Akara Otani AI Akara AICI
Ụlọ Uru AI Akụkọ N'efu Ọnụ Ahịa Akụkọ AI Ajụjụ Ndị A Na-ajụkarị Kpọtụrụ Anyị Jargon

AI Jargon Buster

Kọwaa okwu ọgụgụ isi aka na ndepụta okwu anyị zuru oke. Site na mmụta igwe ruo na netwọkụ akwara, anyị na-ekewa echiche AI dị mgbagwoju anya n'ime okwu dị mfe.

Ndozi (Alignment)

Alignment
Usoro nke ijide n'aka na ebumnuche, mmepụta, na omume sistemụ AI kwekọrọ na ebumnuche na ụkpụrụ mmadụ. Nke a dị oke mkpa na sistemụ dị elu nwere ike ịmepụta omume na-abụghị nke e bu n'obi.
Ihe Nlereanya: Ijide n'aka na chatbot maka nkwado ahụike uche anaghị atụ aro omume na-emerụ ahụ n'agbanyeghị ngwa ngwa.

Ngwa Mmemme Ngwa (API) (Application Programming Interface (API))

Application Programming Interface (API)
Ntọala iwu na usoro akọwapụtara na-enye ohere ka sistemụ ngwanrọ dị iche iche na-ekwurịta okwu ma na-agbanwe data.
Ihe Nlereanya: Iji OpenAI API ziga ngwa ngwa ma nweta nzaghachi ụdị asụsụ emepụtara na ngwa weebụ gị.

Ọgụgụ Isi Aka Izugbe (AGI) (Artificial General Intelligence (AGI))

Artificial General Intelligence (AGI)
Ụdị AI echiche nwere ike ịrụ ọrụ ọgụgụ isi ọ bụla mmadụ nwere ike. Ọ na-eme ka mmụta dị n'ofe ngalaba.
Ihe Nlereanya: Sistemụ AGI nwere ike ịmụ ihe mejupụtara egwu, rụọ ọrụ ịwa ahụ, ma gafee ule nkà ihe ọmụma na-enweghị mmemme akọwapụtara ọrụ.

Ọgụgụ Isi Aka (AI) (Artificial Intelligence (AI))

Artificial Intelligence (AI)
Nṅomi nke ọgụgụ isi mmadụ n'ime igwe ndị a na-eme mmemme ka ha chee echiche, chee echiche, ma mee ihe n'onwe ha.
Ihe Nlereanya: AI na-enye ndị enyemaka onwe ha ike dị ka Siri na sistemụ ịnya ụgbọ ala na-achị onwe ha dị ka Tesla Autopilot.

Ụkpụrụ Omume AI (AI Ethics)

AI Ethics
Ọzụzụ metụtara ihe gbasara omume nke mmepe na ojiji AI, gụnyere ikpe ziri ezi, nzuzo, ịza ajụjụ, na enweghị ịkpa ókè.
Ihe Nlereanya: Ịmepụta ntuziaka iji gbochie algọridim ịkpọbata mmadụ ịkpa ókè dabere na nwoke ma ọ bụ agbụrụ.

Ọgụgụ Isi Agbakwunyere (Augmented Intelligence)

Augmented Intelligence
Ụdị nkwado ebe AI na-agbakwunye ma na-eme ka ọgụgụ isi mmadụ dịkwuo mma kama iji ya dochie anya.
Ihe Nlereanya: Ngwa redio AI na-egosipụta ihe ndị na-adịghị mma maka ndị dọkịta, bụ ndị na-eme nchọpụta ikpeazụ.

Onye Ọrụ Na-achị Onwe Ya (Autonomous Agent)

Autonomous Agent
Sistemụ AI nwere ike ime mkpebi nke ya ma mee ihe iji nweta ebumnuche ya na-enweghị ntinye aka mmadụ.
Ihe Nlereanya: Robot na-anya onwe ya na-aga n'okporo ámá obodo ma na-ezere ihe mgbochi n'onwe ya.

