DeepLearning.AI
Understanding and Applying Text Embeddings
DeepLearning.AI

Understanding and Applying Text Embeddings

Taught in English

Andrew Ng
Nikita Namjoshi

Instructors: Andrew Ng

Top Instructor

1,500 already enrolled

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

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.

Details to know

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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

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
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About this project

Instructors

Andrew Ng

Top Instructor

DeepLearning.AI
42 Courses7,199,368 learners
Nikita Namjoshi
DeepLearning.AI
1 Course1,500 learners

Offered by

DeepLearning.AI

How you'll learn

  • 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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4.8

30 reviews

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OT
5

Reviewed on Feb 22, 2024

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