Alignment (Alignment)
Alignment
Maitiro ekuona kuti zvinangwa zveAI system, zvabuda, uye maitiro zvinoenderana nezvinangwa zvevanhu uye tsika. Izvi zvakakosha kunyanya mumasisitimu epamusoro anogona kugadzira maitiro asina kunyatsotarisirwa.
Muenzaniso: Kuona kuti chatbot yekutsigira hutano hwepfungwa haimbofi yakakurudzira zviito zvinokuvadza zvisinei nekukurudzira.
Application Programming Interface (API) (Application Programming Interface (API))
Application Programming Interface (API)
Seti yemitemo yakatsanangurwa uye maprotocol anobvumira masisitimu esoftware akasiyana kutaurirana nekuchinjana data.
Muenzaniso: Kushandisa OpenAI API kutumira prompt uye kugamuchira mutauro wemodeli-wakagadzirwa mhinduro muwebhu app yako.
Artificial General Intelligence (AGI) (Artificial General Intelligence (AGI))
Artificial General Intelligence (AGI)
Chimiro cheAI chedzidziso chinogona kuita chero basa rehungwaru rinogona kuitwa nemunhu. Inoita kuti kudzidza kuve kwakazara muminda yese.
Muenzaniso: AGI system inogona kudzidza kugadzira mimhanzi, kuita oparesheni, uye kupasa bvunzo yefilosofi pasina chirongwa chakanyatsogadzirirwa basa.
Artificial Intelligence (AI) (Artificial Intelligence (AI))
Artificial Intelligence (AI)
Kutevedzera hungwaru hwevanhu mumichina yakarongwa kuti ifunge, ifunge, uye iite yakazvimirira.
Muenzaniso: AI inopa simba vabatsiri vemunhu vakaita saSiri uye masisitimu ekutyaira akazvimirira akaita seTesla Autopilot.
AI Ethics (AI Ethics)
AI Ethics
Chikamu chinobata nezvinorehwa netsika zvekuvandudzwa kweAI nekushandiswa, kusanganisira kururamisira, kuvanzika, kuzvidavirira, uye kusarura.
Muenzaniso: Kugadzira nhungamiro yekudzivirira maalgorithms ekuhaya kubva pakusarura zvichibva pabonde kana dzinza.
Augmented Intelligence (Augmented Intelligence)
Augmented Intelligence
Muenzaniso wekubatana apo AI inotsigira uye inosimudzira hungwaru hwevanhu pane kuitsiva.
Muenzaniso: AI-powered radiology tools dzinoratidza zvisina kujairika kune vanachiremba, vanoita kuongororwa kwekupedzisira.
Autonomous Agent (Autonomous Agent)
Autonomous Agent
AI system inokwanisa kuita sarudzo dzayo uye kuita zviito kuti iwane zvinangwa zvayo pasina kupindira kwevanhu.
Muenzaniso: Robhoti rekutyaira rinozvimirira richifamba mumigwagwa yeguta uye richinzvenga zvipingamupinyi rakazvimirira.
Backpropagation (Backpropagation)
Backpropagation
Nzira yekudzidzisa neural networks nekuvandudza weights mukudzoka kubva kune output kuenda kune input layers, ichideredza zvikanganiso zvekuprofita.
Muenzaniso: Inoshandiswa mukudzidzisa image classifiers kuderedza chiyero chekukanganisa mukuziva manhamba akanyorwa nemaoko.
Bias (Algorithmic Bias) (Bias (Algorithmic Bias))
Bias (Algorithmic Bias)
Kusarura kusingatarisirwi uye kwakarongeka muzvibereko zveAI nekuda kwedata rekudzidzisa risina kuenzana kana risina kumiririra.
Muenzaniso: Facial recognition system inonyatsoziva vanhu veruvara kakawanda nekuda kwekushomeka kwemumiririri mudata rekudzidzisa.
Big Data (Big Data)
Big Data
Datasets hombe kwazvo dzinoda maturusi akakosha ekuchengeta, kuongorora, uye kubvisa kukosha, kazhinji inoshandiswa kudzidzisa AI models.
Muenzaniso: Kushandisa mamiriyoni ekudyidzana kwevashandisi kudzidzisa injini dzekukurudzira dzemapuratifomu e-commerce.
