Lessons Learned with Large Language Models
What part of your business can be wrong 20% of the time? Sales? Fulfillment? Accounting? The obvious answer is that 80% accuracy is a non-starter for most aspects of the modern enterprise. That should be cause for concern when leveraging Large Language Models. Yes, they are amazing, and they're getting better. But guardrails are required to make sure your GenAI outputs don't go off the rails.
Register for this episode of DM Radio to hear Bloor Group CEO Eric Kavanagh explain key components of LLMs and why they're different from traditional databases and information systems. He'll explain what…
The skinny
The skinny isn't ready yet — notes appear once the transcript is processed.