Optimising cost, quality, latency

There is a trifecta of variables that just about everyone building generative AI systems cares about — cost, quality, and latency. As is often the case in computing, there is a trade-off between these properties. And all three are bought with the currency of performance.

31 Oct 2023 Â· 2 min Â· Gianluca Truda

Learning quant. trading with ML on Numerai

Making 95% annual return on the hardest data science tournament in the world, for fun and profit.

2 Jan 2023 Â· 4 min Â· Gianluca Truda

Generative models for synthesising private datasets

My MSc thesis and what it aims to do for biomedical science.

8 Jul 2021 Â· 4 min Â· Gianluca Truda

Quantified Sleep

This project applied statistical learning techniques to an observational Quantified-Self (QS) study to build a descriptive model of sleep quality. A total of 472 days of my sleep data was collected with an Oura ring. This was combined with a variety of lifestyle, environmental, and psychological data, harvested from multiple sensors and manual logs.

30 Jun 2021 Â· 3 min Â· Gianluca Truda