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.
Understanding and Applying Text Embeddings
Instructors: Andrew Ng
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What you'll learn
Apply text embeddings for tasks such as classification, clustering, and outlier detection.
Modify the text generation behavior of an LLM by adjusting the parameters temperature, top-k, and top-p.
Apply the open source ScaNN (Scalable Nearest Neighbors) library for efficient semantic search.
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Only available on desktop
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Available only on desktop
This project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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Reviewed on Feb 22, 2024
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