Stavros Niafas
Stavros Niafas is a Machine Learning engineer involved in machine/deep learning, active learning, MLOps and computer vision. He is also actively engaged in systems engineering, FLOSS & photography.
Lately he is on a journey to democratize ML and fill the gap between research and production.
Sessions
In post AI-winter era, ML and AI are more transparent than ever and along with the tremendous growth of data, have born groundbreaking technological novelties. Companies, universities, scientists and practitioners have access on this abundance of information, taking advantage of state-of-the-art models, enabling them to revolutionize the industry.
This talk will set the frame around the problems and latest innovations in AI and discuss about open source tools and technologies promoting the accessibility to ML models and data.
Training and reproducing ML models from scratch has been always the bitter pill for data science teams, researchers and practitioners, let alone the data collection and engineering process.
Transformers library have come a long way to make our lives a little more easier and bring the latest SoTA AI models for CV, NLP, audio and multimodal processing at the tip of a button.
In this workshop we are going to have a walkthrough in Hugging Face platform, play around with the transformers library, load models to process text, detect objects in images and why not create new 🤗 accounts!