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Fine-tuned GPT-3.5 Turbo returns unexpected responses outside defined classes

6/10 Medium

Fine-tuned models sometimes generate responses that don't match the defined classification classes, requiring application-level validation layers and iterative refinement of training data.

Category
compatibility
Workaround
partial
Stage
deploy
Freshness
persistent
Scope
single_lib
Upstream
open
Recurring
Yes

Sources

Collection History

Query: “What are the most common pain points with OpenAI API for developers in 2025?3/30/2026

You may get unexpected responses from the API that don't match the defined classes in fine-tuned models.

Created: 3/30/2026Updated: 3/30/2026