I appreciate that! Focusing on getting better and better with each video… Currently working a series of Pinecone videos… you might find those interesting… if you have other video ideas feel free to let me know….
I like this idea of one concept per video. Thanks for contributing quality knowledge. Step by step you are building a very nice video-course with each concept cleanly explained, keep on the good work!
What a great explanation, I also have one question, I want to make a functionality using llms that compares two csvs together, as of the moment all i ever got from youtube was that the csv will be embedded and the prompt will become a sql query. I am highly doubting it, can you tell me some steps that i can do so that I can finish off this project easily. Thanks.
Glad you liked the video… If you have ideas on video you would like to see please let me know.. Some quick thoughts on your use-case of comparing to CSV files. This does not feel like an LLM’s use-case. Even using Embeddings does not feel like a good approach for comparing character level equivalence. Embeddings are are really good at capturing semantic relationships, context, and meaning, not the exact sequence of characters or words. So what would be a good way to solve your problem. To determine if two CSV files are character-to-character equal, you would need to use an exact comparison method, like: • Option 1: Compare the two CSV files as strings • Option 2: You could also hash both CSV files (i.e. using MD5 or SHA algorithms) and compare their hashes. If the hashes are identical, the CSV files are character-for-character equal. These are my thoughts on the best way you can solve this problem…
This video deserves more views! Thank you for the easy to grasp content ❤
I appreciate that! Focusing on getting better and better with each video… Currently working a series of Pinecone videos… you might find those interesting… if you have other video ideas feel free to let me know….
Thank you so much for putting out this helpful overview! That´s where inspiration gets boosted. All the best!
Glad it was helpful! Working hard to get better and better with each video… your feedback inspires me .. works both ways… 🙏
Very clear and concise. Just what I was looking for 👌
Glad you liked it! Really trying to get better with each video… clear and direct are big goals with each video….
I like how coherent the content is.
Thank you… really focusing on clear direct concise videos…. Thanks for feedback!!!
I like this idea of one concept per video. Thanks for contributing quality knowledge. Step by step you are building a very nice video-course with each concept cleanly explained, keep on the good work!
Thank you very much! I am hyper focused on getting better with each video… thanks for feedback!
This is absolutely fantastic content. Deserves more views!
Thanks you for feedback…. Trying to make every video better than the one before…
What a great explanation, I also have one question, I want to make a functionality using llms that compares two csvs together, as of the moment all i ever got from youtube was that the csv will be embedded and the prompt will become a sql query. I am highly doubting it, can you tell me some steps that i can do so that I can finish off this project easily. Thanks.
Glad you liked the video… If you have ideas on video you would like to see please let me know..
Some quick thoughts on your use-case of comparing to CSV files. This does not feel like an LLM’s use-case. Even using Embeddings does not feel like a good approach for comparing character level equivalence. Embeddings are are really good at capturing semantic relationships, context, and meaning, not the exact sequence of characters or words.
So what would be a good way to solve your problem. To determine if two CSV files are character-to-character equal, you would need to use an exact comparison method, like:
• Option 1: Compare the two CSV files as strings
• Option 2: You could also hash both CSV files (i.e. using MD5 or SHA algorithms) and compare their hashes. If the hashes are identical, the CSV files are character-for-character equal.
These are my thoughts on the best way you can solve this problem…