Agent Loop
Kutenderera kutenderera uko mumiriri weAI anoona, anoronga, anoita, uye anoratidza kusvika apedza chinangwa kana kurova mamiriro ekumira.
Free AI glossary
Iyo AIGlossary
Plain-language definitions of the AI terms you keep hearing — for students, professionals, and anyone curious about how AI works.
213mazwiA–ZTsvaga + alphabet sefa100%Tsanangudzo dzemutauro wakajeka
A17 mazwi
Agentik Workflow
Iyo yakawanda-nhanho maitiro apo iyo AI system inoronga, inoita, inotarisa mhinduro, uye inodzokorora yakananga kuchinangwa.
AGI (Artificial General Intelligence)
Iyo yekufungidzira AI sisitimu iyo inogona kuita akawanda enjere mabasa padanho remunhu munzvimbo dzakawanda.
AI Alignment
Basa rekugadzira masisitimu eAI aite zvinoenderana nezvinangwa zvevanhu, tsika, uye zvipingaidzo zvekuchengetedza.
AI Governance
Mitemo, zviyero, uye nzira dzekutarisa dzinotungamira magadzirirwo nekushandiswa kweAI munharaunda.
AI inogadzira
AI masisitimu anoburitsa zvinyorwa zvitsva senge zvinyorwa, mifananidzo, odhiyo, vhidhiyo, kana kodhi.
AI Kuchengetedza
Munda wakatarisana nekudzikisira maitiro anokuvadza, kutadza, uye njodzi yekushandisa zvisizvo muAI masisitimu.
AI Mumiririri
Iyo software system inogona kuona, kufunga, uye kutora matanho kuti uwane chinangwa, kazhinji uchishandisa maturusi uye ndangariro.
ALBi
Nzira yekurerekera kwenzvimbo inoranga zvibodzwa zvichibva pachinhambwe chetokeni, ichibatsira mamodheru kuwedzera kune kureba.
Algorithm
Mitemo yakatsanangurwa kana matanho anoteverwa nekombuta kugadzirisa dambudziko kana kupedza basa.
Algorithmic Bias
Kusarurama kwakarongeka mumienzaniso yezvinobuda zvichikonzerwa nedata rakatsveyamiswa, fungidziro, kana sarudzo dzemuenzaniso.
Algorithmic Transparency
Zvakajeka sei iyo AI system's logic, data masosi, uye zvisingakwanisi zvakanyorwa uye zvinonzwisisika.
ANN (Muvakidzani Anenge Ari Pedyo)
Algorithms inowana mavheji padyo nemubvunzo pasina kuenzanisa kwakazara, kutengesa chaiko kwekumhanya.
Annotation
Mazita akawedzerwa nevanhu kana metadata inoshandiswa kudzidzisa kana kuongorora mhando dzekudzidza dzemuchina.
API (Application Programming Interface)
Nzira yakarongeka yeimwe software system yekutumira zvikumbiro uye kugamuchira mhinduro kubva kune imwe system.
Artificial Intelligence (AI)
Nzvimbo yakafara yekuvaka masisitimu anoita mabasa anoda kucherechedzwa kwepateni, kufunga, mutauro, kana kuita sarudzo.
Autonomous System
Iyo sisitimu inogona kuita sarudzo uye kuita neinogumira kana isina yakananga kutonga kwevanhu munguva chaiyo.
B10 mazwi
Backpropagation
Iyo yakakosha kudzidziswa algorithm inogadziridza maremu emhando nekuparadzira zvikanganiso zvekufungidzira kumashure kuburikidza netiweki.
Basa Kufona
Muenzaniso wekugona kugadzira mafoni akarongeka anotanga maturusi ekunze kana maAPI.
Baseline Model
A simple reference modhi inoshandiswa kuenzanisa kana dzimwe nzira dzakaoma kunzwisisa dzinonyatsoita mhedzisiro.
Beam Search
A decoding algorithm iyo inochengeta epamusoro akati wandei akateedzana padanho rega rega kuti uwane yepamusoro-inogoneka inobuda.
Benchmark
Muedzo wakamisikidzwa kana dhatabheti rinoshandiswa kuyera nekuenzanisa kuita kwemuenzaniso.
