Mmastodon TechnologySoftware first seen 1 d ago, last 1 d ago, peak #12
Structured LLM output can parse and still be wrong
Original: TL;DR — Structured output and function calling guarantee that an LLM's response parses — they say nothing about whether
Developers are debating a common misconception in AI engineering: structured output and function calling only guarantee that a large language model's response conforms to a schema, not that the values inside it are accurate. Teams that treat schema validation as a success metric risk shipping tool calls that parse perfectly but are semantically wrong, arguing for deeper correctness checks beyond format validation.
Why now: It highlights a practical pitfall for teams building AI agents and tool-calling systems as adoption of LLM integrations grows.
LLMsstructured outputfunction callingHackaday
Evidence
- TL;DR — Structured output and function calling guarantee that an LLM's response parses — they say nothing about whether the values inside it are true. Teams that treat schema validation as a success metric end up shipping schema-conformant but semantically wrong tool calls, and… · hackaday@www.urbanmind.net · 3
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