Large Language Models: What’s All the Fuss About?

Worum geht's?

After our last event, the feedback was clear: folks are really interested in talking and learning more about LLMs — and how we can bring them into our own workflows. But before we get to *using* them well, we need a solid understanding of how they actually work. So this session goes back to the roots. We'll start with how machines first learned to handle sequences — recurrent networks, LSTMs, and GRUs — and the tricks they used to "remember" context, plus where they hit their limits. From there