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Learner Reviews & Feedback for Learn Embeddings and Vector Databases by Scrimba
15 ratings
About the Course
This course offers an advanced journey into the realm of AI engineering, focusing on the creation, utilization, and management of embeddings in vector databases. Learners will begin by grasping the concept of embeddings and their pivotal role in AI's interpretative processes. The course progresses through practical exercises on setting up environment variables, creating embeddings, and integrating these into vector databases with tools like Supabase.
Participants will engage in challenges that test their ability to pair text with corresponding embeddings, manage semantic searches, and use similarity searches to query embeddings. They will also learn to create conversational responses with OpenAI and handle complex tasks like chunking text from documents.
What makes this course unique is its comprehensive coverage of both the theoretical aspects of AI embeddings and the practical skills needed to implement these concepts in real-world applications. By the end of the course, learners will not only have mastered the technical knowledge but will also have developed a proof of concept for an AI chatbot, ready to tackle advanced AI engineering challenges.
Top reviews
VS
Mar 21, 2024
las apps deben ser casos de uso utiles, mas que recomendar peliculas. Y si no tengo permitido salir a internet, como funciona localmente todo lo aprendido?
MM
Oct 11, 2024
Simple and easy to follow course with enough information about embeddings and vector databases with sample uses cases.
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1 - 3 of 3 Reviews for Learn Embeddings and Vector Databases
By Victor L K S
•Mar 22, 2024
las apps deben ser casos de uso utiles, mas que recomendar peliculas. Y si no tengo permitido salir a internet, como funciona localmente todo lo aprendido?
By mustafakok
•Oct 12, 2024
Simple and easy to follow course with enough information about embeddings and vector databases with sample uses cases.
By Mohammad A K
•Feb 12, 2024
luv u guys