Learn how to build and deploy a semantic search engine, first for text documents and later for images. This series of hands-on sessions will touch upon Python programming, need-to-know concepts about embeddings, vector DBs, machine learning, and cloud deployment. ...
Learn how to use embeddings, vector databases, and similarity measures to solve real-world problems. These powerful tools power many of the products and services we use today, from search engines to social media platforms. In this session, you’ll learn the basics of these technologies and how to use them to build your own innovative applications. Embeddings are a powerful way to represent data in a high-dimensional space. Vector databases provide efficient storage and retrieval of embedding data. Similarity measures can be used to compare embeddings and identify similar data points. You will learn how to use these powerful tools to solve real-world problems in a variety of domains, including natural language processing, product recommendation, and image search. ...