Maintaining the modern SaaS system based on cloud operational 24/7 is definitely not a trivial thing. Especially if your product grows 100% year to year. Through the last 6 years we were figuring out the process which allows us to keep an eye on our system health, without building a dedicated team.
Artificial intelligence has entered the mainstream. We hear about it in the daily news, we use it every day on our devices. Have you ever wondered how it works? How do algorithms make decisions?
Not so long ago the edrone team had finally the opportunity to leave our virtual workspace behind and meet in the real world. We had an unbelievably good time, and that got me thinking about how it's possible that a 110-person team, mainly created during lockdowns, is so close to each other.
Don’t just look at the benchmark figures when you evaluate your language model. A subjective judgement can also lead to interesting insights.
In real-life applications computational efficiency of ML models is as important as evaluation metrics
Recurrent language models are still alive and kicking. We release pretrained Polish and English ULMFiT models for Tensorflow Hub.
Data privacy regulations and tighter restrictions by web browsers are making it harder to track online activity – which can be good or bad depending on which side of the online ads industry you’re in. But there is a way to get insights about users without tracking them: Zero-Party Data.
Some say that working on software architecture is like gardening. Since there’s no such thing as “the final season” or “final weather”, all you can do is to check the forecast for the upcoming days and introduce changes through a long list of iterations.