AGI (Artificial General Intelligence)
Iyo yekufungidzira AI sisitimu iyo inogona kuita akawanda enjere mabasa padanho remunhu munzvimbo dzakawanda.
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Iyo AI Glossary
Essential technical terminology inotsanangurwa padanho repamusoro rekujeka. Yakagadzirirwa vaongorori, vadzidzi, uye dzidzo inotariswa nevanhu.
Kuratidza 213 kuenzanisa mazwi.
AI Mumiririri
Iyo software system inogona kuona, kufunga, uye kutora matanho kuti uwane chinangwa, kazhinji uchishandisa maturusi uye ndangariro.
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AI Alignment
Basa rekugadzira masisitimu eAI aite zvinoenderana nezvinangwa zvevanhu, tsika, uye zvipingaidzo zvekuchengetedza.
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AI Governance
Mitemo, zviyero, uye nzira dzekutarisa dzinotungamira magadzirirwo nekushandiswa kweAI munharaunda.
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AI Kuchengetedza
Munda wakatarisana nekudzikisira maitiro anokuvadza, kutadza, uye njodzi yekushandisa zvisizvo muAI masisitimu.
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Algorithm
Mitemo yakatsanangurwa kana matanho anoteverwa nekombuta kugadzirisa dambudziko kana kupedza basa.
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Algorithmic Bias
Kusarurama kwakarongeka mumienzaniso yezvinobuda zvichikonzerwa nedata rakatsveyamiswa, fungidziro, kana sarudzo dzemuenzaniso.
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Algorithmic Transparency
Zvakajeka sei iyo AI system's logic, data masosi, uye zvisingakwanisi zvakanyorwa uye zvinonzwisisika.
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Annotation
Mazita akawedzerwa nevanhu kana metadata inoshandiswa kudzidzisa kana kuongorora mhando dzekudzidza dzemuchina.
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API (Application Programming Interface)
Nzira yakarongeka yeimwe software system yekutumira zvikumbiro uye kugamuchira mhinduro kubva kune imwe system.
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Artificial Intelligence (AI)
Nzvimbo yakafara yekuvaka masisitimu anoita mabasa anoda kucherechedzwa kwepateni, kufunga, mutauro, kana kuita sarudzo.
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Attention Mechanism
Chikamu chemodhini chinotarisa zvine simba pazvikamu zvinoenderana zvechipo kana uchigadzira zvinobuda.
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Autonomous System
Iyo sisitimu inogona kuita sarudzo uye kuita neinogumira kana isina yakananga kutonga kwevanhu munguva chaiyo.
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Backpropagation
Iyo yakakosha kudzidziswa algorithm inogadziridza maremu emhando nekuparadzira zvikanganiso zvekufungidzira kumashure kuburikidza netiweki.
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Baseline Model
A simple reference modhi inoshandiswa kuenzanisa kana dzimwe nzira dzakaoma kunzwisisa dzinonyatsoita mhedzisiro.
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Benchmark
Muedzo wakamisikidzwa kana dhatabheti rinoshandiswa kuyera nekuenzanisa kuita kwemuenzaniso.
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Rusarura
Chimiro chinowirirana chekukanganisa kana kusaruramisira mune data kana maitiro emuenzaniso.
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Big Data
Yakakura kwazvo uye yakaoma dataset inoda scalable kuchengetedza uye kugadzirisa maitiro.
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Black-Bhokisi Model
Muenzaniso une kufunga kwemukati kwakaoma kududzira zvakananga nevanhu.
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Calibration
Zvibodzwa zvekuvimbo zvemodhi zvinonyatsoenderana nei zvingangoitika.
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Chain-of-Pfungwa
Chimiro chekufunga uko iyo AI modhi inobvisa dambudziko kuita nhanho dzepakati.
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Classification
Basa iro modhi inogovera yekuisa kune imwe kana akawanda akatemerwa chikamu.
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Classifier
Muenzaniso wakagadzirirwa zvakanangana nemapoka emabasa.
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CLIP
Iyo multimodal modhi yekuvaka iyo inodzidza yakagovaniswa inomiririra pakati pezvinyorwa nemifananidzo.
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Compute
Zvishandiso zvekugadzirisa zvinodiwa kudzidzisa nekumhanyisa modhi, kazhinji kuyerwa muFLOPS kana GPU maawa.
