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Alessandro Cappelli

3 accepted papers

2023

The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data Only

NeurIPS 2023poster

Large language models are commonly trained on a mixture of filtered web data and curated ``high-quality'' corpora, such as social media conversations, books, or technical papers. This curation process is believed to be necessary to produce performant models with broad zero-shot generalization abilit…

Cited by 147SourcePDFScholar
2022

Adversarial Robustness by Design Through Analog Computing And Synthetic Gradients

ICASSP 2022accepted

We propose a new defense mechanism against adversarial at-tacks inspired by an optical co-processor, providing robustness without compromising natural accuracy in both white-box and black-box settings. This hardware co-processor performs a nonlinear fixed random transformation, where the parameters…

Cited by 0SourceScholar
2021

Photonic Differential Privacy with Direct Feedback Alignment

NeurIPS 2021poster

Optical Processing Units (OPUs) -- low-power photonic chips dedicated to large scale random projections -- have been used in previous work to train deep neural networks using Direct Feedback Alignment (DFA), an effective alternative to backpropagation. Here, we demonstrate how to leverage the intrin…

Cited by 13SourcePDFScholar