Federico Torrielli

PhD Candidate in Generative AI

A picture of Federico Torrielli, looking at the camera

About Me

I am a PhD Candidate in Generative Artificial Intelligence at the University of Turin. My research interests lie at the intersection of Natural Language Processing and state-of-the-art Neural Networks, with a particular focus on Large Language Models safety, control and coherence.

Who I Am

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A computer scientist with a Master's Degree in Artificial Intelligence

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A classicist who believes in understanding the past to predict the future

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A technology journalist with a focus on AI and NLP advancements

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A Linux expert and enthusiast with extensive experience in various distributions

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An advocate for Open Source software and community-driven development

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A skilled programmer proficient in Python, Java, JavaScript, TypeScript, and more

I am INTJ, 5w6, an absurdist, a minimalist and I openly support Technocracy. You can see my HEXACO personality test results Here.

In my daily work, I engage with Transformer architectures, Diffusion models, and NLP pipelines to advance the field of NLP research and develop innovative solutions for language understanding and generation. My recent work focuses on AI Safety, Chatbots, and Alignment Theory.

Projects

You can find my publicly-shared works on my GitHub page

Published Papers

You can find my published papers on my Google Scholar page

My Book

Cover of Sembrare ed Essere

Sembrare ed Essere

2017 Amazon

A collection of my personal poems and thoughts that shaped my way of thinking about the world and what's around me.

Purchase (Italian only)

Philosophy on Minimalism

This website embraces a minimalistic design that reflects my belief in simplicity, efficiency, and accessibility. The internet should be a place where information is easy to find, read, and navigate, without being cluttered by excessive visual elements or advertisements.

As developers and researchers, we have a responsibility to create online experiences that prioritize the needs of a diverse range of users and focus on the effective organization and presentation of data.