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Computer Vision
Bazi reAI rinotora zvinoreva kubva kumifananidzo nemavhidhiyo.
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Context Window
Iyo yakawanda yehuwandu hwekupinza tokeni iyo modhi yemutauro inogona kugadzirisa kamwechete.
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Continual Learning
Nzira dzekudzidzisa dzinoita kuti modhi irambe ichidzidza kubva kune itsva data pasina kukanganwa ruzivo rwekare.
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Convolutional Neural Network (CNN)
A neural architecture yakagadziridzwa kugadzirisa grid-senge data senge mifananidzo.
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Cross-Entropy Loss
Chinhu chakafanana chinangwa chebasa rinoshandiswa kudzidzisa mhando dzemhando nekuranga zvingangoitika zvisirizvo.
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Data Kuwedzera
Matekinoroji anogadzira akagadziridzwa ekudzidzisa mienzaniso yekuvandudza modhi generalization.
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Data Drift
Shanduko mune chaiyo-yenyika yekupinza data nekufamba kwenguva iyo inogona kudzikisira modhi maitiro.
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Data Labeling
Maitiro ekugovera ma tag kana zvinongedzo zvinobuda kune yakabikwa data yekudzidza inotariswa.
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Dataset
Muunganidzwa wemienzaniso yakarongeka kana isina kurongeka inoshandiswa pakudzidzisa, kusimbisa, kana kuyedza.
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Muganhu weChisarudzo
Nzvimbo yenzvimbo munzvimbo inopatsanura makirasi akafanotaurwa nemugadziri.
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Muti Wechisarudzo
Modhi inoita fungidziro kuburikidza nenhevedzano yekuti kana-ipapo chimiro chinopatsanurwa.
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Kudzidza Kwakadzika
Chikamu chekudzidza kwemichina chinoshandisa akawanda-layer neural network yekumiririra kudzidza.
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Diffusion Model
Chigadzirwa chekugadzira chinodzidza kudzoreredza ruzha kugadzira mifananidzo, odhiyo, kana zvimwe zvirimo.
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Distillation
Kudzvanya ruzivo kubva kune hombe mudzidzisi modhi kuita mudiki modhi yemudzidzi.
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Domain Adaptation
Nzira dzekufambisa modhi yakadzidziswa mune imwe dura kuita zvirinani mune imwe dura.
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Embedding
Nhamba yeVector inomiririra inotora zvinoreva semantic yezvinyorwa, mifananidzo, kana imwe data.
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Encoder
Icho chikamu chemuenzaniso chinoshandura chinopinza kuita chiratidziro chakavanzika.
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Ensemble
Kubatanidza fungidziro kubva kune akawanda mamodheru kuvandudza kusimba kana huchokwadi.
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Evaluation Set
Dhata rakachengetwa rinoshandiswa kuyera mhando yemhando mushure mekudzidziswa.
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Kutsanangura
Mwero wekuti maitiro emuenzaniso anogona kududzirwa nekutsanangurirwa vanhu.
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False Negative
Kufanotaura kwakashata uko modhi inopotsa nyaya yakanaka yechokwadi.
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False Positive
Kufembera kusiri iko uko modhi inoratidzira zvisirizvo nyaya isina kunaka seyakanaka.
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Feature
Musiyano wekupinza unoshandiswa nemodhi kuita fungidziro.
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Feature Engineering
Kugadzira kana kushandura mabhii ekushandisa kuita kuti kudzidza kuve nyore uye kunoshanda.
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Feature Extraction
Kushandura data raw kuita zvinhu zvinodzidzisa izvo modhi inogona kushandisa.
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Vashoma-Kupfura Kudzidza
Kudzidza kana kugadzirisa maitiro kubva kunhamba shoma yemienzaniso.
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Fine-Tuning
Kuenderera mberi nekudzidziswa padomeine-chaiyo data kugadzirisa iyo isati yadzidziswa modhi kune rimwe basa.
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Foundation Model
Iyo yakakura isati yadzidziswa modhi iyo inogona kuchinjika kune akawanda ezasi mabasa.
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Basa Kufona
Muenzaniso wekugona kugadzira mafoni akarongeka anotanga maturusi ekunze kana maAPI.
