Evaluation (Evals)
Systematic tests that measure how well your LLM system performs against expectations.
Evals are unit tests for LLM systems. You curate a set of inputs + expected outputs (or judges), run them through your system, and score the results. Run them in CI to catch regressions.
Two main types: deterministic evals (does the bot trigger the right tool with the right args?) and LLM-judge evals (does the response read naturally + answer the question?).
Production LLM systems live or die on their eval suite.
Esempio in GlobalChatbot
GlobalChatbot runs 500+ evals per system prompt change — covering correctness, tool selection, refusal patterns, multilingual quality.
Vedi in azione.
GlobalChatbot — agente AI per aziende serie. Configurazione in 5 minuti, 45 lingue, senza carta richiesta.
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