Having conversations with AI is being touted as the future of our communication with computers. For the conversations to be both meaningful and easy to understand, they need to be properly trained in as many languages as possible, including those with smaller numbers of speakers. Also, the cheaper the training, the better.

During the 8th Better AI Meetup, we will be addressing exactly these challenges: evaluating quality of language models, training those models without breaking the bank and the future expectations from language models in the business and elsewhere.

_Supported by



andrej svec

Andrej Švec


Andrej is a Machine Learning Engineer at Slido where he is leading a small team building NLP-powered features. The team works in a non-standard end-to-end manner – from exploration and modeling, through training and deployment of the models, to building the feature in the product and monitoring its success. Despite the small team, Slido managed to push a few models to production and even write some academic papers about it.

Before joining Slido, Andrej studied at the Slovak University of Technology in Bratislava and worked as a Software Engineer at CERN.

tomas mikolov

Tomáš Mikolov

Czech Institute of Informatics, Robotics and Cybernetics

Tomáš Mikolov is a scientist specializing in artificial intelligence research, his main focus is statistical language models. His best known work includes RNNLM (the world’s first open source library for training neural language models) and word2vec (the first AI project released as open source by Google). Tomáš is currently the most cited Czech scientist. After years spent at US corporations like Google and Facebook, he returned to the Czech Republic in 2019, where he leads a research group at CIIRC CTU and also a startup in the field of language models.

Daniel Hládek

Technical University of Košice

Daniel Hládek is an Assistant Professor at the Department of Electronics and Multimedia Communications, Faculty of Electrical Engineering and Informatics, Technical University of Košice. His research in artificial intelligence includes natural language processing, natural language generation, text mining, language modeling, question answering, automatic spelling correction, spontaneous speech recognition, and human-computer interaction.


Language: English

5:00 pm
5:10 pm
Presentation - Evaluation of multilingual language models with SK-QUAD - Daniel Hládek, TUKE
5:20 pm
Presentation - From word vectors to LLMs: Building NLP-infused products without breaking the bank - Andrej Švec, Slido
5:40 pm
Interview - The future of language models - Tomáš Mikolov, CIIRC CTU
6:05 pm
Live Q&A – _Slido #better_ai

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