Meetup in Vilnius

7 things that you must know about quality assurance for AI models by Dovydas Čeilutka

The use of artificial intelligence in critical business applications has increased rapidly with the rise of deep learning. The quality assurance procedures of these models are different than in the traditional software development but equally important. The best practices for testing ML models are still developing, but we have a variety of tools, which allows us to ensure that the models running in production are robust and reliable.

How we test in Trafi by Aistė Stikliūtė

This is a topic we “owe” from the testing hackathon in Trafi as time became short that day. As multiple people expressed their wish to actually learn about testing in Trafi as well as mobile app testing, it will not get lost and will be presented in the upcoming Bugs’a’loud meetup.

Testing hackathon - lessons learnt by Aistė Stikliūtė

Last…