video1.0<iframe src="https://www.loom.com/embed/708686e7128e49c6a1b70f889b756a4c" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/708686e7128e49c6a1b70f889b756a4c-08eaf467a445c65b.gif5186.0415In this video, I dive into the intricacies of working with large language models and their applications, particularly in querying databases. I discuss the importance of embeddings and how they help in document clustering and similarity searches. I also share some coding examples and emphasize the need for careful handling of queries to avoid errors. Please make sure to review the code examples I provided and let me know if you have any questions!