Drax: Speech Recognition with Discrete Flow Matching h huggingface.co 45 cliffly 11 months ago 0 comments
Diff Risk Score: AI-driven risk-aware software development e engineering.fb.com 1 cliffly 1 year ago 0 comments
Improving Video Quality Control at Netflix with Pixel Error Detection n netflixtechblog.com 2 cliffly 1 year ago 0 comments
AI coding tools are like that helpful but untrustworthy friend, devs say t theregister.com 8 cliffly 1 year ago 6 comments
KumoRFM: A Foundation Model for In-Context Learning on Relational Data k kumo.ai 110 cliffly 1 year ago 19 comments
Fighting Unwanted Notifications with Machine Learning in Chrome b blog.chromium.org 1 cliffly 1 year ago 0 comments
Boy Accidentally Orders 70k Lollipops on Amazon. Panic Ensues. n nytimes.com 33 cliffly 1 year ago 65 comments
Every single credit card purchase gets classified by a model as fraud or ok. When you go to Netflix and see recommended movies, it's all predictions on structured data. Every single post in every social media feed is there because a model predicted you'd like it.
Realistically, it might be more like 10s of thousands or even hundreds of thousands of predictions that we engage with in a day.
If reality matches the benchmarks for this model, it can kick off a whole new category of models that can potentially be bigger than LLMs