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GAN (Generative Adversarial Network)
Chigadzirwa chekugadzira apo jenareta nerusarura vanodzidzisana.
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Generalization
Iyo modhi inoita zvakanaka sei pane nyowani, isingaonekwe data kunze kweseti yekudzidziswa.
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Generative AI
AI masisitimu anoburitsa zvinyorwa zvitsva senge zvinyorwa, mifananidzo, odhiyo, vhidhiyo, kana kodhi.
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Gradient
Vector inoratidza kuti yakawanda sei parameter imwe neimwe inofanira kuchinja kuderedza kurasikirwa.
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Gradient Descent
Iyo optimization nzira inogadziridza parameter munzira inoderedza kukanganisa.
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Ground Chokwadi
Mareferenzi akavimbika anoshandiswa kudzidzisa kana kuongorora mamodhi ezvinobuda.
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Guardrails
Mitemo, macheki, uye zvidzoro zvinodzikamisa maitiro asina kuchengetedzeka kana asingadiwi.
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Kufungidzira
Kana modhi inogadzira ruzivo rwakatsetseka asi rwenhema kana rusingatsigirwe.
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Munhu-mu-the-Loop
Kufambiswa kwebasa uko vanhu vanoongorora, kutungamira, kana kupfuudza zvinobuda muAI.
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Hyperparameter
Iko kukosha kwekugadzirisa kusati kwatanga kudzidziswa, seyero yekudzidza, saizi yebatch, kana kudzika.
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In-Context Kudzidza
Kugona kwemuenzaniso kutevedzera mapatani kubva kumienzaniso yakapihwa zvakananga mukukasira.
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Inference
Chikamu chenguva yekumhanya apo modhi yakadzidziswa inogadzira fungidziro kana zvinobuda.
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Inference-Nguva Compute
Huwandu hwesimba rekugadzirisa rinopedzwa paunenge uchigadzira mhinduro yega yega.
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Instruction Tuning
Kunyatsogadzirisa modhi pamirairo-mhinduro mbiri kuti uvandudze basa rinotevera.
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Chinangwa Classification
Kufanotaura chinangwa chemushandisi kubva pane zvinyorwa kuti zvifambe nemazvo.
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Jailbreak
Nzira yekukurumidza ine chinangwa chekunzvenga zvipingamupinyi zvekuchengetedza zvemodhi.
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Knowledge Cutoff
Iyo yazvino poindi yenguva inoratidzwa mune yemuenzaniso data yekudzidziswa.
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Ruzivo Distillation
Kudzidzira modhi diki yekutevedzera zvinobuda zvemhando yakakura.
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Ruzivo Girafu
Chimiro chegirafu chemasangano uye hukama hunoshandiswa kufunga kana kudzoreredza.
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Label Smoothing
Iyo yenguva dzose nzira inopfavisa mavara akaomarara kuvandudza generalization.
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Kunonoka
Nguva iri pakati pekutumira chikumbiro uye kugamuchira zvakabuda zvemodhi.
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Mutauro Mukuru (LLM)
Mutauro wemodhi yakadzidziswa pane yakakura text corpora kugadzira nekuongorora zvinyorwa.
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Kudzidza Rate
Iyo hyperparameter yekudzidzira inodzora kuti yakawanda sei paramita inoshandura nhanho yega yega yekuvandudza.
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LoRA (Low-Rank Adaptation)
A parameter-inoshanda zvakanaka-tuning nzira inowedzera yakaderera-rank adapter matrices.
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Kurasikirwa Basa
Chinangwa chemasvomhu chinotaridza kukanganisa kwekufungidzira panguva yekudzidziswa.
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Kudzidza Muchina (ML)
Nzira dzinobvumira masisitimu kudzidza mapatani kubva kune data uye kugadzirisa nekufamba kwenguva.
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Memory (Agent Memory)
Yakachengetwa mamiriro mumiriri weAI anoshandisa pamatanho kana masesheni kuvandudza kuenderera.
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Musanganiswa weNyanzvi (MoE)
Chivakwa chine hunyanzvi subnetworks uko chete nyanzvi dzakasarudzwa dzinomhanya pane yekuisa.
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Model Card
Zvinyorwa zvinotsanangura kushandiswa kwemuenzaniso, metrics, zvisingakwanisi, uye njodzi.
