This event was part of the EuroCC2 project and the National Competence Center activities, in collaboration with the Greek National Competence Center, and it provided training on the following subjects:
- Large-scale generative models for language and vision (including LLMs): How they work – and what we still do not know about them
- PyTorch Neural Networks: Running on CPUs and GPUs
- Streamlined Data Analysis with NBML: Harnessing AI Algorithms for Predictive Modelling
- Efficient Data Cleaning and Pre-processing Techniques for Robust Machine Learning
- GPU CUDA Programming
This event was part of the EuroCC2 project and the National Competence Center activities, in collaboration with the Greek National Competence Center.
More details here.
All attendees will need to bring a laptop or tablet with the following:
- A web browser
- A PDF viewer
- An ssh client, e.g. a terminal for Mac or Linux, or Windows with WSL or PuTTy (for the "GPU CUDA Programming" session)
- The ability to edit text files on a remote server. E.g. via text-based Emacs or Vim, or via the VS Code Remote - SSH extension or similar (for the "GPU CUDA Programming" session)
- Large-scale generative models for language and vision (including LLMs): How they work – and what we still do not know about them. Constantine Dovrolis and Mihalis Nicolaou
- PyTorch Neural Networks: Running on CPUs and GPUs. Pantelis Georgiades
- "Tensorization and uncertainty quantification in machine learning". Yinchong Yang, Siemens AG
- Streamlined Data Analysis with NBML: Harnessing AI Algorithms for Predictive Modelling. Nikos Bakas
- Efficient Data Cleaning and Pre-processing Techniques for Robust Machine Learning. Charalambos Chrysostomou
- GPU CUDA Programming – Session 1. Giannis Koutsou
- GPU CUDA Programming – Session 2. Giannis Koutsou
The certificate for the course can be found below:
"Data analytics in the era of large-scale machine learning" - Greek National Competence Center) (Issued On: May 2023)