Decision models: cheaper judges and faster guardrails
Hosted by Arize AI
Register with organizer
What to look forward to
AI engineers will explore how decision models can score choices faster and more cheaply than LLMs, with a demo covering eval judging, real-time guardrails, and when an LLM is still the right fit. The intermediate 30-minute session with 15 minutes of Q&A assumes familiarity with LLMs, observability, and evaluations.
Inside the event
What does it cost to run an LLM judge on every span?
Decision models are small, fast models built to pick from a set of choices. You pass in the input and the choices. They return each choice with a probability that it is the right one. They do not write text. They run faster than an LLM, and they are cheap enough to run on every span.
In this session we will cover:
- What decision models are, and how the input and output work
- A short demo of a decision model in action
- Using them as eval judges
- How they compare with an LLM on cost and speed
- Using them as real-time guardrails
- Where they fit, and where an LLM is still the right call
Who this is for
AI engineers building and evaluating AI agents.
What you'll leave with
How to read a decision model's probabilities, and how to use one as an eval judge and a real-time guardrail.
Format
30 min live session with demos + 15 Q&A
Level
Intermediate. Assumes knowledge of LLMs, observability, and evals.
A seat from anywhere.
Register with the organizer for joining instructions and the event link.
Discovered through Cerebral Valley. Details come from the event listing and the organizer page; registration is managed by the organizer.
Last checked: Oct 31, 2026. Confirm current availability before making plans.
Organizer page checked: Oct 31, 2026. Check registration for the latest details.