Kateryna Budzyak
Kateryna is Data Scientist at Malt, the freelancer marketplace, where she works in the search and matching team. She has a background in bioinformatics and passionate about beautiful code.
Session
In recent times, GenAI has sparked fervent excitement, sometimes touted as the panacea for all natural language processing (NLP) tasks. This presentation explores a practical text classification scenario at Malt, highlighting the practical hurdles encountered when employing GenAI (latency, environmental impact, and budgetary constraints). To overcome these obstacles, a smaller, dedicated model emerged as a viable solution. We'll delve into the construction and optimization (quantization, graph optimization) of this multilingual model. Finally we’ll see how GenAI's unparalleled zero-shot capabilities enables its continuous adaptation.