DLSEI 3.0 Cohort 3 registration has been closed.

Product Reviews Text-based Search - OpenAI Text Embedding

Included with DLSEI 3.0

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

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Guided project Level

Recommended experience

5.00 Hours

Learn at your own pace

Data Science

Domain

About this guided project

In this two-hour guided project, you will utilize the OpenAI API for text-based document search using the OpenAI text embedding model. SphereZone, a leading security system company, has enlisted your expertise to enhance their customer product review analysis system. They require an intelligent text-based document search algorithm to parse through their customer reviews and evaluate how individuals are discussing various aspects of their product. You will be provided with a dataset containing 89 customer reviews related to their Solar-Powered Outdoor Security Camera. As an AI Engineer, your objective is to utilize OpenAI text-embedding models to develop a Python application for this purpose. To get the most out of this course, you'll need access to the OpenAI API Key and a basic understanding of data analysis concepts, including data types, and data manipulation, along with some familiarity with Python.

What skills will you gain?

Dimensionality Reduction

Generative AI

OpenAI

Artificial Intelligence

Data Science