Yadda Za a Kwatanta LLMs da Samfuran AI Cikin Sauƙi

Yanayin AI ya cika da yawa—LLMs, hangen nesa, magana, fassara, da ƙari. Zaɓin samfurin da ya dace yana tantance inganci, jinkiri, da farashi. Amma kwatanta tsakanin masu samarwa bai kamata ya buƙaci SDKs goma da kwanaki na aikin haɗin kai ba. Wannan jagorar yana nuna tsarin aiki don tantance samfura—da yadda RabaAI yana ba ka damar kwatanta, gwada A/B, da sauya samfura tare da API ɗaya kuma haɗaɗɗen nazari.

TL;DR: ayyana nasara, gina ƙaramin saitin gwaji, gwada A/B akan ainihin zirga-zirga, da yanke shawara bisa fasali. Yi amfani da ShareAI don jagorantar 'yan takara, bin diddigi p50/p95 kuma $ a kowane 1K na tokens, sannan juya sunan manufofi zuwa wanda ya yi nasara.

Me yasa Kwatanta Samfuran AI Yake Da Mahimmanci

• Bambance-bambancen aiki: Wasu samfura suna yin fice a taƙaitawa, wasu suna haskakawa a QA na harsuna da yawa ko cire bayanai masu tushe. A hangen nesa, wani OCR yana yin fice a kan takardun biyan kuɗi yayin da wani ya fi dacewa da IDs/takardun karɓa.
• Ingantaccen farashi: Samfurin ƙirar ƙarshe na iya zama mai kyau—amma ba ko'ina ba. Kwatanta yana nuna inda zaɓi mai sauƙi/mai rahusa ya isa “mai kyau sosai.”
• Dacewar amfani: Chatbots, masu fassara takardu, da hanyoyin bidiyo suna buƙatar ƙarfi daban-daban.
• Aminci & rufe wurare: Lokacin aiki, samuwa a yankuna, da iyakokin farashi suna bambanta ta hanyar mai bayarwa—kwatanta yana bayyana ainihin ciniki na SLO.

Yadda ake Kwatanta LLM da Samfuran AI (Tsarin Aiki Mai Amfani)

1) Fayyace aikin & ma'aunin nasara

Ƙirƙiri taksonomi taƙaice na aiki (chat, taƙaitawa, rarrabuwa, cirewa, OCR, STT/TTS, fassara) kuma zaɓi ma'auni:

• Inganci: daidaito na ainihi/ma'ana, ƙasa/ƙimar ƙirƙira, nasarar amfani da kayan aiki.
• Jinkiri: p50/p95 da lokacin dakatarwa ƙarƙashin UX SLOs ɗinku.
• Farashi: $ a kowane 1K na tokens (LLM), farashi a kowane buƙata/miniti (muryar/ganewa).
• Gudun aiki & kwanciyar hankali: halayen iyaka, sake gwadawa, tasirin madadin.

2) Gina saitin kimantawa mai sauƙi

• Yi amfani da saitin zinariya (samfura 20–200) tare da lokuta masu wuya.
• OCR/Ganewa: takardun kudi, rasit, katunan shaida, hotuna masu hayaniya/ƙananan haske.
• Murya: sauti mai tsabta da mai hayaniya, laƙabi, rarrabewa.
• Fassara: fanni (shari'a/likitanci/talla), alkibla, harsunan da ba su da yawa.
• Ka kula da sirri: cire bayanan sirri ko amfani da nau'ikan kirkira.

3) Gudanar da gwaje-gwajen A/B da zirga-zirgar inuwa

Ci gaba da daidaita tambayoyi; bambanta samfurin/masu bayarwa. Yi alama kowane buƙata da: fasali, masauki, yanki, samfurin, sigar_tambaya. Haɗa ta yanki (shiri, rukuni, yanki) don ganin inda masu nasara suka bambanta.

4) Bincika & yanke shawara

Zana wani iyaka farashi–inganci. Yi amfani da samfuran masu daraja don hanyoyi masu tasiri, masu tasiri sosai ; tura batch/mai tasiri ƙasa zuwa samfurori masu tsadar da aka inganta zaɓuɓɓuka. Sake kimantawa kowane wata ko lokacin da masu bayarwa suka canza farashi/samfura.

