Design · Orchestration
Model Cascade (FrugalGPT)
Try the cheapest model first; a confidence/verifier signal decides whether to escalate to a stronger (pricier) model. Queries stop at the first model good enough.
Verified against arxiv.org
How it works
Try the cheapest model first; a confidence/verifier signal decides whether to escalate to a stronger (pricier) model. Queries stop at the first model good enough.
At a glance
TechniqueCascade
Cost leverDramatically lower, up to 98% cost reduction reported
Latency leverLower for easy queries, higher for escalated ones
Quality leverMatches or beats GPT-4 at a fraction of cost on benchmarked tasks
ExampleFrugalGPT · FORC
When to use
Budget-constrained workloads with a long tail of easy queries and a clear signal for when the cheap answer is unreliable.
Basis
Verified against
https://arxiv.org/abs/2305.05176 The corpus does not rewrite vendor documentation. Where copy is quoted verbatim it is marked as such and attributed to its source.