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Model Drift
Kudzikira kwekuita nekufamba kwenguva sezvo mamiriro epasirese chaiwo anosiyana kubva pakufungidzira kudzidziswa.
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Model Quantization
Kuderedza kurongeka kwenhamba yezviyereso zvemuenzaniso kuderedza ndangariro uye mutengo wekufungidzira.
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Multimodal Model
Modhi inogona kugadzirisa kana kugadzira akawanda emhando dzedata senge zvinyorwa, mufananidzo, uye odhiyo.
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Inonzi Entity Recognition (NER)
Basa reNLP rinoratidza masangano akaita sevanhu, nzvimbo, mazuva, kana masangano.
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Kugadzirisa Mutauro Wechisikigo (NLP)
Bazi reAI rakanangana nekunzwisisa nekugadzira mutauro wevanhu.
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Neural Network
A layered computational modhi yakafuridzirwa nebiological neurons uye synapses.
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Normalization
Kushandura maitiro kune chikero chinowirirana kuti uvandudze optimization kugadzikana.
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OCR (Optical Character Recognition)
Tekinoroji inoshandura mavara mumifananidzo kana scanner kuita mavara anoverengwa nemuchina.
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Open-Source Model
Modhi yakaburitswa ine huremu hweveruzhinji kana kodhi yekuongorora, kuchinjika, uye kushandiswazve.
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Overfitting
Kana modhi inobata nemusoro data yekudzidziswa uye ichiita zvisina kunaka pane zvisingaonekwe.
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Parameter
Chiyero chakadzidzwa mukati memuenzaniso chinokanganisa zvabuda.
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Parameter-Inoshanda Fine-Tuning (PEFT)
Nzira dzinogadzirisa mamodheru nekudzidzisa diki diki rekuwedzera paramita.
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Perplexity
Mutauro-modhiyo metric inoyera kuti modhi inoshamiswa sei nematokeni echokwadi anotevera.
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Pipeline
Iyo yakarongedzerwa kufambiswa kwebasa rekutanga, nhanho dzemuenzaniso, uye postprocessing matanho.
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Precision
Chikamu chezvakafanotaurwa zvakanaka izvo ndizvo chaizvo.
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Pretraining
Yekutanga yakakura-yemwero modhi yekudzidziswa pane yakafara data isati yadzika yakadzika adapta.
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Prompt
Mirayiridzo yekupinza uye mamiriro akapihwa kune inogadzirwa modhi.
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Prompt Injiniya
Kugadzira zvinokurudzira kuvandudza goho mhando, kuvimbika, uye controllability.
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Prompt Jekiseni
Nzira yekurwisa apo mirairo ine hutsinye inoiswa mumamodhi ekuisa kana kudzoreredzwa zvirimo.
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Kuchekerera
Kubvisa zviremu zvisingakoshi zvemuenzaniso kana neurons kuderedza saizi uye compute.
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Quantization
Kushandura huremu hwemodhi kudzikisa mafomati chaiwo se8-bit kana 4-bit.
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RAG (Kudzoreredza-Kuwedzera Chizvarwa)
Nzira iyo inotora ruzivo rwekunze uye ichidyisa muchizvarwa panguva yekufungidzira.
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Recall
Chiyero chezvakanaka chaizvo izvo muenzaniso unonyatso ratidza.
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Recommendation System
Iyo modhi pombi inofanotaura zvido zvevashandisi zvekuisa zvemukati kana zvigadzirwa.
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Red Teaming
Kushushikana-kuyedza iyo AI sisitimu ine mhandu inosimudzira kuratidza kutadza uye njodzi.
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Kusimbisa Kudzidza
Kudzidziswa nemasaini masaini apo mumiririri anodzidza zviito zvinowedzera kudzoka kwenguva refu.
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Kusimbisa Kudzidza kubva kuHuman Feedback (RLHF)
Nzira yekudzidzisa inoshandisa zviratidzo zvinofarirwa nevanhu kugadzira maitiro emuenzaniso.
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Retrieval
Kutsvaga magwaro akakodzera kana marekodhi kubva kune ruzivo ruzivo rwemubvunzo.
