Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...
A Brief History of Why Machine Learning Projects Stall
  EDITOR’S NOTE: This is the preface to The...
Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
SHARE THIS:

2 years ago
Generative AI Use Case: Using LLMs to Score Customer Conversations

 

Originally published in the Monte Carlo blog, July 15 2024.

Despite all the talk about AI replacing humans, Skynet blowing up the sun, and deep-fake celebrities parenting our children, it’s difficult to point to a generative AI use case that’s demonstrably more interesting than your average run-of-the-mill chatbot.

But what if instead of replacing customer support teams with chatbots, we could leverage AI to improve the performance of real human CS teams?

That’s exactly the problem that AssuranceIQ attempted to solve with its first foray into enterprise generative AI.

We recently spoke with Killian Farrell, Principal Data Scientist at insurance startup AssuranceIQ, to learn how his team built an LLM-based product to structure unstructured data and score customer conversations for developing sales and customer support teams.

Read on to find out what they did, and what they learned!

Comments are closed.