ELIAS, ELLIOT & ELSA Theme Development Workshop on Foundation Models

Overview: The emergence of Foundation Models and Large Language Models is transforming the way AI systems are developed and applied in various industry sectors. Trained on massive amounts of data of different modalities and using transfer learning to apply the knowledge learned from one task to another, models such as ChatGPT, GPT-4, BERT, CLIP, DALL-E, etc. can be adapted to a wide range of downstream tasks from media content generation to climate change modeling, healthcare monitoring, autonomous driving and many more. 

The ELIAS, ELLIOT & ELSA Theme Development Workshop on Foundation Models aims to highlight the opportunities offered by Foundation Models, explore relevant technical challenges, consider legal & ethical aspects, and present application examples.

Objectives:

• Explore technical aspects of Foundation Model training such as generalisation, scaling, benchmarking, security, and computational resources.
• Address ethical considerations in the development and deployment of Foundation Models.
• Highlight different applications domains and discuss relevant adaptation challenges of Foundation Models.