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Reward Model
Modhi inoburitsa zvibodzwa zvichibva pazviratidzo zvekuda, zvinowanzo shandiswa mumapaipi eRLHF.
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Kusimba
Kugona kwe modhi kuchengetedza kuita pasi peruzha, mashifiti, kana mapindiro eanopikisa.
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Sefa yekuchengetedza
A moderation layer inovharira kana kunyora zvekare mamodhi asina kuchengetedzeka kana zvinobuda.
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Scaling Law
Hukama hwehumwe hunoratidza kuti mashandiro anovandudzika sei nemhando yemhando, data, kana komputa.
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Semantic Search
Tsvaga inofambirana nerevo kwete chaiyo keyword overlap, kazhinji uchishandisa embeddings.
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Kuzvitarisira Kudzidza
Kudzidza zvinomiririra kubva kudata risina kunyorwa nekufanotaura zvikamu zvakafukidzwa kana zvakashandurwa.
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Sentiment Analysis
Basa reNLP rinorongedza toni yemanzwiro kana maonero mune zvinyorwa.
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Muteuro Mutauro Mudiki (SLM)
Mutauro wakakwana wemodhi yakakwenenzverwa kuti iite yakaderera latency, mutengo, kana kushandisa-pa-mudziyo.
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Sparse Model
Modhi umo ma paramita mazhinji ari zero kana kusashanda kudzikisa computation.
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Kudzidza Kunotariswa
Kudzidzisa modhi ine mienzaniso yakanyorwa inoisa mepu kune zvinobuda zvinozivikanwa.
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Synthetic Data
Data rakagadzirwa nemaoko rinoshandiswa kuwedzera, kutevedzera, kana kuchengetedza ruzivo rwekudzidzisa.
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System Prompt
Murairo wepamusoro-soro unoisa maitiro, mutemo, uye maitiro ekupindura emuenzaniso.
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Tembiricha
Sampling setting inodzora kusarongeka mune zvakabuda.
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Chiratidzo
Chikamu chemavara chinogadziriswa nemhando dzemitauro, senge chidimbu chezwi kana chiratidzo.
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Tokenization
Maitirwo ekupatsanura mavara kuita tokens yemhando yekuisa.
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Tool Kushandisa
Kugona kwemuenzaniso kudaidza maturusi ekunze akadai sekutsvaga, macalculator, kana maAPI.
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Top-k Sampling
A decoding strategy iyo samples chete kubva k ingangoita anotevera tokens.
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Pamusoro-p (Nucleus) Sampling
A decoding strategy iyo samples kubva padiki tokeni set iyo mikana inosvika p.
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Kutamisa Kudzidza
Kushandisa ruzivo rwakadzidzwa mune rimwe basa kana dura kuvandudza rimwe basa.
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Transformer
A neural architecture inoshandisa kutarisisa kuenzanisi hukama kune dzakatevedzana dzakafanana.
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Kurasikirwa Kwekudzidzira
Iyo modhi yekukanganisa kukosha yakaverengerwa panguva yekudzidziswa uye yakagadziridzwa pasi nekufamba kwenguva.
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Kudzidza Kusina Kutariswa
Kudzidza maitiro kubva kune data risina kunyorwa pasina zvinobuda pachena.
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Validation Set
Dhatabheti rinoshandiswa panguva yekusimudzira kurongedza modhi uye kudzivirira kuwandisa.
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Vector Database
Dhatabhesi yakagadziridzwa kuchengetedza uye kubvunza yakakwirira-dimensional embedding vectors.
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Vision-Language Model (VLM)
Iyo multimodal modhi iyo yakabatana inogadzirisa zvinoonekwa uye zvinyorwa zvemashoko.
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Kutarisira Kwakashata
Kushandisa mavara ane ruzha, heuristic, kana chidimbu kudzidzisa modhi apo mavara akachena ari mashoma.
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Kurema
Kukosha kwenhamba yakadzidzwa iyo inoyera masaini anopfuura neneural network.
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Shoko Embedding
Dense vector inomiririra yemazwi anotora hukama hwesemantic.
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XAI (Inotsanangurwa AI)
Tekinoroji uye maitiro ekuita kuti fungidziro yeAI iwedzere kujeka uye inonzwisisika.
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Zero-Shot Kudzidza
Kugadzirisa mabasa pasina mienzaniso yakanangana nebasa nekuvimba neruzivo rwekare.