Benchmark Leakage
Kana mienzaniso yekuenzanisa kana misiyano yepedyo iripo mudhata rekudzidzisa, inflating yakashumwa mashandiro.
Bi-Encoder
Modhi inokodha mibvunzo uye zvinyorwa mumavheji akasiyana kuti akwanise kuenzaniswa nekukurumidza pachiyero.
Big Data
Yakakura kwazvo uye yakaoma dataset inoda scalable kuchengetedza uye kugadzirisa maitiro.
Black-Bhokisi Model
Muenzaniso une kufunga kwemukati kwakaoma kududzira zvakananga nevanhu.
BPE (Byte Pair Encoding)
A subword tokenization algorithm iyo inobatanidza anowanzo hunhu pairs kuita reusable tokens.
C16 mazwi
Calibration
Zvibodzwa zvekuvimbo zvemodhi zvinonyatsoenderana nei zvingangoitika.
Causal Inference
Nzira dzekufungidzira chikonzero-uye-mhedzisiro hukama pane hukama huri nyore.
Chain-of-Pfungwa
Chimiro chekufunga uko iyo AI modhi inobvisa dambudziko kuita nhanho dzepakati.
Chikamu
Musiyano wekupinza unoshandiswa nemodhi kuita fungidziro.
Chinangwa Classification
Kufanotaura chinangwa chemushandisi kubva pane zvinyorwa kuti zvifambe nemazvo.
Chiratidzo
Chikamu chemavara chinogadziriswa nemhando dzemitauro, senge chidimbu chezwi kana chiratidzo.
Chokwadi
Zvakaita sei zvinorehwa nemodeli zvinoenderana neruzivo rwechokwadi rwepasirese.
Citations
Mareferensi kunobva ndima kana zvinyorwa zvinosanganisirwa mumhinduro yemuenzaniso kutsigira zvazvinoreva.
Classifier
Muenzaniso wakagadzirirwa zvakanangana nemapoka emabasa.
CLIP
Iyo multimodal modhi yekuvaka iyo inodzidza yakagovaniswa inomiririra pakati pezvinyorwa nemifananidzo.
Compute
Zvishandiso zvekugadzirisa zvinodiwa kudzidzisa nekumhanyisa modhi, kazhinji kuyerwa muFLOPS kana GPU maawa.
Computer Vision
Bazi reAI rinotora zvinoreva kubva kumifananidzo nemavhidhiyo.
Constitutional AI
Nzira yekudzidzira uye maitiro ekugadzirisa maitiro apo zvinyorwa zvemuenzaniso zvinotungamirirwa nenheyo yakagadziriswa yemitemo yakanyorwa.
Context Window
Iyo yakawanda yehuwandu hwekupinza tokeni iyo modhi yemutauro inogona kugadzirisa kamwechete.
Convolutional Neural Network (CNN)
A neural architecture yakagadziridzwa kugadzirisa grid-senge data senge mifananidzo.
Cross-Encoder
Modhi inokoka mubvunzo uye inonyora pamwe chete mukupasa imwe chete kune yakakwirira-yechokwadi relevance mitongo.
D11 mazwi
Data Drift
Shanduko mune chaiyo-yenyika yekupinza data nekufamba kwenguva iyo inogona kudzikisira modhi maitiro.
Data Kuwedzera
Matekinoroji anogadzira akagadziridzwa ekudzidzisa mienzaniso yekuvandudza modhi generalization.
Data Labeling
Maitiro ekugovera ma tag kana zvinongedzo zvinobuda kune yakabikwa data yekudzidza inotariswa.
Data Lineage
Chinyorwa chekuti data rakabva kupi, kuti rakashandurwa sei, uye kuti rinoshandiswa kupi.
Data Provenance
Iwo akanyorwa mabviro, muridzi, uye nhoroondo yedataset kana modhi artifact.
Dataset
Muunganidzwa wemienzaniso yakarongeka kana isina kurongeka inoshandiswa pakudzidzisa, kusimbisa, kana kuyedza.
Diffusion Model
Chigadzirwa chekugadzira chinodzidza kudzoreredza ruzha kugadzira mifananidzo, odhiyo, kana zvimwe zvirimo.
Distillation
Kudzvanya ruzivo kubva kune hombe mudzidzisi modhi kuita mudiki modhi yemudzidzi.
