Tag: FM

In this session, we will begin with a Recap of the previous session in May, summarizing key takeaways and setting the stage for the topics ahead. I will talk about the architecture of Neural Networks – how they learn from large volumes of data and delve into techniques to improve Foundation Models (FMs), upon which…