Black Box Model (Black Box Model)
Black Box Model
Rudzi rweAI kana kudzidza kwemuchina modhi iyo logic yemukati isinganyatsonzwisisike nevanhu, zvichiita kuti zvive zvakaoma kunzwisisa kuti sarudzo dzinoitwa sei.
Muenzaniso: Deep neural network inoshandiswa kubvumidza zvikwereti asi isingapi tsanangudzo yakajeka yekuti sei mumwe munyoreri akagamuchirwa uye mumwe akarambwa.
Cognitive Computing (Cognitive Computing)
Cognitive Computing
AI masisitimu akagadzirirwa kutevedzera maitiro ekufunga kwevanhu, akadai sekufunga nekudzidza, vachishandisa nzira dzakadai seNLP uye pattern recognition.
Muenzaniso: Cognitive computing system inobatsira nyanzvi dzemutemo kuongorora mutemo wenyaya uye kufanotaura zvabuda.
Computer Vision (Computer Vision)
Computer Vision
Chikamu chehungwaru hwekugadzira chinobvumira makomputa kududzira nekugadzirisa data rekuona senge mifananidzo nemavhidhiyo.
Muenzaniso: Facial recognition systems dzinoziva vanhu mumifananidzo yekuchengetedza vachishandisa computer vision.
Corpus (Corpus)
Corpus
Muunganidzwa mukuru wemavara akanyorwa kana kutaura anoshandiswa kudzidzisa mitauro yemamodeli.
Muenzaniso: Common Crawl dataset iwebhu corpus yeruzhinji inoshandiswa kudzidzisa mitauro mikuru yemamodeli seGPT.
Data Drift (Data Drift)
Data Drift
Chiitiko apo data rekuisa rinochinja nekufamba kwenguva, zvichikonzera kuti modhi isashande zvakanaka.
Muenzaniso: Predictive maintenance model yemidziyo yeindasitiri inova isinganyatsojeka sezvo tekinoroji nyowani yesensor ichiunzwa.
Data Labelling (Data Labelling)
Data Labelling
Maitiro ekunyora data nemateki kana marebhu kuti riite rakakodzera kudzidza kwakatarisirwa.
Muenzaniso: Kunyora zviuru zvemafomu emamota seasingakuvadzi kana anokuvadza kudzidzisa modhi yekuona kenza.
Data Mining (Data Mining)
Data Mining
Maitiro ekuwana mapatani ane chinangwa, hukama, uye zvisina kujairika mumasets makuru edata.
Muenzaniso: Vatengesi vanoshandisa data mining kuona kuti vanhu vanotenga manapukeni kazhinji vanotenga doro zvakare.
Deep Learning (Deep Learning)
Deep Learning
Chikamu chekudzidza kwemuchina chinoshandisa multi-layered neural networks kutevedzera mapatani akaoma mudata.
Muenzaniso: Deep learning inoshandiswa mumitauro yemamodeli seGPT-4 uye image generation models seStable Diffusion.
Diffusion Models (Diffusion Models)
Diffusion Models
Kirasi yemamodeli ekugadzira anodzidza kugadzira data nekuwedzera kushandura ruzha rusingatarisirwi kuita zvabuda zvakarongwa.
Muenzaniso: Stable Diffusion inogadzira mifananidzo inotaridzika seyechokwadi kubva kumavara prompts vachishandisa nzira dzekupararira.
Embedding (Embedding)
Embedding
Kufananidzira kwenhamba kwedata, kazhinji kunoshandiswa kubata zvinorehwa nemazwi, mifananidzo, kana mitsara.
Muenzaniso: MuNLP, izwi rekuti 'bank' rinogona kuva nemaembeddings akafanana ne 'money' asi akasiyana ne 'riverbank' zvichienderana nemamiriro ezvinhu.
Epoch (Epoch)
Epoch
Kudzokorora kwakazara pamusoro peiyo yese yekudzidzisa dataset panguva yekudzidzisa maitiro emuchina wekudzidza modhi.
Muenzaniso: Kana dataset iine mienzaniso 1,000 uye modhi inoona yese kamwe chete panguva yekudzidzisa, iyo ndiyo epoch imwe.