Distilled Model
Mutevedzeri mudiki wakadzidziswa kutevedzera maitiro emuenzanisi mukuru asi uchishandisa komputa shoma pakufungidzira.
Domain Adaptation
Nzira dzekufambisa modhi yakadzidziswa mune imwe dura kuita zvirinani mune imwe dura.
DPO (Direct Preference Optimization)
Nzira yekudzidzisa iyo inonatsa-tuni modhi yakananga pamapeya ekuda pasina kuda mubairo wakasiyana.
E5 mazwi
Embedding
Nhamba yeVector inomiririra inotora zvinoreva semantic yezvinyorwa, mifananidzo, kana imwe data.
Embedding Model
Muenzaniso wakagadzirirwa kushandura data kuita mavheji anoshandiswa kutsvaga semantic, kubatanidza, uye kudzoreredza.
Encoder
Icho chikamu chemuenzaniso chinoshandura chinopinza kuita chiratidziro chakavanzika.
Ensemble
Kubatanidza fungidziro kubva kune akawanda mamodheru kuvandudza kusimba kana huchokwadi.
Eval Harness
Chimiro chekuongorora chinodzokororwa chinomhanyisa zvirevo, dhatasethi, uye zvibodzwa mumhando dzese dzemhando.
F6 mazwi
Feature Engineering
Kugadzira kana kushandura mabhii ekushandisa kuita kuti kudzidza kuve nyore uye kunoshanda.
Feature Extraction
Kushandura data raw kuita zvinhu zvinodzidzisa izvo modhi inogona kushandisa.
Feature Store
Iyo inogadziriswa sisitimu yekuchengetedza uye kushumira yakasimbiswa ML maficha nguva dzose yekudzidziswa uye inference.
Flash Attention
Iyo yakagadziridzwa yekutarisisa algorithm iyo inoderedza ndangariro kushandiswa uye inomhanyisa kudzidzisa kwekushandura uye kufungidzira.
Foundation Model
Iyo yakakura isati yadzidziswa modhi iyo inogona kuchinjika kune akawanda ezasi mabasa.
Frequency Penalty
Decoding setting inodzikisira mukana wematokens zvichienderana nekuti akaonekwa kakawanda sei kusvika zvino.
G9 mazwi
GAN (Generative Adversarial Network)
Chigadzirwa chekugadzira apo jenareta nerusarura vanodzidzisana.
Generalization
Iyo modhi inoita zvakanaka sei pane nyowani, isingaonekwe data kunze kweseti yekudzidziswa.
Gradient
Vector inoratidza kuti yakawanda sei parameter imwe neimwe inofanira kuchinja kuderedza kurasikirwa.
Gradient Descent
Iyo optimization nzira inogadziridza parameter munzira inoderedza kukanganisa.
Ground Chokwadi
Mareferenzi akavimbika anoshandiswa kudzidzisa kana kuongorora mamodhi ezvinobuda.
Groundedness
Iyo dhigirii iyo mhinduro yeAI inotsigirwa nedata data kana humbowo hwakadzoserwa.
GSM8K
Mucherechedzo wegiredhi-yechikoro masvomhu emazwi matambudziko anoshandiswa kuongorora nhanho-ne-nhanho kufunga mumienzaniso yemitauro.
Guarded Decoding
Nzira yekugadzira iyo inomanikidzira matokeni ekubuda kune zvivakwa zvinoshanda kana sarudzo-dzinotevedzera.
Guardrails
Mitemo, macheki, uye zvidzoro zvinodzikamisa maitiro asina kuchengetedzeka kana asingadiwi.
H6 mazwi
HNSW
Girafu-yakavakirwa indekisi chimiro chekukurumidza fungidziro yepedyo-muvakidzani kutsvaga pamusoro pepamusoro-dimensional vectors.
Human Preference Model
Muenzaniso wakadzidziswa pazvinzvimbo zvevanhu kufanotaura kuti ndedzipi mhinduro dzinogona kuda vashandisi.
HumanEval
Mucherechedzo wePython programming matambudziko anoshandiswa kuyera kodhi-chizvarwa kurongeka kuburikidza neyuniti bvunzo.
Hupo Chirango
Iyo decoding yekumisikidza iyo inoderedza mukana wezviratidzo zvakaonekwa zvachose, zvichikurudzira misoro mitsva.
