Jul 4 in 💬 General
5 Steps to Build Your Own LLM Classification System
Classification tasks used to require custom ML models, putting them out of reach for many businesses.
But with Large Language Models, anyone can now build reliable classification systems.
These systems can add immense value by tagging content, adding metadata, and extracting keywords across various business processes.
However, out-of-the-box LLM classification systems often lack reliability and structure for real-world applications.
In this week's video, I walk you through 5 techniques to make your LLM classification systems production-ready.
We don't just teach these techniques – we use them daily to build high-performance AI apps for our clients. These 5 steps are the backbone of our production-ready solutions that drive real business results.
40
4 comments
5 Steps to Build Your Own LLM Classification System
skool.com/data-alchemy
Your Community to Master the Fundamentals of Working with Data and AI — by Datalumina®
Leaderboard (30-day)
1
+637
2
+578
3
+499
4
+337
5
+328
powered by