Ethical AI (Ethical AI)
Ethical AI
Fungidziro yekugadzira nekushandisa inoona kuti tekinoroji dzeAI dzinoshanda pachena, zvakaenzana, uye zvinoenderana netsika dzenharaunda.
Muenzaniso: AI yekuhaya chishandiso chinosanganisira bias checks kudzivirira kusarura kune vashoma vanokwikwidza.
Expert System (Expert System)
Expert System
AI system inotevedzera kugona kuita sarudzo kwenyanzvi yemunhu munzvimbo yakatarwa vachishandisa mitemo uye logic.
Muenzaniso: Expert system inoshandiswa mukurima kukurudzira kurapwa kwezvirimwa zvichibva padata revhu uye nhoroondo yezvipembenene.
Explainable AI (XAI) (Explainable AI (XAI))
Explainable AI (XAI)
AI masisitimu akagadzirirwa kuita kuti maitiro avo emukati uye sarudzo dzive nyore kunzwisisa nevanhu, zvichisimudzira kuvimba nekuzvidavirira.
Muenzaniso: Medical diagnostic AI iyo isingangopi kurudziro chete asiwo inotsanangura kuti ndeapi zviratidzo zvakakonzera mhedziso iyoyo.
Few-shot Learning (Few-shot Learning)
Few-shot Learning
Nzira yekudzidza kwemuchina apo modhi inodzidziswa kana kugadziridzwa ichishandisa nhamba diki chete yezvinyorwa zvakanyorwa.
Muenzaniso: Kugadzirisa LLM kunyora maemail emutemo mushure mekuiratidza mienzaniso gumi chete.
Fine-tuning (Fine-tuning)
Fine-tuning
Maitiro ekutora modhi yakadzidziswa kare uye kuenderera mberi nekuidzidzisa pane nyowani, diki dataset kuti iite yakanyatsogadzirirwa basa rakananga.
Muenzaniso: Kugadzirisa general LLM seGPT pane magwaro emutemo emukati kugadzira mubatsiri wekunyora mutemo.
Foundation Model (Foundation Model)
Foundation Model
Modhi hombe yakadzidziswa pane data rakasiyana uye rakakura rinogona kugadziridzwa kumabasa mazhinji epasi.
Muenzaniso: GPT-4 uye PaLM 2 mamodeli ekutanga anokwanisa kupfupisa, Q&A, kushandura, nezvimwe.
Fuzzy Logic (Fuzzy Logic)
Fuzzy Logic
Chimiro chelogic chinobata nehuwandu hwehuwandu pane fixed true/false (binary) logic, inobatsira pakufunga pasi pekusava nechokwadi.
Muenzaniso: Inoshandiswa mumasisitimu ekudzora mamiriro ekunze kugadzirisa tembiricha zvichibva pane fuzzy inputs se 'kudziya zvishoma' kana 'kutonhora zvakanyanya'.
Generative Adversarial Network (GAN) (Generative Adversarial Network (GAN))
Generative Adversarial Network (GAN)
Generative model architecture apo network mbiri — generator uye discriminator — dzinokwikwidzana kuvandudza mhando yezvabuda.
Muenzaniso: GANs inoshandiswa kugadzira deepfake mavhidhiyo kana kugadzira mifananidzo yechokwadi yezvigadzirwa kubva kumasketch.
Generative AI (Generative AI)
Generative AI
Chikamu chehungwaru hwekugadzira chinogona kugadzira zvinyorwa zvitsva — senge mavara, mifananidzo, mimhanzi, kana vhidhiyo — kubva kudata rekudzidzisa.
Muenzaniso: ChatGPT inogadzira blog posts kana Midjourney inogadzira digital artwork kubva kumavara prompts.
Generative Pre-trained Transformer (GPT) (Generative Pre-trained Transformer (GPT))
Generative Pre-trained Transformer (GPT)
Kirasi yemamodeli makuru emitauro akagadzirwa neOpenAI anoshandisa transformer architecture uye akadzidziswa kare pane huwandu hwakakura hwedata remavara kuita mabasa akasiyana emitauro.
Muenzaniso: GPT-4 inokwanisa kunyora essays, kushandura mitauro, uye kupfupisa magwaro nekukurudzira kushoma.
Genetic Algorithm (Genetic Algorithm)
Genetic Algorithm
Nzira yekuvandudza yakafuridzirwa nekusarudzwa kwechisikigo apo mhinduro dzinoshanduka nekufamba kwenguva kuburikidza nekuchinja, kuyambuka, uye kusarudzwa.