Hybrid Search
Nzira yekudzorera iyo inosanganisa keyword (lexical) kutsvaga nevector (semantic) kutsvaga zviri nani kuyeuka uye kunyatso.
Hyperparameter
Iko kukosha kwekugadzirisa kusati kwatanga kudzidziswa, seyero yekudzidza, saizi yebatch, kana kudzika.
I6 mazwi
In-Context Kudzidza
Kugona kwemuenzaniso kutevedzera mapatani kubva kumienzaniso yakapihwa zvakananga mukukasira.
Inference
Chikamu chenguva yekumhanya apo modhi yakadzidziswa inogadzira fungidziro kana zvinobuda.
Inference Endpoint
A deployed API interface inogamuchira zvikumbiro zvemuenzaniso uye inodzorera fungidziro mukugadzira.
Inference-Nguva Compute
Huwandu hwesimba rekugadzirisa rinopedzwa paunenge uchigadzira mhinduro yega yega.
Inonzi Entity Recognition (NER)
Basa reNLP rinoratidza masangano akaita sevanhu, nzvimbo, mazuva, kana masangano.
Instruction Tuning
Kunyatsogadzirisa modhi pamirairo-mhinduro mbiri kuti uvandudze basa rinotevera.
J1 term
Jailbreak
Nzira yekukurumidza ine chinangwa chekunzvenga zvipingamupinyi zvekuchengetedza zvemodhi.
K37 mazwi
Knowledge Cutoff
Iyo yazvino poindi yenguva inoratidzwa mune yemuenzaniso data yekudzidziswa.
Kubhadharira Kunoenderana Nekushandiswa
Mitengo apo mitengo inoyera neAPI mafoni, tokens, inference nguva, kana inopedzwa compute.
Kuchekerera
Kubvisa zviremu zvisingakoshi zvemuenzaniso kana neurons kuderedza saizi uye compute.
Kudzidza Kunotariswa
Kudzidzisa modhi ine mienzaniso yakanyorwa inoisa mepu kune zvinobuda zvinozivikanwa.
Kudzidza Kusina Kutariswa
Kudzidza maitiro kubva kune data risina kunyorwa pasina zvinobuda pachena.
Kudzidza Kwakadzika
Chikamu chekudzidza kwemichina chinoshandisa akawanda-layer neural network yekumiririra kudzidza.
Kudzidza Muchina (ML)
Nzira dzinobvumira masisitimu kudzidza mapatani kubva kune data uye kugadzirisa nekufamba kwenguva.
Kudzidza Rate
Iyo hyperparameter yekudzidzira inodzora kuti yakawanda sei paramita inoshandura nhanho yega yega yekuvandudza.
Kudzokorora Chirango
Decoding setting inodzikisira mukana wematokens iyo modhi yakatogadzira kuderedza zvishwe.
Kudzoreredza
Kutsvaga magwaro akakodzera kana marekodhi kubva kune ruzivo ruzivo rwemubvunzo.
Kudzosa Gwaro Revabereki
Maitiro ekutsvagisa anotsvaga madiki machunks asi anodzosera magwaro evabereki vavo makuru kune akapfuma mamiriro.
Kuenderera mberi nekudzidza
Nzira dzekudzidzisa dzinoita kuti modhi irambe ichidzidza kubva kune itsva data pasina kukanganwa ruzivo rwekare.
Kufungidzira
Kana modhi inogadzira ruzivo rwakatsetseka asi rwenhema kana rusingatsigirwe.
Kugadzirisa Mutauro Wechisikigo (NLP)
Bazi reAI rakanangana nekunzwisisa nekugadzira mutauro wevanhu.
Kugadziriswa kwakanaka
Kuenderera mberi nekudzidziswa padomeine-chaiyo data kugadzirisa iyo isati yadzidziswa modhi kune rimwe basa.
Kunonoka
Nguva iri pakati pekutumira chikumbiro uye kugamuchira zvakabuda zvemodhi.
Kuongorora Seti
Dhata rakachengetwa rinoshandiswa kuyera mhando yemhando mushure mekudzidziswa.
Kupatsanurwa
Basa iro modhi inogovera yekuisa kune imwe kana akawanda akatemerwa chikamu.
