Finally Understand Embeddings

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 Elias Schecke and Dennis Schulz to understand how powerful embeddings can be as a tool for Natural Language Processing. Of course, they will bring their 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.

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