across various fields, including marketing, tourism, culture, and psychology. Additionally, he is interested in graphical models with applications to social sciences and ecology.
Online. If you want to attend, please, contact grbio@grbio.eu
Content: (To be announced)
Online. If you want to attend, please, contact grbio@grbio.eu
Content: (To be announced)
Online. If you want to attend, please, contact grbio@grbio.eu
Content: (To be announced)
Online. If you want to attend, please, contact grbio@grbio.eu
Content: (To be announced)
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