Kurasikirwa Basa
Chinangwa chemasvomhu chinotaridza kukanganisa kwekufungidzira panguva yekudzidziswa.
Kurasikirwa Kwekudzidzira
Iyo modhi yekukanganisa kukosha yakaverengerwa panguva yekudzidziswa uye yakagadziridzwa pasi nekufamba kwenguva.
Kurasikirwa kwemuchinjikwa-entropy
Chinhu chakafanana chinangwa chebasa rinoshandiswa kudzidzisa mhando dzemhando nekuranga zvingangoitika zvisirizvo.
Kurema
Kukosha kwenhamba yakadzidzwa iyo inoyera masaini anopfuura neneural network.
Kurongeka
Chikamu chezvakafanotaurwa zvakanaka izvo ndizvo chaizvo.
Kurumidza
Mirayiridzo yekupinza uye mamiriro akapihwa kune inogadzirwa modhi.
Kusimba
Kugona kwe modhi kuchengetedza kuita pasi peruzha, mashifiti, kana mapindiro eanopikisa.
Kusimbisa Kudzidza
Kudzidziswa nemasaini masaini apo mumiririri anodzidza zviito zvinowedzera kudzoka kwenguva refu.
Kusimbisa Kudzidza kubva kuHuman Feedback (RLHF)
Nzira yekudzidzisa inoshandisa zviratidzo zvinofarirwa nevanhu kugadzira maitiro emuenzaniso.
Kusiyanisa Kuvanzika
Nzira yekuvanzika iyo inowedzera ruzha rwenhamba kuitira kuti marekodhi ega ega asakwanise kutariswa kubva kune zvinobuda.
Kutamisa Kudzidza
Kushandisa ruzivo rwakadzidzwa mune rimwe basa kana dura kuvandudza rimwe basa.
Kutarisira Kwakashata
Kushandisa mavara ane ruzha, heuristic, kana chidimbu kudzidzisa modhi apo mavara akachena ari mashoma.
Kutarisisa Mechanism
Chikamu chemodhini chinotarisa zvine simba pazvikamu zvinoenderana zvechipo kana uchigadzira zvinobuda.
Kutsanangura
Mwero wekuti maitiro emuenzaniso anogona kududzirwa nekutsanangurirwa vanhu.
Kuwedzeredza
Kana modhi inobata nemusoro data yekudzidziswa uye ichiita zvisina kunaka pane zvisingaonekwe.
Kuyera Mutemo
Hukama hwehumwe hunoratidza kuti mashandiro anovandudzika sei nemhando yemhando, data, kana komputa.
Kuzvitamba
Seti yekudzidzisa apo modhi inovandudzwa nekugadzira data kuburikidza nekudyidzana kana makwikwi nemakopi ayo.
Kuzvitarisira Kudzidza
Kudzidza zvinomiririra kubva kudata risina kunyorwa nekufanotaura zvikamu zvakafukidzwa kana zvakashandurwa.
KV Cache
Yakachengetwa kiyi uye kukosha tensor kubva kune apfuura tokens izvo zvinoita kuti vashanduri vagadzire ma tokens matsva pasina kudzokorodza kutarisisa kwekare.
L4 mazwi
Label Smoothing
Iyo yenguva dzose nzira inopfavisa mavara akaomarara kuvandudza generalization.
Latent Space
Nzvimbo yekumiririra yakamanikidzwa iyo pfungwa dzakafanana dzakamisikidzwa padyo neimwe semavheji.
LLM-se-Mutongi
Kushandisa modhi yemutauro kuwana kana kuenzanisa zvinobuda kubva kune mamwe mamodheru panguva yekuongorora.
LoRA (Low-Rank Adaptation)
A parameter-inoshanda zvakanaka-tuning nzira inowedzera yakaderera-rank adapter matrices.
M21 mazwi
MCP (Model Context Protocol)
Iyo yakavhurika protocol inoita kuti AI zvikumbiro zvibatane kune ekunze maturusi, masosi edata, uye vanopa mamiriro nenzira yakajairwa.
Memory (Agent Memory)
Yakachengetwa mamiriro mumiriri weAI anoshandisa pamatanho kana masesheni kuvandudza kuenderera.
Mid-kudzidziswa
Chikamu chepakati chekudzidzisa pakati pekutanga uye mushure mekudzidziswa, chinowanzo shandiswa pakugona kana kugadziridza domain.
