Gwaji Bibiya
Bin diddigin gwaji shine tsarin yin rikodin kowane na'ura mai sarrafa na'ura - lambar sa, bayanai, hyperparameters, awo, da abubuwan da aka fitar - don haka sakamakon yana iya sakewa da kwatankwacinsa.
Dubawa
Without it, the question 'which version was best and how did we get it?' becomes nearly impossible to answer.
Zurfafa nutsewa
Koyar da abin ƙira ba kasafai ne tsarin harbi ɗaya ba. Ƙungiyoyi suna gudanar da ɗaruruwa ko dubunnan gwaje-gwaje, tweaking ƙimar koyo, girman batch, gine-gine, da saitin bayanai. Binciken gwaji yana ɗaukar cikakken yatsan yatsa na kowane gudu: Git na lambar, hash na bayanai, kowane hyperparameter, ma'auni na tsawon lokaci (asara, daidaito, F1), bayanan tsarin kamar nau'in GPU, da kayan tarihi kamar adana ma'aunin ƙira da makirci. Kayan aiki kamar MLflow, Weights & Biases, Neptune, da Comet suna shiga wannan ta atomatik ta wasu layukan kiran API. Biyan kuɗi shine sake haɓakawa (zaku iya sake aiwatar da daidaitaccen tsari na nasara), kwatancen (nau'i da tace suna gudana gefe da gefe), da haɗin gwiwa (abokai suna ganin abin da aka gwada). Yana juya gwajin ad-hoc ya zama tarihi wanda za'a iya dubawa, mai bincike.
Fahimtar Fasaha
Yawancin masu sa ido suna aiki ta hanyar saka kiran shiga cikin madauki na horo. An ƙirƙiri gudu, ana shigar da sigogi sau ɗaya, kuma ana shigar da ma'auni akai-akai kowane mataki ko zamanin, yana gudana zuwa bayanan bayanan baya. Ana adana kayan tarihi (fayil ɗin ƙira, hotuna) dabam a cikin ma'ajin abu tare da nassoshi da aka adana a cikin ma'ajin metadata. Mahimmanci, ɗaukar nau'in lambar (Git SHA) da hash abun ciki na bayanan shigarwa shine abin da ke sa gudu da gaske za a iya sake bugawa - lambar da bayanai tare da daidaitawa daidai da sakamako mai ƙima.
Dabarun Tasiri
Kudin da kasafin kuɗi
Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru.
Shawarwari masu haske
Ilimin fasaha yana taimaka wa ƙungiyoyi su zaɓi tari mai kyau, ba kawai sabon abu ba.
Kula da inganci
Zaɓuɓɓukan injiniya mafi kyau suna rage abin dogaro a cikin samarwa.
Makomar Binciken Gwaji
Binciken gwaji yana haɗuwa zuwa manyan dandamali na MLOps da LLMOps. Kamar yadda samfuran tushe suka mamaye, bin diddigin yana faɗaɗa daga ma'auni na ƙididdigewa zuwa saurin juzu'i, alamun ƙima, da abubuwan ƙima. Layi ta atomatik - haɗa gwaji zuwa ainihin saitin bayanai, lamba, da ƙirar da aka tura ƙasa - yana zama daidaitaccen tsarin mulki da buƙatun dubawa. Yi tsammanin haɗin kai tare da shagunan fasali, rajistar samfuri, da CI/CD, da ƙarin tallafi don rarrabawa da share fage da yawa inda aka ƙaddamar da dubunnan gwaji da kwatanta ta atomatik.
Aiwatar da Gaskiyar Duniya
Ƙungiyar hangen nesa ta kwamfuta tana amfani da Ma'auni & Biases don kwatanta ɓangarorin hyperparameter 200 da gano jadawalin ƙimar koyo wanda ke haɓaka daidaiton inganci.
Farawa yana yin rajistar ainihin aikin Git da hash na bayanai don kowane gudu na MLflow don haka mai sarrafawa zai iya sake haifar da samfurin da ya yanke shawarar kiredit.
Lab binciken bincike yana fitar da madaidaicin hasara na kowane zamani zuwa dashboard mai raba don haka masu haɗin gwiwa a yankuna daban-daban na iya sa ido kan ayyukan horo na tsawon lokaci.
Wata ƙungiyar NLP tana bin juzu'i masu sauri da ƙimar ƙima a cikin gwaje-gwajen daidaitawa na LLM don zaɓar tsari mafi kyawun aiki kafin turawa.
Hatsari & Tsare-tsare
Haɓaka ma'auni ɗaya na iya ɓoye manyan raunin tsarin.
Sau da yawa ana raina kayan more rayuwa da kuma kuɗin kulawa.
Tsaro da gibin lura na iya girma yayin da tsarin ke ƙara haɓaka.
Taswirar Hanya
Ƙayyade latency, inganci, da maƙasudin farashi kafin aiwatarwa.
Alamar ma'auni a ƙarƙashin ainihin kaya da yanayin bayanai.
Kula da kayan aiki don kurakurai, ɗigo, da tasirin mai amfani.
Shirya bijirowa da hanyoyin mayar da martani kafin sikeli.
Ci gaba da Bincike
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Jagora na gaba
MLflow da Model Lifecycle Tracking
Tambayoyin da ake yawan yi
What is Experiment Tracking?
Bin diddigin gwaji shine tsarin yin rikodin kowane na'ura mai sarrafa na'ura - lambar sa, bayanai, hyperparameters, awo, da abubuwan da aka fitar - don haka sakamakon yana iya sakewa da kwatankwacinsa. Ba tare da shi ba, tambayar 'wanne sigar ya fi kyau kuma ta yaya muka samu?' ya zama kusan ba zai yiwu a ba da amsa ba.
Menene ainihin manufar bin diddigin gwaji a cikin koyon injin?
Gwada gwada rikodin rikodin, bayanai, hyperparameters, da ma'auni don a iya sake yin gudu da kwatanta juna.
Wanne hade yake da mahimmanci don sanya horo guda ya gudana da gaske?
Sabuntawa yana buƙatar ainihin lambar (misali, Git ƙaddamar), bayanai iri ɗaya, da tsari iri ɗaya - tare suna ƙayyade sakamakon.
Wanne daga cikin waɗannan shahararren kayan aikin binciken gwaji ne?
MLflow, tare da Weights & Biases, Neptune, da Comet, dandamali ne na bin diddigin gwaji da ake amfani da shi sosai.
Ta yaya yawancin masu bin diddigin gwaji suke ɗaukar awo yayin horo?
Masu sa ido suna fallasa APIs ɗin da kuke kira a cikin madauki na horo don shiga sigogi sau ɗaya da awo akai-akai, suna yawo su zuwa bayanan ajiya.
Ina manyan kayan tarihi kamar ajiyayyun ma'aunin ƙira galibi ana adana su ta tsarin bin diddigi?
Manya-manyan fayiloli suna zuwa ga abu ko ma'ajiyar kayan tarihi, yayin da ma'adinan metadata ke adana nassoshi marasa nauyi da ma'auni da sigogi.