In this two-hour guided project, you will utilize the OpenAI API for text-based document search using the OpenAI text embedding model.
Product Reviews Text-based Search - OpenAI Text Embedding
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Learn, practice, and apply job-ready skills with expert guidance
Intermediate level
Recommended experience
2 hours
Learn at your own pace
Hands-on learning
What you'll learn
Utilize OpenAI Text Embedding models for document text-based search
Apply vector similarity measures for document text-based search
Visualize text embedding vectors with Principal Component Analysis (PCA)
Skills you'll practice
Tools you'll use
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
No downloads or installation required
Only available on desktop
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Learn, practice, and apply job-ready skills in less than 2 hours
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- Gain hands-on experience solving real-world job tasks
- Build confidence using the latest tools and technologies
About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Set up project environment
Explore OpenAI's text embedding model
Extract embedding vectors of the product reivews
Visualize the embedding vectors
Perform text-based search
Recommended experience
Access to the OpenAI API. A basic understanding of data analysis concepts, A fundamental grasp of Python programming.
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Instructor
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How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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