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Learner Reviews & Feedback for Understanding and Applying Text Embeddings by DeepLearning.AI
67 ratings
About the Course
The Vertex AI Text-Embeddings API enhances the process of generating text embeddings. These text embeddings, which are numerical representations of text, play a pivotal role in many tasks involving the identification of similar items, like Google searches, online shopping recommendations, and personalized music suggestions.
During this course, you’ll use text embeddings for tasks like classification, outlier detection, text clustering and semantic search. You’ll combine semantic search with the text generation capabilities of an LLM to build a question-answering systems using Google Cloud’s Vertex AI.
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1 - 8 of 8 Reviews for Understanding and Applying Text Embeddings
By Openopen T
•Feb 23, 2024
a simple yet powerfull courses to understand how to do semantic search and using vertex ai
By Zehra G
•Sep 3, 2024
thanks for your effort dear Andrew NG for teaching
By Sangram R
•Mar 27, 2024
great short course. Andrew doesn't disappoint.
By Ahmed R
•May 10, 2024
Very interesting
By Natalie H
•Dec 6, 2023
very good
By Khải N T
•Jan 10, 2025
siuuuu
By Dhaivat J B
•Aug 4, 2024
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By Joaquin S
•Aug 20, 2025
All jupyter labs are pre-defined and you just run the code cells while Andrew speaks. The first jupyter lab throws a 'JSONDecodeError: Extra data: line 1 column 5 (char 4)', and it's a standstill