Luqadda AI HAGAHA
Qiimaynta LLM
LLM evaluation measures a language model or application against defined tasks and failure conditions.
Dhageyso hagahanAI-waa laga sheekeeyay · ~2 min
Boggaan2 daqiiqo akhri
Dulmar
Relevant dimensions can include factual accuracy, instruction following, retrieval use, robustness, cost, and response time. A single preference score rarely captures all of them.
Qaadashada furaha
- Evaluate the full application configuration.
- Validate grading methods themselves.
- Include abstention and adversarial cases.
quusid qoto dheer
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.
04Tusaale la shaqeeyay
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.
Maxay ku tusaysaa
This constructed case evaluates evidence handling rather than fluency.
Dhaqangelinta Adduunka-dhabta ah
Grade a document answer on whether every claim is supported by the supplied passage.
Verify generated code through meaningful behavioral tests and review.
Ku dhaqangelinta
Maxay muhiim u tahay
- Xawaaraha iyo miisaanka. Socodka shaqada luqaddu si dhakhso leh ayay u socon kartaa iyada oo aan la hurayn joogteynta.
- Helitaanka iyo gaarsiinta. Waxay balaadhisaa gelitaanka luqadaha iyo qaababka isgaarsiinta.
- Go'aamo cad. Kooxuhu waxay waqti badan ku qaadan karaan xukunka halka otomaatiggu uu qabanayo ku celcelinta.
Iska ilaali
- Xaqiiqooyinka dhalanteed waxay si deggan u geli karaan warbixinnada, taageerada socodka, ama natiijooyinka cilmi-baarista.
- Dareenka degdega ahi wuxuu abuuri karaa natiijooyin aan iswaafaqayn codsiyada la midka ah.
- Xogta qoraalka xasaasiga ah ayaa laga yaabaa in la kashifo haddii kontaroolada gelitaanka ay daciif yihiin.
Tallaabooyinka xiga
- Qeex qaabka wax soo saarka, codka, iyo heerarka tayada ka hor inta aan la baahin.
- Jawaabaha salka ku haya ilo lagu kalsoon yahay mar kasta oo saxnidu ay muhiim tahay.
- Hayso isbaarada dib u eegista bini aadamka ee wax soo saarka sare.
- Lasoco qaababka guuldarada oo dib u leyli dardargelinta ama socodka shaqada si joogto ah.
Ilaha iyo akhrin dheeraad ah
- Yen and colleaguesHELMET: evaluating long-context language models
Sii wad Sahaminta
Warqad bilaash ah
Hel warbixinta maalinlaha ah ee AI
Saddex sheeko oo la xaqiijiyay oo AI ah maalin kasta oo shaqo ah, oo lagu qoray Ingiriis fudud. Bilaash had iyo jeer, aan xayaysiis lahayn.
Hal iimayl maalin kasta oo shaqo ah. Ka bax hal gujin. Marna ma iibinno ama ma wadaagno ciwaankaaga.
Is tijaabi
Take the LLM Evaluations quiz
Fikrad degdeg ah oo ku saabsan jawaab kasta, iyo shahaado la wadaajin karo oo leh aqoonsi la xaqiijin karo markaad ka gudubto koorso.
Taageer waxbarashada AI bilaashka ah. AI Understanding waa 501(c)(3) aan faa'iido doon ahayn — xayaysiis la'aan, albaab lacag ah ma jiro, had iyo jeer. Samee deeq
Su'aalaha soo noqnoqda
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.
Sii wad waxbarashada
Tilmaamaha la xidhiidha
Tilmaamayaal badan ayaa loo doortay mawduucan