Last couple of years AI has entered out lives and jobs - and it’s clearly here to stay. But before we fully hand over everything over to the machines, let’s take a step back and actually understand what’s going on under the hood.

What are tokens and embeddings? What do transformers really do (besides being in disguise)? What are these vectors showing up everywhere? We’re not drawing anything, right?

In this session, we’ll unpack the core concepts behind large language models: things like training, parameters, vector search, and more.

If you’ve ever used an LLM and thought, “Wait… how does this actually work?” - this talk is for you.

Audience: Developers. Duration 60 - 75 minutes