LLM Capabilities, Limits, and System Design
A fictional invoice pilot scores 97%, yet production exposes missing evidence, invented dates, and weak cost estimates despite schema-valid JSON.
A fictional invoice pilot scores 97%, yet production exposes missing evidence, invented dates, and weak cost estimates despite schema-valid JSON.
A supported schema constrains a successful response. Completion checks and semantic validation are still needed before the application accepts its values.
A model API call can fail in transport, be rejected, return unusable text, or return valid JSON that is wrong. Define what each outcome does to your application.
A language model outputs a distribution, and the decoder picks the tokens. Learn temperature and top-p, token masking for structured output, and how to evaluate it.