Muenzaniso: Inoshandiswa kugadzira zvakanaka neural network architectures nekuenzanisa kurarama kwevakakodzera.
Hallucination (Hallucination)
Hallucination
Kugadzirwa kwezvinyorwa zvinonzwika zvine musoro asi zvisina chokwadi kana zvisina musoro nemodhi yeAI.
Muenzaniso: Mutauro wemodeli unogadzira citation isipo kana kupa nhoroondo isiri yechokwadi.
Heuristic (Heuristic)
Heuristic
Nzira inoshanda yekugadzirisa matambudziko isingavimbise mhinduro yakakwana asi yakakwana kune zvinangwa zvepakarepo.
Muenzaniso: Kushandisa rule of thumb kufungidzira nguva yekutumira mu logistics AI system.
Hyperparameter (Hyperparameter)
Hyperparameter
Kukosha kwekugadzirisa kwakaiswa pamberi pekudzidzisa muchina wekudzidza modhi, senge learning rate kana nhamba yelayers.
Muenzaniso: Kugadzirisa batch size kubva pa32 kusvika pa128 kuvandudza kumhanya kwekudzidzisa uye kushanda kwemodeli.
Inference (Inference)
Inference
Maitiro ekushandisa modhi yakadzidziswa yekudzidza kwemuchina kuita zvinofungidzirwa kana kugadzira zvabuda kubva kudata rekuisa idzva.
Muenzaniso: Kushandisa fine-tuned GPT modhi kunyora maemail kune timu yekutsigira vatengi.
Intent Detection (Intent Detection)
Intent Detection
Basa mukunzwisisa mutauro wechisikigo apo system inoziva chinangwa chemushandisi kana chinangwa mumeseji.
Muenzaniso: Muchatbot, kuziva 'Ndinoda kubhuka ndege' sechinangwa chekubhuka rwendo.
Internet of Things (IoT) (Internet of Things (IoT))
Internet of Things (IoT)
Network yemidziyo yakabatana yakaiswa masensor, software, uye dzimwe tekinoroji yekuunganidza nekuchinjana data.
Muenzaniso: Smart thermostats nemafriji anoshuma data rekushandisa uye anogadzirisa marongero vachishandisa AI analytics.
Interpretability (Interpretability)
Interpretability
Kukura kwemunhu anogona kunzwisisa maitiro emukati emuchina wekudzidza modhi uye maitiro ayo ekuita sarudzo.
Muenzaniso: Decision tree inonyatsonzwisisika kupfuura deep neural network nekuti sarudzo dzayo dzinogona kutevedzwa.
Jupyter Notebook (Jupyter Notebook)
Jupyter Notebook
Nzvimbo yekushandisa yakavhurika-sosi inobvumira vashandisi kunyora kodhi, kuona zvabuda, uye kunyora ongororo mune imwechete interface.
Muenzaniso: Data scientists vanoshandisa Jupyter Notebooks kugadzira muchina wekudzidza mamodeli uye kugovera zvabuda.
K-Nearest Neighbours (KNN) (K-Nearest Neighbours (KNN))
K-Nearest Neighbours (KNN)
Simple, non-parametric machine learning algorithm inoshandiswa pakurongedza uye regression. Inoita sarudzo zvichibva pane zvakanyanya kudyidzana zvekudzidzisa mienzaniso munzvimbo yeficha.
Muenzaniso: Kurongedza muchero mutsva seapuro kana pear, KNN inotarisa kuti ndeapi michero yakanyorwa iri pedyo muhukuru uye ruvara.
Knowledge Graph (Knowledge Graph)
Knowledge Graph
Chimiro chedata chinoshandisa nodes nemipendero kumiririra nekuchengeta tsanangudzo dzakabatana dzezvisikwa nehukama hwavo.
Muenzaniso: Google's knowledge panel inopihwa simba neknowledge graph inobatanidza zvisikwa senge vanhu, nzvimbo, uye zviitiko.
Language Learning Model Optimisation (LLMO) (Language Learning Model Optimisation (LLMO))
Language Learning Model Optimisation (LLMO)
Nzira dzinoshandiswa kuvandudza kushanda, kushanda zvakanaka, kana kugadzirisa kwemamodeli makuru emitauro kumabasa kana minda yakananga.