MMLU
Chiyereso chekuenzanisa mhando dzemitauro pazvidzidzo makumi mashanu nenomwe zvedzidzo nehunyanzvi uchishandisa mibvunzo yesarudzo yakawanda.
Model Card
Zvinyorwa zvinotsanangura kushandiswa kwemuenzaniso, metrics, zvisingakwanisi, uye njodzi.
Model Drift
Kudzikira kwekuita nekufamba kwenguva sezvo mamiriro epasirese chaiwo anosiyana kubva pakufungidzira kudzidziswa.
Model Quantization
Kuderedza kurongeka kwenhamba yezviyereso zvemuenzaniso kuderedza ndangariro uye mutengo wekufungidzira.
Model Registry
Iyo yepakati katalogi yekushandura, kubvumidza, uye yekutevera modhi munzvimbo dzese.
Muganhu weChisarudzo
Nzvimbo yenzvimbo munzvimbo inopatsanura makirasi akafanotaurwa nemugadziri.
Multi-Musoro Attention
Transformer mashandiro ayo anomhanyisa akati wandei maitiro anoenderana kubata akasiyana marudzi ehukama.
Multi-Query Kudzoreredza
Nzira yekudzorera iyo inonyora zvakare mubvunzo wemushandisi mumisiyano yakati wandei kuti uvandudze kurangarira.
Multimodal Model
Modhi inogona kugadzirisa kana kugadzira akawanda emhando dzedata senge zvinyorwa, mufananidzo, uye odhiyo.
Munhu-mu-the-Loop
Kufambiswa kwebasa uko vanhu vanoongorora, kutungamira, kana kupfuudza zvinobuda muAI.
Musanganiswa weNyanzvi (MoE)
Chivakwa chine hunyanzvi subnetworks uko chete nyanzvi dzakasarudzwa dzinomhanya pane yekuisa.
Mushure mekudzidziswa
Matanho ekudzidzisa anoshandiswa mushure mekutanga kudzidziswa, senge kuraira tuning, optimization yekuda, uye kuchengetedza tuning.
Mutauro Mukuru (LLM)
Mutauro wemodhi yakadzidziswa pane yakakura text corpora kugadzira nekuongorora zvinyorwa.
Mutemo weAI
Iyo European Union's njodzi-yakavakirwa kudzora masisitimu eAI masisitimu uye vanopa.
Mutero wekuenzanisa
Iyo yekuwedzera mutengo munguva, compute, kana chigadzirwa velocity inodiwa kuita kuti masisitimu ave akachengeteka uye anodzoreka.
Muteuro Mutauro Mudiki (SLM)
Mutauro wakakwana wemodhi yakakwenenzverwa kuti iite yakaderera latency, mutengo, kana kushandisa-pa-mudziyo.
Muti Wechisarudzo
Modhi inoita fungidziro kuburikidza nenhevedzano yekuti kana-ipapo chimiro chinopatsanurwa.
Muti Wemifungo
Nzira yekufunga iyo modhi inoongorora akawanda mapazi ekugadzirisa nzira uye inosarudza iwo anovimbisa zvakanyanya.
N6 mazwi
Neural Network
A layered computational modhi yakafuridzirwa nebiological neurons uye synapses.
Nguva Yekutenda
Huwandu hwehuwandu hunogona kunge huine hukoshi hwechokwadi hwemetric yemodhi yakayerwa.
Nhema dzakanaka
Kufembera kusiri iko uko modhi inoratidzira zvisirizvo nyaya isina kunaka seyakanaka.
Nhema Negative
Kufanotaura kwakashata uko modhi inopotsa nyaya yakanaka yechokwadi.
Normalization
Kushandura maitiro kune chikero chinowirirana kuti uvandudze optimization kugadzikana.
Nyaya yekuchengetedza
Nharo yakarongeka, inotsigirwa nehumbowo, kuti AI system yakachengeteka kune yakatsanangurwa mamiriro ekushandiswa.
O3 mazwi
OCR (Optical Character Recognition)
Tekinoroji inoshandura mavara mumifananidzo kana scanner kuita mavara anoverengwa nemuchina.
Open-Source Model
Modhi yakaburitswa ine huremu hweveruzhinji kana kodhi yekuongorora, kuchinjika, uye kushandiswazve.
