ML in practice
Below you can find a link to a video of a presentation that I gave at KIT Founders Club about my experiences with ML / AI models in practice.
It is a rather high-level talk about ML for an audience with mixed backgrounds. First part is setting some context on the level of complexity that ML models need to achieve in order to be useful. Second part shows how ML models can be gradually built from fine-tuning models on multiple datasets. Third part mentions some of the technical and infrastructural complexities that one faces when models are put into a production environment.
Categories:
AI