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Agentik Workflow
Iyo yakawanda-nhanho maitiro apo iyo AI system inoronga, inoita, inotarisa mhinduro, uye inodzokorora yakananga kuchinangwa.
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AI Act
Iyo European Union's njodzi-yakavakirwa kudzora masisitimu eAI masisitimu uye vanopa.
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Alignment Tax
Iyo yekuwedzera mutengo munguva, compute, kana chigadzirwa velocity inodiwa kuita kuti masisitimu ave akachengeteka uye anodzoreka.
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Benchmark Leakage
Kana mienzaniso yekuenzanisa kana misiyano yepedyo iripo mudhata rekudzidzisa, inflating yakashumwa mashandiro.
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Causal Inference
Nzira dzekufungidzira chikonzero-uye-mhedzisiro hukama pane hukama huri nyore.
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Nguva Yekutenda
Huwandu hwehuwandu hunogona kunge huine hukoshi hwechokwadi hwemetric yemodhi yakayerwa.
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Constitutional AI
Nzira yekudzidzira uye maitiro ekugadzirisa maitiro apo zvinyorwa zvemuenzaniso zvinotungamirirwa nenheyo yakagadziriswa yemitemo yakanyorwa.
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Data Lineage
Chinyorwa chekuti data rakabva kupi, kuti rakashandurwa sei, uye kuti rinoshandiswa kupi.
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Data Provenance
Iwo akanyorwa mabviro, muridzi, uye nhoroondo yedataset kana modhi artifact.
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Differential Privacy
Nzira yekuvanzika iyo inowedzera ruzha rwenhamba kuitira kuti marekodhi ega ega asakwanise kutariswa kubva kune zvinobuda.
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Distilled Model
Mutevedzeri mudiki wakadzidziswa kutevedzera maitiro emuenzanisi mukuru asi uchishandisa komputa shoma pakufungidzira.
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Embedding Model
Muenzaniso wakagadzirirwa kushandura data kuita mavheji anoshandiswa kutsvaga semantic, kubatanidza, uye kudzoreredza.
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Eval Harness
Chimiro chekuongorora chinodzokororwa chinomhanyisa zvirevo, dhatasethi, uye zvibodzwa mumhando dzese dzemhando.
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Feature Store
Iyo inogadziriswa sisitimu yekuchengetedza uye kushumira yakasimbiswa ML maficha nguva dzose yekudzidziswa uye inference.
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Groundedness
Iyo dhigirii iyo mhinduro yeAI inotsigirwa nedata data kana humbowo hwakadzoserwa.
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Guarded Decoding
Nzira yekugadzira iyo inomanikidzira matokeni ekubuda kune zvivakwa zvinoshanda kana sarudzo-dzinotevedzera.
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Human Preference Model
Muenzaniso wakadzidziswa pazvinzvimbo zvevanhu kufanotaura kuti ndedzipi mhinduro dzinogona kuda vashandisi.
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Inference Endpoint
A deployed API interface inogamuchira zvikumbiro zvemuenzaniso uye inodzorera fungidziro mukugadzira.
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Knowledge Base
Muunganidzwa wakasarudzika wemagwaro kana marekodhi anoshandiswa kutorazve, kutsigira otomatiki, kana mhinduro dzepasi.
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Latent Space
Nzvimbo yekumiririra yakamanikidzwa iyo pfungwa dzakafanana dzakamisikidzwa padyo neimwe semavheji.
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Model Registry
Iyo yepakati katalogi yekushandura, kubvumidza, uye yekutevera modhi munzvimbo dzese.
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Pa-Chishandiso AI
AI inference inoitwa munharaunda pane yevashandisi Hardware kwete mune iri kure gore sevhisi.
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Output Parser
Logic inosimbisa uye inoshandura modhi inobuda kuita yakasimba typed, muchina-unoshandiswa zvimiro.
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Prompt Template
A reusable prompt pattern ine zvinosiyana, mitemo yekufomatidza, uye mirairo yakanangana nebasa.
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Retrieval Precision
Huwandu hwezvinhu zvakadzoserwa zvinoenderana nemubvunzo wemushandisi.