Output Parser
Logic inosimbisa uye inoshandura modhi inobuda kuita yakasimba typed, muchina-unoshandiswa zvimiro.
P12 mazwi
Pa-Chishandiso AI
AI inference inoitwa munharaunda pane yevashandisi Hardware kwete mune iri kure gore sevhisi.
Pamusoro-p (Nucleus) Sampling
A decoding strategy iyo samples kubva padiki tokeni set iyo mikana inosvika p.
Parameter
Chiyero chakadzidzwa mukati memuenzaniso chinokanganisa zvabuda.
Parameter-Inoshanda Fine-Tuning (PEFT)
Nzira dzinogadzirisa mamodheru nekudzidzisa diki diki rekuwedzera paramita.
Pass@k
Kodhi-evaluation metric inoyera mukana wekuti imwe chete yek yakagadzirwa samples inopasa bvunzo.
Perplexity
Mutauro-modhiyo metric inoyera kuti modhi inoshamiswa sei nematokeni echokwadi anotevera.
Pipeline
Iyo yakarongedzerwa kufambiswa kwebasa rekutanga, nhanho dzemuenzaniso, uye postprocessing matanho.
Positional Encoding
Ruzivo rwakawedzerwa kune ma tokeni ekumisikidza kuitira kuti vashanduri vakwanise kusiyanisa kutevedzana kurongeka.
Pretraining
Yekutanga yakakura-yemwero modhi yekudzidziswa pane yakafara data isati yadzika yakadzika adapta.
Prompt Engineering
Kugadzira zvinokurudzira kuvandudza goho mhando, kuvimbika, uye controllability.
Prompt Jekiseni
Nzira yekurwisa apo mirairo ine hutsinye inoiswa mumamodhi ekuisa kana kudzoreredzwa zvirimo.
Prompt Template
A reusable prompt pattern ine zvinosiyana, mitemo yekufomatidza, uye mirairo yakanangana nebasa.
Q2 mazwi
QLoRA
Iyo yakanaka-tuning tekinoroji inosanganisa 4-bit huremu quantization neLoRA adapters kuderedza ndangariro zvinodiwa.
Quantization
Kushandura huremu hwemodhi kudzikisa mafomati chaiwo se8-bit kana 4-bit.
R13 mazwi
RAG (Kudzoreredza-Kuwedzera Chizvarwa)
Nzira iyo inotora ruzivo rwekunze uye ichidyisa muchizvarwa panguva yekufungidzira.
RAG-Fusion
Nzira yekutora iyo inogadzira akawanda emibvunzo yakasiyana, inotora mhinduro kune yega yega, uye inosanganisa masanjirwo.
React
Maitiro ekukurudzira anosanganisa nhanho dzekufunga ne-turusi-kushandisa zviito kugadzirisa mabasa nekuvimbika.
Recall
Chiyero chezvakanaka chaizvo izvo muenzaniso unonyatso ratidza.
Recommendation System
Iyo modhi pombi inofanotaura zvido zvevashandisi zvekuisa zvemukati kana zvigadzirwa.
Red Teaming
Kushushikana-kuyedza iyo AI sisitimu ine mhandu inosimudzira kuratidza kutadza uye njodzi.
Reranker
Modhi inoronga patsva seti yekutanga yezviwanikwa zvakadzoserwa kuisa zvinhu zvakakosha kumusoro.
Retrieval Precision
Huwandu hwezvinhu zvakadzoserwa zvinoenderana nemubvunzo wemushandisi.
Reward Model
Modhi inoburitsa zvibodzwa zvichibva pazviratidzo zvekuda, zvinowanzo shandiswa mumapaipi eRLHF.
Rusarura
Chimiro chinowirirana chekukanganisa kana kusaruramisira mune data kana maitiro emuenzaniso.
Ruzivo Distillation
Kudzidzira modhi diki yekutevedzera zvinobuda zvemhando yakakura.
Ruzivo Girafu
Chimiro chegirafu chemasangano uye hukama hunoshandiswa kufunga kana kudzoreredza.
Ruzivo rweRuzivo
Muunganidzwa wakasarudzika wemagwaro kana marekodhi anoshandiswa kutorazve, kutsigira otomatiki, kana mhinduro dzepasi.
