InoteveraGaidhi rinotevera
Guardrail Metrics in Model Experiments
Tekinoroji
Nhungamiro yehunyanzvi
Experiment Tracking
Kutevedzera kuyedza itsika yekurekodha yega yega muchina kudzidza inomhanya - kodhi yayo, data, hyperparameters, metrics, uye zvinobuda - saka mhedzisiro inodhinda uye inofananidzwa.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Pa peji ino2 min verenga
Pfupiso
Without it, the question 'which version was best and how did we get it?' becomes nearly impossible to answer.
Kudzika Kwakadzika
Kudzidzira modhi hakuwanzo pfuti imwe chete. Zvikwata zvinomhanyisa mazana kana zviuru zvezviedzo, kushandura mareti ekudzidza, saizi yebhetch, zvivakwa, uye dhatabhesi. Kuongorora kwekuyedza kunotora zvigunwe zvakazara zvekumhanya kwega kwega: iyo Git dhizaini, hashi yedataset, hyperparameter yese, metrics nekufamba kwenguva (kurasikirwa, kunyatsoita, F1), system info senge GPU mhando, uye zvigadzirwa zvakaita seakachengetwa emodhi huremu uye zvirongwa. Zvishandiso zvakaita seMLflow, Weights & Biases, Neptune, uye Comet nyora izvi otomatiki kuburikidza nemitsara mishoma yeAPI mafoni. Mubairo ndeyekuberekana (iwe unogona kudzokorodza iyo chaiyo inokunda gadziriso), kuenzanisa (kuronga uye sefa inomhanya padivi padivi), uye kubatana (vatinoshanda navo vanoona zvakayedzwa). Inoshandura kuyedza kwe ad-hoc kuita nhoroondo inotarisika, inotsvakwa.
Kuitwa muNyika yeChokwadi
Chikwata-chiono chekombuta chinoshandisa Weights & Biases kuenzanisa mazana maviri hyperparameter kutsvaira uye kuona iyo yekudzidza-chiyero chechirongwa chinokwirisa chokwadi chechokwadi.
Yekutanga inonyora iyo chaiyo Git kuzvipira uye dataset hashi kune yega yega MLflow run kuitira kuti mutongi anogona kuzoitazve modhi yakaita sarudzo yechikwereti.
Lab yekutsvagisa inoyerera per-epoch kurasikirwa macurves kune yakagovaniswa dashboard kuitira kuti vanobatana munzvimbo dzakasiyana dzenguva vakwanise kutarisa kudzidziswa kwakareba.
Chikwata cheNLP chinoteedzera mavhezheni nekukasira uye zvibodzwa zvekuongorora mukati meLLM-tuning zviedzo kuti isarudze gadziriso inonyatsoita isati yatumirwa.
Ramangwana Rekuedza Tracking
Kutevedzera kuyedza kuri kubatanidza mune yakakura MLOps uye LLMOps mapuratifomu. Sezvo nheyo dzemamodheru dzichitonga, kuronda kuri kuwedzera kubva kunhamba metrics kuenda kushanduro dzekukurumidza, maratidziro ekuongorora, uye zvemhando yakabuda. Otomatiki mutsara - kubatanidza kuyedza kune chaiyo dhataset, kodhi, uye yakadzika yakaisirwa modhi - iri kuita chiyero chehutongi uye nekuongorora zvinodiwa. Tarisira kubatanidzwa kwakasimba nezvitoro zvemhando, maregistries emhando, uye CI/CD, pamwe nerutsigiro rwakapfuma rwekutsvaira kwakagoverwa uye kwakasiyana-siyana uko zviuru zvezviedzo zvinotangwa nekuenzaniswa zvoga.
Kuzvishandisa
Nei zvichikosha
- Mutengo uye bhajeti. Zvisarudzo zvezvivakwa zvinotyaira kuita uye mutengo wekushandisa kwemakore.
- Sarudzo dzakajeka. Dzidzo yehunyanzvi inobatsira zvikwata kusarudza murwi wakakodzera, kwete iwo mutsva chete.
- Kudzora kwemhando yepamusoro. Sarudzo dzeinjiniya dziri nani dzinoderedza zviitiko zvekuvimbika mukugadzira.
Chenjera
- Kugadzirisa imwe bhenji kunogona kuvanza yakafara system kushaya simba.
- Infrastructure uye mari yekugadzirisa inowanzotarisirwa pasi.
- Chengetedzo uye kucherechedzwa mapundu anogona kukura sezvo masisitimu anowedzera kuoma.
Matanho anotevera
- Tsanangura latency, mhando, uye mutengo zvinangwa usati waitwa.
- Benchmark pasi pechokwadi mutoro uye data mamiriro.
- Chishandiso chekutarisa zvikanganiso, kudonha, uye mushandisi maitiro.
- Gadzirira nzira dzekudzosera kumashure uye dzezviitiko usati wawedzera.
Ramba Uchiongorora
Tsamba yemahara
Tora iyo yemazuva ese AI pfupiso
Nhatu dzakasimbiswa dzeAI nyaya mangwanani ega ega pakati pevhiki, dzakanyorwa neChirungu chakajeka. Yemahara zvachose, hapana ads.
Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.
Zviedze iwe pachako
Take the Experiment Tracking quiz
Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.
Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo
Mibvunzo inowanzo bvunzwa
What is Experiment Tracking?
Kutevedzera kuyedza itsika yekurekodha yega yega muchina kudzidza inomhanya - kodhi yayo, data, hyperparameters, metrics, uye zvinobuda - saka mhedzisiro inodhinda uye inofananidzwa. Pasina iyo, mubvunzo 'ndeipi shanduro yakanga yakanakisisa uye takaiwana sei?' zvinenge zvisingaite kupindura.
Ndechipi chinangwa chekutanga chekuyedza kutsvaga mukudzidza kwemichina?
Edza kutevedzera marekodhi kodhi, data, hyperparameters, uye metrics kuitira kuti kumhanya kunogona kudhindwa uye kuenzaniswa kune mumwe nemumwe.
Ndeupi musanganiswa wakakosha pakuita kuti dzidziso imwechete inyatsoita kuberekana?
Reproducibility inoda iyo chaiyo kodhi (semuenzaniso, Git commit), iyo yakafanana data, uye yakafanana kumisikidzwa - pamwe chete vanosarudza mhedzisiro.
Ndechipi cheizvi chiri chishandiso chakakurumbira chekutsvaga?
MLflow, pamwe chete neWeights & Biases, Neptune, uye Comet, inzvimbo inoshandiswa zvakanyanya yekuyedza yekutevera.
Mazhinji ma tracker ekuedza anowanzo tora sei metric panguva yekudzidziswa?
Matracker anofumura maAPIs amunodaidza mukati meiyo loop yekudzidzira kuti atore ma paramita kamwe uye metrics kakawanda, achiaendesa kune yekuchengetedza backend.
Ndekupi zvinhu zvakakura zvakaita sezviremera zvemodhi yakachengetwa zvinowanzochengetwa nehurongwa hwekuronda?
Mafaera mahombe anoenda kune chinhu kana chengetedzo yekugadzira, nepo metadata chitoro ichichengeta kuremedza mareferensi uye manhamba metrics uye paramita.
Ramba uchidzidza
Mazano anoenderana
Mamwe madhairekitori akasarudzirwa nyaya iyi