Embeddings are the foundation of how Large Language Models understand the world. Yet, when you try to read about them, you are bombarded with scary words like tensors, matrices and multi-head attention.

No need! Let's try and actually get a grip on how Embeddings work. Join us to understand how powerful they can be as a tool for Natural Language Processing. Of course, we will bring our own demo application that adds a correct, fitting and tasteful emoji to whatever chat message you feed it with - so your parents will finally be able to pick the correct emoji when writing to you.

We will explain why we translate language into high-dimensional vectors. Then, we will build our sample application for emoji search, explaining semantic search, finetuning and multi-modal embeddings along the way. We will also give an overview over benchmarks and how to scale your semantic search application.