Nlaghachi Azụ (Backpropagation)

Backpropagation
Ụzọ maka ịzụ netwọkụ akwara site na imelite ibu n'azụ site na mmepụta gaa na ntinye ntinye, na-ebelata mperi amụma.
Ihe Nlereanya: Ejiri ya na ndị na-ekewa ihe oyiyi iji belata ọnụego mperi n'ịmata nọmba aka dere.

Ajọ Mbunobi (Ajọ Mbunobi Algorithmic) (Bias (Algorithmic Bias))

Bias (Algorithmic Bias)
Ịkpa ókè na-enweghị isi na nke usoro na nsonaazụ AI n'ihi data ọzụzụ na-adịghị mma ma ọ bụ na-anọchite anya ya.
Ihe Nlereanya: Sistemụ nnabata ihu na-ezighi ezi na-amata ndị mmadụ nwere agba ugboro ugboro n'ihi enweghị nnọchite anya na data ọzụzụ.

Nnukwu Data (Big Data)

Big Data
Nnukwu data chọrọ ngwaọrụ pụrụ iche iji chekwaa, nyochaa, ma wepụta uru, a na-ejikarị ya azụ ụdị AI.
Ihe Nlereanya: Iji nde mmekọrịta onye ọrụ azụ injin nkwanye maka nyiwe e-commerce.

Ihe Nlereanya Igbe Ojii (Black Box Model)

Black Box Model
Ụdị AI ma ọ bụ ụdị mmụta igwe nke usoro ime ya na-esiri mmadụ ike ịkọwa, na-eme ka o sie ike ịghọta otú e si eme mkpebi.
Ihe Nlereanya: Netwọkụ akwara miri emi ejiri kwado mgbazinye ego mana ọ naghị enye nkọwa doro anya ihe mere e ji nabata otu onye na-achọ akwụkwọ ma jụ onye ọzọ.

Kọmputa Cognitive (Cognitive Computing)

Cognitive Computing
Sistemụ AI emebere iji nṅomi usoro echiche mmadụ, dị ka echiche na mmụta, na-eji usoro dị ka NLP na nnabata ụkpụrụ.
Ihe Nlereanya: Sistemụ kọmputa cognitive na-enyere ndị ọkachamara iwu aka nyochaa iwu ikpe ma buru amụma nsonaazụ.

Ọhụụ Kọmputa (Computer Vision)

Computer Vision
Ngalaba ọgụgụ isi aka na-enyere kọmputa aka ịkọwa ma hazie data anya dị ka ihe oyiyi na vidiyo.
Ihe Nlereanya: Sistemụ nnabata ihu na-amata ndị mmadụ na ihe onyonyo nchekwa na-eji ọhụụ kọmputa.

Corpus (Corpus)

Corpus
Nnukwu nchịkọta ederede ma ọ bụ okwu eji azụ ụdị asụsụ.
Ihe Nlereanya: Common Crawl dataset bụ corpus weebụ ọha eji azụ nnukwu ụdị asụsụ dị ka GPT.

Mgbanwe Data (Data Drift)

Data Drift
Ihe omume ebe data ntinye na-agbanwe ka oge na-aga, na-eme ka arụmọrụ ụdị daa.
Ihe Nlereanya: Ụdị nlekọta amụma maka ngwaahịa ụlọ ọrụ na-adịghịzi mma ka ewebata teknụzụ sensọ ọhụrụ.

Ndebanye Data (Data Labelling)

Data Labelling
Usoro nke ide data na mkpado ma ọ bụ akara iji mee ka ọ dabara maka mmụta nlekọta.
Ihe Nlereanya: Ide puku kwuru puku ihe oyiyi etuto dị ka benign ma ọ bụ malignant iji zụọ ụdị nchọpụta ọrịa kansa.

Ngwuputa Data (Data Mining)

Data Mining
Usoro nke ịchọpụta ụkpụrụ bara uru, njikọ, na ihe ndị na-adịghị mma na nnukwu data.
Ihe Nlereanya: Ndị na-ere ahịa na-eji ngwuputa data chọpụta na ndị na-azụ akwa akwa na-azụkarị biya.

