{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/708686e7128e49c6a1b70f889b756a4c\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/708686e7128e49c6a1b70f889b756a4c-08eaf467a445c65b.gif","duration":5186.0415,"title":"Understanding Large Language Models","description":"In 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!"}