Asking a Large Language Model How YouTube Works
Read OriginalThis article details a technical experiment where the author uses OpenOrca's Platypus2 13B LLM, integrated via LangChain and pgvector in PostgreSQL, to ask questions and analyze Google's Procella paper about YouTube's database architecture. It includes step-by-step setup instructions for the environment, tools, and dependencies required to run the LLM and perform vector similarity searches on the technical document.
0 comments
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser
Top of the Week
1
The Beautiful Web
Jens Oliver Meiert
•
2 votes
2
When your coding agent doesn’t understand your project, you’ll get junk
Benjamin Cane
•
1 votes
3
LLM Use in the Python Source Code
Miguel Grinberg
•
1 votes
4
Wagon’s algorithm in Python
John D. Cook
•
1 votes
5
An example conversation with Claude Code
Dumm Zeuch
•
1 votes