Muenzaniso: Kushandisa quantisation uye instruction tuning kuvandudza LLM yekushandisa kwebhizinesi.
Large Language Model (LLM) (Large Language Model (LLM))
Large Language Model (LLM)
Rudzi rwe deep learning model yakadzidziswa pane huwandu hwakakura hwedata remavara inokwanisa kugadzira, kunzwisisa, uye kufunga nemutauro wevanhu.
Muenzaniso: ChatGPT naClaude maLLM akadzidziswa kubatsira mukunyora, coding, uye kupindura mibvunzo.
Latent Space (Latent Space)
Latent Space
Kufananidzira kwepamusoro-soro kusina kujeka apo zvinyorwa zvakafanana zvinounganidzwa pedyo, zvinoshandiswa mumamodeli ekugadzira uye embeddings.
Muenzaniso: Mukugadzira mifananidzo, kugadzirisa latent space kunogona kuchinja maficha senge kupenya kana manzwiro.
Learning Rate (Learning Rate)
Learning Rate
Hyperparameter yakakosha mukudzidzisa inodzora kuti weights yemodeli inogadziriswa zvakadii maererano neloss gradient.
Muenzaniso: High learning rate inogona kutungamira kune overshooting minima, nepo rate yakaderera zvakanyanya ichinonotsa kufambira mberi kwekudzidzisa.
Machine Learning (ML) (Machine Learning (ML))
Machine Learning (ML)
Bazi reAI rinobvumira masisitimu kudzidza kubva kudata uye kuvandudza kushanda pasina kurongwa zvakananga.
Muenzaniso: Spam filters anoshandisa machine learning kurongedza maemail se spam kana kwete zvichibva pamiemzaniso yapfuura.
Model Drift (Model Drift)
Model Drift
Chiitiko apo kururama kwemodeli kunoderera nekufamba kwenguva nekuda kwekuchinja kwedata kana nharaunda.
Muenzaniso: Fraud detection model inova isinganyatsojeka sezvo nzira dze fraud dzichishanduka.
Model Training (Model Training)
Model Training
Maitiro ekupa data kumuchina wekudzidza modhi uye kugadzirisa parameters dzayo kuderedza kukanganisa.
Muenzaniso: Kudzidzisa recommendation engine pane nhoroondo yekutenga kwevatengi kukurudzira zvigadzirwa zvitsva.
Multimodal AI (Multimodal AI)
Multimodal AI
AI masisitimu anokwanisa kugadzirisa nekubatanidza marudzi akawanda edata senge mavara, mifananidzo, odhiyo, uye vhidhiyo.
Muenzaniso: Modhi seGPT-4 Vision inogona kuverenga mavara uye kududzira mifananidzo panguva imwe chete.
Natural Language Processing (NLP) (Natural Language Processing (NLP))
Natural Language Processing (NLP)
Chikamu cheAI chinotarisa pakudyidzana pakati pemakomputa nemitauro yevanhu (yechisikigo). Inobvumira michina kuverenga, kunzwisisa, uye kupindura mumutauro wevanhu.
Muenzaniso: NLP inoshandiswa muvoice assistants, language translation apps, uye chatbots.
Neural Network (Neural Network)
Neural Network
Muchina wekudzidza modhi yakafuridzirwa nechimiro chehuropi hwevanhu, inoumbwa nemalayers enodes akabatana (neurons).
Muenzaniso: Neural networks iri shure kwemamodeli ekudzidza akadzama anoshandiswa mukuona mifananidzo nekutaura.
Noise (Noise)
Noise
Ruzha rusingatarisirwi kana rusingakoshi mudata runogona kuvhara mapatani ane chinangwa uye kukanganisa kushanda kwemodeli.
Muenzaniso: Zvikanganiso zve sensor kana data entries dzine typo dzinogona kutorwa seruzha.
Ontology (Ontology)
Ontology
Chimiro chakarongwa chinorongedza uye chinotsanangura hukama pakati pezvinangwa mukati menzvimbo, kazhinji inoshandiswa mumasisitimu eAI esemantic.
Muenzaniso: Ontology muhutano inogona kutsanangura kuti zviratidzo zvine hukama sei nezvirwere uye kurapwa.
