Audit Bot: a prototype for automated AI auditsAt the tail end of a sabbatical last year, I participated in the AI Audit Challenge that was run by Stanford’s Institute for Human-Centered…Jul 22, 2023Jul 22, 2023
Published inData @ MonzoMachine Learning at Monzo in 2022Over the last two years, I’ve written posts about Machine Learning at Monzo (in 2020, and in 2021). As the adoption and impact of machine…Dec 19, 2022Dec 19, 2022
Evaluating LLMs trained on codeThis post was originally published on nlathia.gihub.io and announced in this tweet.Oct 24, 2022Oct 24, 2022
“Just get some labelled data”Labelled data underpins all of supervised learning: our ability to wrangle data into some representation of “input” and expected “output”…Mar 7, 2022Mar 7, 2022
Published inData @ MonzoMachine Learning at Monzo in 2021Last year, I wrote the “Machine Learning @ Monzo in 2020” post as we started a round of hiring for the team. Our hiring season has been…Oct 28, 20211Oct 28, 20211
Published inData @ MonzoMachine Learning at MonzoWe’re hiring! Here’s an FAQ post with all the typical questions that I receive.Dec 15, 2020Dec 15, 2020
Published inFeature Stores for MLBuilding an analytics feature storeWhat is a feature store; why & how did we build one at Monzo?Dec 12, 2020Dec 12, 2020
How to over engineer a sound classifierDetecting a trivial sound in a quiet environment using deep learning.Apr 5, 2020Apr 5, 2020
Testing SQL the hard wayLooking at the minutiae of discovering when analytics SQL is completely broken (the hard way).Apr 5, 2020Apr 5, 2020
When is a neural net too big for production?Here are some thoughts on the recent discussions around NLP transformer models being too big to put into production, and a dive into how…Oct 4, 20192Oct 4, 20192
