Vector Embeddings Tutorial – Create an AI Assistant with GPT-4 & Natural Language Processing
via freeCodeCamp
Overview
Dive into the world of vector embeddings and their applications in machine learning and artificial intelligence through this comprehensive tutorial. Explore the concept of text embeddings, understand their various use cases, and learn how to generate custom text embeddings using OpenAI. Discover the relationship between vectors and databases, and gain hands-on experience in setting up a database for your project. Delve into Langchain and its capabilities, and ultimately apply your newfound knowledge to create your own AI assistant. From fundamental concepts to practical implementation, this tutorial equips you with the skills to leverage vector embeddings in your AI projects.
Syllabus
⌨️ Introduction
⌨️ What are vector embeddings?
⌨️ Text embeddings
⌨️ What are vector embeddings used for?
⌨️ How to generate our own text embedding with OpenAI
⌨️ Vectors and databases
⌨️ Getting our database set up
⌨️ Langchain
⌨️ Let’s build an Ai Assistant
Taught by
freeCodeCamp.org
Reviews
4.5 rating, based on 2 Class Central reviews
Showing Class Central Sort
-
must say it exceeded my expectations. The course provided a comprehensive and hands-on approach to understanding vector embeddings, leveraging GPT-4, and diving into the fascinating world of Natural Language Processing. The instructor's explanatio…
-
It was very well explained how to execute it, and the examples were great. I just missed the vector cosine explanation, I think it would be a great benefit if that would have taken a bit more time to let really sink in how vector space works and what the cosine truly means.