Free Lesson
Stop Paying Full Price for LLM Classification
Part of AI Product Engineering
45 min
Jul 30, 2026 1:00 PM
Virtual (Zoom)
In this video
What you'll learn
Find where you're overpaying
Spot the requests where you're handing a hard model an easy job.
Build a cheaper-first pipeline
Use an agent to find cheaper stand-ins and run those first, calling your best model only when the cheap path is unsure.
Lock in an accuracy floor
Set an accuracy target against the model you trust and tune the workflow to stay above it.
Why this topic matters
A lot of LLM products spend a fortune sending every request to an expensive model. Often the model is making a simple decision, like which model should handle a request or whether a document is relevant. These are classification problems, and because you can check the answer, you can make them cheaper and faster without losing quality. We'll show you how, on real data.
You'll learn from
Shreya Shankar
AI researcher; incoming CS Professor at Carnegie Mellon
Hamel Husain
ML Engineer with 20+ years of experience