Lab | Embeddings

Introduction

In this lab, you will deepen your understanding of embeddings by applying them to practical tasks such as semantic similarity, clustering, and building a semantic search system. These exercises are designed to reinforce the concepts discussed in class and provide hands-on experience with pre-trained embedding models like Sentence Transformers. By the end of the lab, you'll have built functional tools that demonstrate the power of embeddings in solving real-world problems.

Getting Started

Complete your-code/main.ipynb. Follow the instructions and add your code and explanations as necessary.

Deliverables

• main.ipynb containing your responses.

Submission

• Upon completion, add your deliverables to git.
• Then commit git and push your branch to the remote.
• Make a pull request and paste the PR link in the submission field in the Student Portal.