Overfitting (Overfitting)
Overfitting
Kukanganisa kwekuenzanisa apo muchina wekudzidza modhi inobata ruzha mudata rekudzidzisa uye inoshanda zvisina kunaka pane data idzva.
Muenzaniso: Modhi inoyeuka mhinduro dzekudzidzisa asi isingakwanisi kubata data risina kuonekwa inenge yakanyanya kuita overfitting.
Predictive Analytics (Predictive Analytics)
Predictive Analytics
Kushandiswa kwedata, algorithms, uye AI kuona mukana wezvabuda mune ramangwana zvichibva padata renhoroondo.
Muenzaniso: Vatengesi vanoshandisa predictive analytics kufanotaura kudiwa kwezvimwe zvigadzirwa.
Pre-training (Pre-training)
Pre-training
Maitiro ekutanga kudzidzisa modhi pane hombe, general dataset pamberi pekugadzirisa kwayo kumabasa akananga.
Muenzaniso: GPT models inodzidziswa kare pane large corpora pamberi pekugadziriswa kune customer service chatbots.
Prompt Engineering (Prompt Engineering)
Prompt Engineering
Unhu nesainzi yekugadzira prompts inoshanda kutungamira zvabuda zvemamodeli makuru emitauro.
Muenzaniso: Kuwedzera system instructions se 'Pindura semudzidzisi ane hunhu' muenzaniso we prompt engineering.
Quantisation (Quantisation)
Quantisation
Nzira yekumanikidza modhi inoderedza nhamba yebits inoshandiswa kumiririra weights uye activations, ichisimudzira kushanda zvakanaka.
Muenzaniso: Quantising modhi kubva pa32-bit kusvika pa8-bit inovandudza kushanda pamidziyo yenhare.
Quantum Computing (Quantum Computing)
Quantum Computing
Nzira nyowani yekukomputa yakavakirwa pane quantum mechanics, iyo inobata mukana wekugona kugadzirisa zvakanyanya.
Muenzaniso: Quantum computing inogona rimwe zuva kukurumidza kudzidzisa AI kupfuura miganhu yekare.
Reasoning Engine (Reasoning Engine)
Reasoning Engine
System muAI inobvisa mhedziso dzine musoro kubva kune seti yechokwadi kana data vachishandisa mitemo kana inference algorithms.
Muenzaniso: AI diagnosis tool inoshandisa reasoning engine kubvisa zvinogona kuitika zvekurapa zvichibva pazviratidzo.
Reinforcement Learning (RL) (Reinforcement Learning (RL))
Reinforcement Learning (RL)
Nzvimbo yekudzidza kwemuchina apo agents vanodzidza nekudyidzana nenzvimbo yavo kuti vawedzere mibairo yakawanda.
Muenzaniso: Robhoti rinodzidza kufamba nekuedza nekukanganisa vachishandisa RL techniques.
Reinforcement Learning with Human Feedback (RLHF) (Reinforcement Learning with Human Feedback (RLHF))
Reinforcement Learning with Human Feedback (RLHF)
Nzira yekudzidza apo zvinodiwa nevanhu zvinotungamira chiratidzo chemubairo cheAI, kazhinji inoshandiswa mukugadzirisa mitauro yemamodeli.
Muenzaniso: ChatGPT yakadzidziswa neRLHF kugadzira mhinduro dzinobatsira uye dzakachengeteka.
Retrieval-Augmented Generation (RAG) (Retrieval-Augmented Generation (RAG))
Retrieval-Augmented Generation (RAG)
Nzira inobatanidza kutsvaga ruzivo nekugadzira, apo LLM inotsvaga magwaro akakodzera kuvandudza mhinduro yayo.
Muenzaniso: AI mubatsiri anotsvaga uye anotaura zvigadzirwa zvechigadzirwa achigadzira mhinduro kumubvunzo wehunyanzvi.
Self-Supervised Learning (Self-Supervised Learning)
Self-Supervised Learning
Nzira yekudzidzisa apo modhi inodzidza mapatani nekugadzira marebhu ayo kubva kudata risina kugadzirwa, ichideredza kuvimba nedata rakanyorwa nevanhu.
Muenzaniso: BERT inodzidziswa ne self-supervised learning nekufanotaura mazwi asipo mumavara.