Abin da za a auna (LLM + Multimodal)

• Rubutu / LLM: maki aiki, tushe, ƙin amsa/tsaro, nasarar kira kayan aiki, p50/p95, $ a kowane 1K na tokens.
• Gani / OCR: daidaiton matakin filin, daidaiton nau'in takardu, jinkiri, farashi/buƙata.
• Magana (STT/TTS): WER/MOS, ma'aunin lokaci na ainihi, sarrafa yanke/maimaita, samuwar yankin.
• Fassara: BLEU/COMET proxy, bin ka'idojin kalmomi, rufe harsuna, farashi.

Yadda ShareAI Ke Taimaka Maka Kwatanta Samfura

• API ɗaya zuwa samfura 150+: kira masu samarwa daban-daban tare da tsarin da aka hade kuma sunayen samfura—ba tare da sake rubutawa ba. Bincika a cikin Kasuwar Samfura.
• Hanyar tura manufofi: aika zirga-zirgar % zuwa 'yan takara (A/B), madubi inuwa zirga-zirga, ko zaɓi samfura ta mafi arha/mafi sauri/mai dogaro/mai bin doka.
• Hadadden bayanan telemetry: bi p50/p95, nau'ikan nasara/kuskure, $ a kowane 1K na tokens, da farashi a kowane fasali/masauki/shiri a cikin dashboard ɗaya.
• Sarrafa kashe kudi: kasafin kuɗi, iyakoki, da faɗakarwa don kada kimantawa su ba da mamaki ga Ma'aikatar Kuɗi.
• Tallafin haɗin kai tsakanin hanyoyi: LLM, OCR/ganewa, STT/TTS, fassara—kimanta iri ɗaya a cikin rukuni.
• Juya zuwa wanda ya ci nasara cikin aminci: da zarar ka zaɓi samfurin, ka musanya sunan manufofi don nuna shi—ba tare da canje-canje a cikin app ba.

Gwada shi kai tsaye a cikin Filin Tattaunawa kuma karanta API Farawa

FAQ: Kwatanta LLMs & Samfuran AI

Yaya ake kwatanta LLMs don SaaS? Fayyace ma'aunin aiki, gina ƙaramin saitin kimantawa, A/B akan zirga-zirgar kai tsaye, kuma yanke shawara bisa ga fasali. Yi amfani da ShareAI don rarrabawa + sa ido.

Ta yaya zan yi gwajin A/B na LLM akan zirga-zirgar inuwa? Aika da kashi ga samfuran samfuri (A/B); madubi kwafi a matsayin inuwa don gwaje-gwajen da ba tare da haɗari ba.

Waɗanne ma'aunin gwaji ne suka fi muhimmanci (LLM)? Daidaiton aiki, tushe, nasarar amfani da kayan aiki, p50/p95, $ a kowane 1K na tokens.

Yadda ake gwada APIs na OCR (takardun kuɗi/IDs/fitarwa)? Yi amfani da daidaiton matakin filin a kowane nau'in takardu; kwatanta jinkiri da farashi/bukata; haɗa binciken da ke da hayaniya.

Me game da samfuran magana? Auna WER, factor na lokaci-lokaci, da samuwar yankin; duba hayaniyar sauti da diarization.

Yadda ake kwatanta LLMs na buɗe-tushen da na mallaka? Tsayar da tambaya/tushen tsari; gudanar da gwaji iri ɗaya; haɗa farashi kuma jinkiri tare da inganci.

Yadda ake rage halucinoci / auna tushe? Yi amfani da tambayoyin da aka ƙara dawo da su, tilasta ambato, kuma auna daidaiton gaskiya akan saitin da aka yiwa alama.

Zan iya canza samfura ba tare da sake rubutawa ba? Eh—yi amfani da ShareAI’s API guda ɗaya kuma sunaye/politoci don sauya mai bayarwa na asali.

Yaya zan tsara kasafin kudi yayin gwaje-gwaje? Saita iyaka/gargadi kowane mai haya/abin fasali kuma tura ayyukan tsari zuwa samfurori masu tsadar da aka inganta politoci.

Kammalawa

Kwatanta samfuran AI yana da mahimmanci—don aiki, farashi, da amintuwa. Kulle cikin tsari, ba mai bayarwa guda ɗaya: ayyana nasara, gwada da sauri, kuma maimaita. Tare da RabaAI, za ka iya kimantawa a fadin 150+ samfura, tattara bayanan apples-to-apples telemetry, da sauya cikin aminci ta hanyar manufofi da aliases—don haka koyaushe za ka yi amfani da madaidaicin samfurin don kowanne aiki.

Bincika samfura a cikin Kasuwa • Gwada tambayoyi a cikin Filin wasa • Karanta Takardu kuma API Farawa • Kirkiri maɓallinka a cikin Kwamitin sarrafawa.