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Safety Case
Nharo yakarongeka, inotsigirwa nehumbowo, kuti AI system yakachengeteka kune yakatsanangurwa mamiriro ekushandiswa.
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Shadow Deployment
Kumhanyisa modhi inofambirana neyekugadzira traffic pasina kukanganisa sarudzo dzakatarisana nemushandisi.
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Structured Output
Modhi inobuda inomanikidzwa kune yakatsanangurwa schema senge JSON, maturusi nharo, kana mataipa minda.
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Test-Nguva Compute
Yekuwedzera inference computation inoshandiswa panguva yekugadzira mhinduro kuvandudza kunaka kana kufunga.
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Vimba Calibration
Kugadzirisa kuvimba kwemushandisi mune zvinobuda muAI nekuvimbika chaiko kweiyo system mune yega basa.
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Kubhadharira Kunoenderana Nekushandiswa
Mitengo apo mitengo inoyera neAPI mafoni, tokens, inference nguva, kana inopedzwa compute.
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Zero Data Retention
Chirevo uko chikumbiro / mhinduro miripo haina kuchengetwa mushure mekugadzirisa kupfuura kwenguva pfupi yekushanda windows.
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Speculative Decoding
Nzira yekumisikidza yekumisikidza apo modhi diki yekudhirowa inopa tokens iyo hombe modhi inosimbisa mukuenderana.
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KV Cache
Yakachengetwa kiyi uye kukosha tensor kubva kune apfuura tokens izvo zvinoita kuti vashanduri vagadzire ma tokens matsva pasina kudzokorodza kutarisisa kwekare.
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MCP (Model Context Protocol)
Iyo yakavhurika protocol inoita kuti AI zvikumbiro zvibatane kune ekunze maturusi, masosi edata, uye vanopa mamiriro nenzira yakajairwa.
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Agent Loop
Kutenderera kutenderera uko mumiriri weAI anoona, anoronga, anoita, uye anoratidza kusvika apedza chinangwa kana kurova mamiriro ekumira.
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ReAct
Maitiro ekukurudzira anosanganisa nhanho dzekufunga ne-turusi-kushandisa zviito kugadzirisa mabasa nekuvimbika.
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Muti Wemifungo
Nzira yekufunga iyo modhi inoongorora akawanda mapazi ekugadzirisa nzira uye inosarudza iwo anovimbisa zvakanyanya.
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DPO (Direct Preference Optimization)
Nzira yekudzidzisa iyo inonatsa-tuni modhi yakananga pamapeya ekuda pasina kuda mubairo wakasiyana.
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QLoRA
Iyo yakanaka-tuning tekinoroji inosanganisa 4-bit huremu quantization neLoRA adapters kuderedza ndangariro zvinodiwa.
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Flash Attention
Iyo yakagadziridzwa yekutarisisa algorithm iyo inoderedza ndangariro kushandiswa uye inomhanyisa kudzidzisa kwekushandura uye kufungidzira.
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Multi-Musoro Attention
Transformer mashandiro ayo anomhanyisa akati wandei maitiro anoenderana kubata akasiyana marudzi ehukama.
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Positional Encoding
Ruzivo rwakawedzerwa kune ma tokeni ekumisikidza kuitira kuti vashanduri vakwanise kusiyanisa kutevedzana kurongeka.
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tambo (Rotary Positional Embeddings)
Iyo inotenderera encoding nzira inotenderedza muvhunzo uye makiyi mavheta kuti ekodere ehukama tokeni nzvimbo.
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ALBi
Nzira yekurerekera kwenzvimbo inoranga zvibodzwa zvichibva pachinhambwe chetokeni, ichibatsira mamodheru kuwedzera kune kureba.
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Sliding Window Attention
Maitiro ekutarisisa apo chiratidzo chega chega chinotarisa chete kune yakasarudzika-saizi hwindo rematokeni ari pedyo kuderedza komputa.
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BPE (Byte Pair Encoding)
A subword tokenization algorithm iyo inobatanidza anowanzo hunhu pairs kuita reusable tokens.
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SentencePiece
Mutauro-agnostic tokenizer inodzidza subword mauniti zvakananga kubva kune yakaomeswa zvinyorwa pasina pre-kupatsanurwa pachena.