S11 mazwi
Sefa yekuchengetedza
A moderation layer inovharira kana kunyora zvekare mamodhi asina kuchengetedzeka kana zvinobuda.
Semantic Search
Tsvaga inofambirana nerevo kwete chaiyo keyword overlap, kazhinji uchishandisa embeddings.
SentencePiece
Mutauro-agnostic tokenizer inodzidza subword mauniti zvakananga kubva kune yakaomeswa zvinyorwa pasina pre-kupatsanurwa pachena.
Sentiment Analysis
Basa reNLP rinorongedza toni yemanzwiro kana maonero mune zvinyorwa.
Shadow Deployment
Kumhanyisa modhi inofambirana neyekugadzira traffic pasina kukanganisa sarudzo dzakatarisana nemushandisi.
Shoko Embedding
Dense vector inomiririra yemazwi anotora hukama hwesemantic.
Sliding Window Attention
Maitiro ekutarisisa apo chiratidzo chega chega chinotarisa chete kune yakasarudzika-saizi hwindo rematokeni ari pedyo kuderedza komputa.
Sparse Model
Modhi umo ma paramita mazhinji ari zero kana kusashanda kudzikisa computation.
Speculative Decoding
Nzira yekumisikidza yekumisikidza apo modhi diki yekudhirowa inopa tokens iyo hombe modhi inosimbisa mukuenderana.
Synthetic Data
Data rakagadzirwa nemaoko rinoshandiswa kuwedzera, kutevedzera, kana kuchengetedza ruzivo rwekudzidzisa.
System Prompt
Murairo wepamusoro-soro unoisa maitiro, mutemo, uye maitiro ekupindura emuenzaniso.
T7 mazwi
tambo (Rotary Positional Embeddings)
Iyo inotenderera encoding nzira inotenderedza muvhunzo uye makiyi mavheta kuti ekodere ehukama tokeni nzvimbo.
Tembiricha
Sampling setting inodzora kusarongeka mune zvakabuda.
Test-Nguva Compute
Yekuwedzera inference computation inoshandiswa panguva yekugadzira mhinduro kuvandudza kunaka kana kufunga.
Tokenization
Maitirwo ekupatsanura mavara kuita tokens yemhando yekuisa.
Tool Kushandisa
Kugona kwemuenzaniso kudaidza maturusi ekunze akadai sekutsvaga, macalculator, kana maAPI.
Top-k Sampling
A decoding strategy iyo samples chete kubva k ingangoita anotevera tokens.
Transformer
A neural architecture inoshandisa kutarisisa kuenzanisi hukama kune dzakatevedzana dzakafanana.
V5 mazwi
Validation Set
Dhatabheti rinoshandiswa panguva yekusimudzira kurongedza modhi uye kudzivirira kuwandisa.
Vashoma-Kupfura Kudzidza
Kudzidza kana kugadzirisa maitiro kubva kunhamba shoma yemienzaniso.
Vector Database
Dhatabhesi yakagadziridzwa kuchengetedza uye kubvunza yakakwirira-dimensional embedding vectors.
Vimba Calibration
Kugadzirisa kuvimba kwemushandisi mune zvinobuda muAI nekuvimbika chaiko kweiyo system mune yega basa.
Vision-Language Model (VLM)
Iyo multimodal modhi iyo yakabatana inogadzirisa zvinoonekwa uye zvinyorwa zvemashoko.
W1 term
Watermarking
Kupinza chiratidzo chinooneka muAI-yakagadzirwa zvinyorwa kana midhiya kuti igozoonekwa seyakagadzirwa muchina.
X1 term
XAI (Inotsanangurwa AI)
Tekinoroji uye maitiro ekuita kuti fungidziro yeAI iwedzere kujeka uye inonzwisisika.
Y1 term
Yakarongeka Output
Modhi inobuda inomanikidzwa kune yakatsanangurwa schema senge JSON, maturusi nharo, kana mataipa minda.
Z2 mazwi
Zero Data Retention
Chirevo uko chikumbiro / mhinduro miripo haina kuchengetwa mushure mekugadzirisa kupfuura kwenguva pfupi yekushanda windows.
Zero-Shot Kudzidza
Kugadzirisa mabasa pasina mienzaniso yakanangana nebasa nekuvimba neruzivo rwekare.