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.
Complete main.ipynb. Follow the instructions and add your code and explanations as necessary.
main.ipynbcontaining your responses.
Upon completion, add your deliverables to git. Then commit git and push your branch to the remote.