Semantic Search (Semantic Search)
Semantic Search
Nzira yekutsvaga inonzwisisa chinangwa chemushandisi uye zvinorehwa nemamiriro ezvinhu, kwete kungoenderana nemazwi.
Muenzaniso: Kutsvaga 'nzira yekugadzirisa pombi inodonha' kunodzosera magwaro kunyangwe izwi rekuti 'pombi inodonha' risipo mugwaro.
Sentiment Analysis (Sentiment Analysis)
Sentiment Analysis
Maitiro ekuona manzwiro, maonero, kana maitiro mumavara, kazhinji achirongedza seakanaka, asina kunaka, kana asina kwazvakarerekera.
Muenzaniso: Kuongorora tweets kuti uone maonero eruzhinji kune chigadzirwa chitsva.
Stochastic (Stochastic)
Stochastic
Kusanganisira randomness kana probabilistic behaviour, kazhinji inoshandiswa mugenerative AI uye optimisation algorithms.
Muenzaniso: Zvabuda zveGPT-4 zvinosiyana kune imwechete input nekuda kweiyo stochastic decoding process.
Strong AI (Strong AI)
Strong AI
Inozivikanwawo seArtificial General Intelligence (AGI), inoreva michina ine hungwaru hwevanhu pamatanho ese — kufunga, kugadzira, hungwaru hwemanzwiro, nezvimwe.
Muenzaniso: AI yeramangwana inogona kunyora marovhiri, kuronga maguta, uye kugadzirisa matambudziko etsika zvakaenzana.
Super Artificial Intelligence (SAI) (Super Artificial Intelligence (SAI))
Super Artificial Intelligence (SAI)
AI yedzidziso inopfuura hungwaru hwevanhu muzvinhu zvese — kufunga, kugadzira, hungwaru hwemanzwiro, nezvimwe.
Muenzaniso: SAI inogona kudzidzisa sainzi nyowani uye filosofi yakazvimirira.
Supervised Learning (Supervised Learning)
Supervised Learning
Nzira yekudzidza kwemuchina apo mamodeli anodzidziswa pane data rakanyorwa kuti adzidze input-output mappings.
Muenzaniso: Kudzidzisa modhi kurongedza maemail se spam kana kwete vachishandisa mienzaniso yenhoroondo.
Synthetic Data (Synthetic Data)
Synthetic Data
Data rakagadzirwa nemuchina rinotevedzera data rechokwadi, kazhinji rinoshandiswa pakudzidzisa kana data rechokwadi richishomeka kana richinyanya kuvanzika.
Muenzaniso: Kugadzira mifananidzo yekurapa yekudzidzisa mamodeli ekuongorora pasina kutyora kuvanzika kwevarwere.
Token (Token)
Token
Chikamu chemavara chinogadziriswa nemaLLM — kazhinji izwi kana chikamu chezwi.
Muenzaniso: Mutsetse 'Hello world!' unopatsanurwa kuita matokeni matatu: 'Hello', 'world', uye '!'.
Tokenisation (Tokenisation)
Tokenisation
Maitiro ekupatsanura mavara kuita matokeni ekugadzirisa nemodeli.
Muenzaniso: MuNLP, 'ChatGPT is great' inova ['Chat', 'G', 'PT', 'is', 'great'].
Transfer Learning (Transfer Learning)
Transfer Learning
Kushandisa ruzivo kubva kubasa rimwe kusimudzira kudzidza pane rimwe basa rine hukama, zvichideredza nguva yekudzidzisa uye zvinodiwa zvedata.
Muenzaniso: Kugadzirisa modhi yakadzidziswa pamavara echiRungu kuita sentiment analysis mune mumwe mutauro.
Transformer (Transformer)
Transformer
Neural network architecture inoshandisa attention mechanisms kutevedzera sequential data, inoshandiswa zvakanyanya kumaLLM.
Muenzaniso: BERT, GPT, uye T5 ese mamodeli akavakirwa patransformer.
Underfitting (Underfitting)
Underfitting
Kana modhi yakanyanya kureruka kubata mapatani mudata rekudzidzisa, zvichikonzera kushanda zvisina kunaka.
Muenzaniso: Linear model inoedza kufanotaura complex image classifications inogona kuita underfit.
