Tathmini ya LLM
LLM evaluation measures a language model or application against defined tasks and failure conditions.
Muhtasari
Relevant dimensions can include factual accuracy, instruction following, retrieval use, robustness, cost, and response time. A single preference score rarely captures all of them.
Mambo muhimu ya kuchukua
- Evaluate the full application configuration.
- Validate grading methods themselves.
- Include abstention and adversarial cases.
Dive ya kina
Evaluate the system users actually receive. A model with retrieval, tools, and a particular prompt may behave differently from the same model tested alone. Preserve these settings with the evaluation record, including limits on tool calls and retries. Combine deterministic checks with judgments that require interpretation. Exact matching works for some extracted fields or executable tests, while a summary may need a rubric for evidence and omissions. Write the rubric so different reviewers can apply it consistently, and examine disagreements. A model can assist with grading, but its judgment is another measurement process with possible biases. Check it against independently reviewed examples, vary answer order where appropriate, and inspect whether it rewards verbosity or style more than correctness. Do not treat one model approving another as independent proof. Include unanswerable questions, conflicting sources, long-context cases, and malicious instructions in retrieved material when these are relevant. Report results by task and error severity. Retain failed examples as regression cases while refreshing held-out material so the evaluation does not become a memorized target.
Ufahamu wa Kiufundi
A refusal may be correct for an unsupported or disallowed request and incorrect for an ordinary answerable question. Scoring must account for the intended behavior of each test case.
Separate helpfulness from factual support
- Give a model an invented policy stating only that refunds are available within 14 days.
- Ask whether shipping is refunded. A confident answer is unsupported because the policy does not say.
- Score an answer that identifies the missing information more highly than an invented policy, even if the invention sounds more helpful.
This constructed case evaluates evidence handling rather than fluency.
Athari za kimkakati
Kasi na kiwango
Mitiririko ya kazi ya lugha inaweza kusonga kwa kasi zaidi bila kuacha uthabiti.
Kufikia na kufikia
Inapanua ufikiaji katika lugha na mitindo ya mawasiliano.
Maamuzi ya wazi zaidi
Timu zinaweza kutumia muda mwingi kufanya uamuzi huku otomatiki ikishughulikia marudio.
Utekelezaji wa Ulimwengu Halisi
Grade a document answer on whether every claim is supported by the supplied passage.
Verify generated code through meaningful behavioral tests and review.
Hatari & Walinzi
Mambo ya ukweli yanaweza kuingiza ripoti kwa utulivu, mitiririko ya usaidizi, au matokeo ya utafiti.
Usikivu wa haraka unaweza kuunda matokeo yasiyolingana katika maombi sawa.
Data nyeti ya maandishi inaweza kufichuliwa ikiwa vidhibiti vya ufikiaji ni dhaifu.
Ramani ya Utekelezaji
Bainisha umbizo la towe, toni na viwango vya ubora kabla ya kusambaza.
Majibu ya msingi na vyanzo vinavyoaminika wakati wowote usahihi ni muhimu.
Weka ukaguzi wa ukaguzi wa kibinadamu kwa matokeo ya juu.
Fuatilia mifumo ya kushindwa na fundisha tena vidokezo au mtiririko wa kazi mara kwa mara.
Vyanzo na kusoma zaidi
- Yen and colleaguesHELMET: evaluating long-context language models
Endelea Kuchunguza
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Mwongozo unaofuata
Maandishi Yanayozalishwa na LLM ya Kuashiria Maji
Maswali yanayoulizwa mara kwa mara
Can an LLM judge replace all human review?
It can help scale some checks, but its reliability needs validation for the rubric and domain. Consequential or ambiguous cases may require independent review.