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Engineering

XAI: Interpretowalna Sztuczna Inteligencja

XAI: Interpretowalna Sztuczna Inteligencja

Sztuczna Inteligencja jest częścią naszej codzienności, i tego nie jesteśmy w stanie zmienić. Słyszymy o niej w wiadomościach i używamy, nawet nieświadomie, na naszych urządzeniach. Zastanawiacie się jednak czasami, jak tak naprawdę działa? Konkretnie, na jakiej zasadzie algorytmy podejmują decyzje?

Grzegorz Knor
Grzegorz Knor
Artificial intelligence
Przeprogramowani - wywiad z Maćkiem Mendrelą

Przeprogramowani - wywiad z Maćkiem Mendrelą

Zarówno Maciek Mendrela, jak i Przemek Smyrdek, mieli już okazję dzielić się wiedzą na łamach bloga edrone. Tym razem jednak temat jak i forma publikacji jest nieco inna.

Marcin Lewek
Marcin Lewek
Engineering
Maintaining Our Infrastructure as Incident Commander

Maintaining Our Infrastructure as Incident Commander

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.

Maciej Mendrela
Maciej Mendrela
Engineering
XAI: Explainable Artificial Intelligence

XAI: Explainable Artificial Intelligence

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?

Grzegorz Knor
Grzegorz Knor
Machine learning
Dispatches from the ULMFiT trenches

Dispatches from the ULMFiT trenches

Don’t just look at the benchmark figures when you evaluate your language model. A subjective judgement can also lead to interesting insights.

Hubert Karbowy
Hubert Karbowy
AVA
Why ULMFiT can still matter: training and inference times

Why ULMFiT can still matter: training and inference times

In real-life applications computational efficiency of ML models is as important as evaluation metrics

Hubert Karbowy
Hubert Karbowy
AVA
Resurrecting monolingual recurrent language models with ULMFiT for Tensorflow

Resurrecting monolingual recurrent language models with ULMFiT for Tensorflow

Recurrent language models are still alive and kicking. We release pretrained Polish and English ULMFiT models for Tensorflow Hub.

Hubert Karbowy
Hubert Karbowy
AVA
Front-end evolution: towards performance and consistency

Front-end evolution: towards performance and consistency

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.

Przemysław Smyrdek
Przemysław Smyrdek
Engineering