Machine Learning

• Building Dash: How RAG and AI agents help us meet the needs of businesses

  // Apr 24, 2025

• Selecting a model for semantic search at Dropbox scale

  // Dec 11, 2024

• Bringing AI-powered answers and summaries to file previews on the web

  // Jul 11, 2024

• Bye Bye Bye...: Evolution of repeated token attacks on ChatGPT models

  // Mar 19, 2024

• Putting everything in its right place with ML-powered file organization

  // Oct 31, 2023

• Is this a date? Using ML to identify date formats in file names

  // Sep 26, 2023

• Don't you (forget NLP): Prompt injection with control characters in ChatGPT

  // Jul 19, 2023

• Accelerating our A/B experiments with machine learning

  // Jan 24, 2023

• Optimizing payments with machine learning

  // May 17, 2021

• How image search works at Dropbox

  // May 11, 2021

• Cannes: How ML saves us $1.7M a year on document previews

  // Jan 27, 2021

• Using machine learning to predict what file you need next, Part 2

  // Oct 02, 2019

• Using machine learning to predict what file you need next

  // May 02, 2019

• Using machine learning to index text from billions of images

  // Oct 09, 2018

• Validating performance and reliability of the new Dropbox search engine

  // Oct 02, 2018

• Architecture of Nautilus, the new Dropbox search engine

  // Sep 27, 2018

• Machine intelligence at Dropbox: An update from our DBXi team

  // Sep 13, 2018

• Augmented camera previews for the Dropbox Android document scanner

  // May 03, 2017

• Creating a Modern OCR Pipeline Using Computer Vision and Deep Learning

  // Apr 12, 2017

• Memory-Efficient Image Passing in the Document Scanner

  // Mar 30, 2017

• Improving the Responsiveness of the Document Detector

  // Oct 19, 2016

• Fast Document Rectification and Enhancement

  // Aug 16, 2016

• Fast and Accurate Document Detection for Scanning

  // Aug 09, 2016

• Hilary Mason Speaks at Dropbox

  // Feb 23, 2012