Dear Speckers,

Welcome to our second event of the new season and our 57th in total!

This time, together with our speakers, we will be talking about large language models, semantics, artificial intelligence, and much much more... Welcome to "Talking Machines"!

Access to the venue will be granted solely to people possessing a regular ticket that will be scanned at the entrance of the Impact Hub Trentino. If you can't physically attend, you can follow the live-stream here.

Please find below our insane speakers:

1. VALENTINA ALTO
Building intelligent applications with Large Language Models

ABSTRACT: Large Language Models (LLMs) have proved extraordinary capabilities in language understanding and generation, but their most promising feature is probably their reasoning capability. The fact that LLMs can understand complex problems, plan step-by-step solutions, and even work by intuition, make them powerful reasoning engine to be placed at the core of AI-powered application. In this session, we are going to explore how LLMs are revolutionizing the world of software development and paving the way for a new landscape for LLM-powered applications.

BIO: I'm a Data Science MSc graduate and Cloud Specialist at Microsoft, focusing on Analytics and AI workloads within the manufacturing and pharmaceutical industry since 2022. I've been working on customers' digital transformations, designing cloud architecture and modern data platforms, including IoT, real-time analytics, Machine Learning, and Generative AI. I'm also a tech author, contributing articles on machine learning, AI, and statistics, and I recently published a book on Generative AI and Large Language Models. In my free time, I love hiking and climbing around the beautiful Italian mountains, running, and enjoying a good book with a cup of coffee.

2. SARA TONELLI
Why LLMs should be handled with care

ABSTRACT: Ever since OpenAI released ChatGPT, LLMs have been applied to the most diverse domains, from education to medicine. However, what they basically do is to look for patterns in huge amounts of text and use those patterns to guess what the next word in a string is. Having no access to the real world, LLMs are therefore great at mimicry but show important limitations when employed for critical tasks, which may affect human well-being, social justice, and access to digital services. This talk will discuss all the above issues, highlighting the risks but also the huge potential of LLMs.

BIO: Sara Tonelli is the head of the Digital Humanities research unit at Fondazione Bruno Kessler since 2013. She holds a PhD in Language Sciences from Università Ca’ Foscari in Venice and is a member of the Center of Computational Social Science and Human Dynamics jointly with the University of Trento.

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