Unsupervised Learning (Unsupervised Learning)
Unsupervised Learning
Nzira yekudzidza apo mamodeli anoziva mapatani kana maklaster mudata risina kunyorwa.
Muenzaniso: Kuunganidza vatengi zvichibva pamaitiro ekutenga pasina marebhu akatsanangurwa kare.
User Intent (User Intent)
User Intent
Chinangwa kana chinangwa chiri shure kwemubvunzo wemushandisi kana kudyidzana.
Muenzaniso: Mushandisi anonyora 'nzira yekubika keke' anogona kunge achida kuwana recipe.
Validation Set (Validation Set)
Validation Set
Chikamu chedata chinoshandiswa kuongorora kushanda kwemodeli panguva yekudzidzisa uye kugadzirisa hyperparameters.
Muenzaniso: Inoshandiswa kuona overfitting pamberi pekuedzwa kwekupedzisira.
Vector Database (Vector Database)
Vector Database
Database yakagadzirirwa kuchengeta nekutsvaga vector embeddings inoshandiswa mumabasa eAI senge similarity search uye RAG.
Muenzaniso: Pinecone naWeaviate mavector databases ekuchengeta mavara kana mifananidzo embeddings.
Vector Embedding (Vector Embedding)
Vector Embedding
Kufananidzira kwenhamba kwedata kunochengetedza zvinorehwa nemazwi uye hukama munzvimbo yevhector.
Muenzaniso: Mazwi 'king' uye 'queen' ane embeddings akafanana ane misiyano midiki yebonde.
Virtual Assistant (Virtual Assistant)
Virtual Assistant
AI-powered software agent inobatsira vashandisi kupedzisa mabasa kuburikidza nekukurukurirana kana mirairo yezwi.
Muenzaniso: Siri, Alexa, uye Google Assistant vatsigiri vepamhepo vanozivikanwa.
Voice Recognition (Voice Recognition)
Voice Recognition
Tekinoroji inodudzira uye inoshandura mutauro wakataurwa kuita mavara kana chiito.
Muenzaniso: Voice typing uye voice commands zvinovimba nemasisitimu ekuona izwi.
Weak AI (Weak AI)
Weak AI
AI masisitimu akagadzirirwa kuita basa rakananga, diki pasina hungwaru hwakazara.
Muenzaniso: Chess-playing AI isingakwanisi kunzwisisa mutauro kana kutyaira motokari muenzaniso we weak AI.
Web Scraping (Web Scraping)
Web Scraping
Kubvisa ruzivo kubva kumawebhusaiti, kazhinji kunoshandiswa kuunganidza data rekudzidzisa kana kutarisa zvinyorwa.
Muenzaniso: Scraping real estate listings kudzidzisa property valuation model.
Weight (Weight)
Weight
Parameter mune neural networks inotsanangura simba rekuita kwe node pane imwe.
Muenzaniso: Weights inogadziriswa panguva yekudzidzisa kuderedza kukanganisa kwemodeli.
Whisper (Whisper)
Whisper
Speech-to-text model yakagadzirwa neOpenAI inokwanisa kunyora odhiyo mumitauro yakawanda.
Muenzaniso: Whisper inogona kunyora hurukuro nemapodcast nekunyatsojeka kwakanyanya.
YAML (YAML)
YAML
Chimiro chinoverengwa nevanhu chedata serialisation, kazhinji chinoshandiswa kumafaira ekugadzirisa mumuchina wekudzidza workflows.
Muenzaniso: Kutsanangura model parameters muYAML faira rekudzidzisa muPyTorch.
Zero-shot Learning (Zero-shot Learning)
Zero-shot Learning
Kugona kwemodeli kuita mabasa isina kumbobvira yadzidziswa zvakananga nekushandisa ruzivo rwakazara.
Muenzaniso: Modhi inopindura mibvunzo yemutemo kunyangwe isina kudzidziswa zvakananga padata remutemo.
Zettabyte (Zettabyte)
Zettabyte
Chikamu chedata redhijitari chakaenzana ne sextillion imwe (10^21) bytes, kazhinji chinoshandiswa kutsanangura huwandu hwedata reinternet.
Muenzaniso: Traffic yeinternet yepasi rose yakapfuura 1 zettabyte pagore panosvika 2016.