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ANN (Muvakidzani Anenge Ari Pedyo)
Algorithms inowana mavheji padyo nemubvunzo pasina kuenzanisa kwakazara, kutengesa chaiko kwekumhanya.
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HNSW
Girafu-yakavakirwa indekisi chimiro chekukurumidza fungidziro yepedyo-muvakidzani kutsvaga pamusoro pepamusoro-dimensional vectors.
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Reranker
Modhi inoronga patsva seti yekutanga yezviwanikwa zvakadzoserwa kuisa zvinhu zvakakosha kumusoro.
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Hybrid Search
Nzira yekudzorera iyo inosanganisa keyword (lexical) kutsvaga nevector (semantic) kutsvaga zviri nani kuyeuka uye kunyatso.
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Cross-Encoder
Modhi inokoka mubvunzo uye inonyora pamwe chete mukupasa imwe chete kune yakakwirira-yechokwadi relevance mitongo.
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Bi-Encoder
Modhi inokodha mibvunzo uye zvinyorwa mumavheji akasiyana kuti akwanise kuenzaniswa nekukurumidza pachiyero.
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LLM-se-Mutongi
Kushandisa modhi yemutauro kuwana kana kuenzanisa zvinobuda kubva kune mamwe mamodheru panguva yekuongorora.
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Pass@k
Kodhi-evaluation metric inoyera mukana wekuti imwe chete yek yakagadzirwa samples inopasa bvunzo.
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MMLU
Chiyereso chekuenzanisa mhando dzemitauro pazvidzidzo makumi mashanu nenomwe zvedzidzo nehunyanzvi uchishandisa mibvunzo yesarudzo yakawanda.
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HumanEval
Mucherechedzo wePython programming matambudziko anoshandiswa kuyera kodhi-chizvarwa kurongeka kuburikidza neyuniti bvunzo.
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GSM8K
Mucherechedzo wegiredhi-yechikoro masvomhu emazwi matambudziko anoshandiswa kuongorora nhanho-ne-nhanho kufunga mumienzaniso yemitauro.
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Chokwadi
Zvakaita sei zvinorehwa nemodeli zvinoenderana neruzivo rwechokwadi rwepasirese.
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Citations
Mareferensi kunobva ndima kana zvinyorwa zvinosanganisirwa mumhinduro yemuenzaniso kutsigira zvazvinoreva.
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Watermarking
Kupinza chiratidzo chinooneka muAI-yakagadzirwa zvinyorwa kana midhiya kuti igozoonekwa seyakagadzirwa muchina.
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Mid-kudzidziswa
Chikamu chepakati chekudzidzisa pakati pekutanga uye mushure mekudzidziswa, chinowanzo shandiswa pakugona kana kugadziridza domain.
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Mushure mekudzidziswa
Matanho ekudzidzisa anoshandiswa mushure mekutanga kudzidziswa, senge kuraira tuning, optimization yekuda, uye kuchengetedza tuning.
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Kuzvitamba
Seti yekudzidzisa apo modhi inovandudzwa nekugadzira data kuburikidza nekudyidzana kana makwikwi nemakopi ayo.
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RAG-Fusion
Nzira yekutora iyo inogadzira akawanda emibvunzo yakasiyana, inotora mhinduro kune yega yega, uye inosanganisa masanjirwo.
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Multi-Query Retrieval
Nzira yekudzorera iyo inonyora zvakare mubvunzo wemushandisi mumisiyano yakati wandei kuti uvandudze kurangarira.
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Kudzorerwa Kwevabereki-Gwaro
Maitiro ekutsvagisa anotsvaga madiki machunks asi anodzosera magwaro evabereki vavo makuru kune akapfuma mamiriro.
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Beam Search
A decoding algorithm iyo inochengeta epamusoro akati wandei akateedzana padanho rega rega kuti uwane yepamusoro-inogoneka inobuda.
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Kudzokorora Chirango
Decoding setting inodzikisira mukana wematokens iyo modhi yakatogadzira kuderedza zvishwe.
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Frequency Penalty
Decoding setting inodzikisira mukana wematokens zvichienderana nekuti akaonekwa kakawanda sei kusvika zvino.
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Hupo Chirango
Iyo decoding yekumisikidza iyo inoderedza mukana wezviratidzo zvakaonekwa zvachose, zvichikurudzira misoro mitsva.
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