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
Understanding and Applying Text Embeddings
Taught in English
Instructors: Andrew Ng
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Build in-demand job skills with step-by-step instructions
4.8
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Beginner level
Recommended experience
1 hour
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
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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Project
Build in-demand job skills with step-by-step instructions
4.8
(30 reviews)
Beginner level
Recommended experience
1 hour
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
See how employees at top companies are mastering in-demand skills
Learn, practice, and apply job-ready skills in less than 2 hours
- Receive training from industry experts
- Gain hands-on experience solving real-world job tasks
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Hands-on, project-based learning
Practice new skills by completing job-related tasks with step-by-step instructions.
No downloads or installation required
Access the tools and resources you need in a cloud environment.
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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