Understanding Embeddings for Natural Language Processing

In Natural Language Processing, embeddings are the keys that open the door for algorithms to process and understand the meaning of words or text, facilitating more effective language-based tasks such as sentiment analysis, language translation, and document similarity.

In this course we can help you to understand better what embeddings are, what they are useful for, and how they have developed over time. We will also talk about how to store and work with embeddings by using vector databases.

As a complement to this course, the KI-Servicezentrum Berlin Brandenburg (KISZ-BB) offers regularly a presential hands-on workshop that applies in a practical way all the knowledge from this course, using the example of semantic search. If you would like to participate in the workshop, you can check our events or subscribe to our newsletter and get regular information about workshops and other educational offers.