DeepLearning.AI
Embedding Models: From Architecture to Implementation
DeepLearning.AI

Embedding Models: From Architecture to Implementation

Ofer Mendelevitch

Instructor: Ofer Mendelevitch

Build in-demand job skills with step-by-step instructions
Beginner level

Recommended experience

1 hour
Learn at your own pace
Hands-on learning
Build in-demand job skills with step-by-step instructions
Beginner level

Recommended experience

1 hour
Learn at your own pace
Hands-on learning

What you'll learn

  • Gain an in-depth understanding of the architecture behind embedding models; and learn how to train and use them.

  • Learn how to use different embedding models such as Word2Vec and BERT in various semantic search systems.

  • Learn how to build and train dual encoder models using contrastive loss, enhancing the accuracy of question-answer retrieval applications.

Skills you'll practice

Details to know

Taught in English
Recently updated!

August 2024

No downloads or installation required

Only available on desktop

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
  • Gain hands-on experience solving real-world job tasks
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About this project

Instructor

Ofer Mendelevitch
DeepLearning.AI
1 Course149 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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