Mmụta Mirie Emie (Deep Learning)

Deep Learning
Ngalaba mmụta igwe na-eji netwọkụ akwara nwere ọtụtụ akwa iji mepụta ụkpụrụ dị mgbagwoju anya na data.
Ihe Nlereanya: A na-eji mmụta miri emi na ụdị asụsụ dị ka GPT-4 na ụdị mmepụta ihe oyiyi dị ka Stable Diffusion.

Ụdị Mgbasa (Diffusion Models)

Diffusion Models
Ụdị ụdị generative na-amụta ịmepụta data site na iji nwayọọ nwayọọ na-agbanwe mkpọtụ na-enweghị usoro ka ọ bụrụ mmepụta ahaziri ahazi.
Ihe Nlereanya: Stable Diffusion na-emepụta ihe oyiyi fotorealistic site na ngwa ngwa ederede na-eji usoro mgbasa.

Ntinye (Embedding)

Embedding
Ngosipụta vector ọnụọgụ nke data, a na-ejikarị ya ejide ihe ọ pụtara n'asụsụ nke okwu, ihe oyiyi, ma ọ bụ ahịrịokwu.
Ihe Nlereanya: Na NLP, okwu 'bank' nwere ike ịnwe ntinye yiri nke 'ego' mana ọ dị iche na 'riverbank' dabere na ọnọdụ.

Epoch (Epoch)

Epoch
Nkwughachi zuru oke n'ofe data ọzụzụ niile n'oge usoro ọzụzụ nke ụdị mmụta igwe.
Ihe Nlereanya: Ọ bụrụ na data nwere ihe atụ 1,000 ma ụdị ahụ ahụ ha niile otu ugboro n'oge ọzụzụ, nke ahụ bụ otu epoch.

AI Na-agbaso Ụkpụrụ Omume (Ethical AI)

Ethical AI
Echiche imewe na ntinye na-eme ka teknụzụ AI rụọ ọrụ n'ụzọ doro anya, ziri ezi, na n'ụzọ kwekọrọ na ụkpụrụ ọha mmadụ.
Ihe Nlereanya: Ngwa ọrụ AI na-ewe mmadụ n'ọrụ nke gụnyere nyocha ajọ mbunobi iji gbochie ịkpa ókè megide ndị pere mpe.

Sistemụ Ọkachamara (Expert System)

Expert System
Sistemụ AI na-eṅomi ikike ime mkpebi nke ọkachamara mmadụ n'otu ngalaba na-eji iwu na echiche.
Ihe Nlereanya: Sistemụ ọkachamara ejiri na ọrụ ugbo iji tụọ aro ọgwụgwọ ihe ọkụkụ dabere na data ala na akụkọ ihe mere eme nke ahụhụ.

AI Akọwara Akọwa (XAI) (Explainable AI (XAI))

Explainable AI (XAI)
Sistemụ AI emebere iji mee ka usoro ime ha na mkpebi ha ghọta mmadụ, na-abawanye ntụkwasị obi na ịza ajụjụ.
Ihe Nlereanya: AI nchọpụta ahụike nke na-enyeghị naanị nkwanye mana ọ na-akọwakwa ihe mgbaàmà butere nkwubi okwu ahụ.

Mmụta Obere Oge (Few-shot Learning)

Few-shot Learning
Ụzọ mmụta igwe ebe a na-azụ ma ọ bụ na-edozi ụdị site na iji naanị obere ihe atụ akara.
Ihe Nlereanya: Ịhazi LLM ka o dee ozi ịntanetị iwu mgbe egosichara ya naanị ihe atụ 10.

Ndozi (Fine-tuning)

Fine-tuning
Usoro nke iwere ụdị azụrụ azụ ma zụọ ya ọzọ na data ọhụrụ, pere mpe iji mee ka ọ bụrụ ọkachamara maka ọrụ akọwapụtara.
Ihe Nlereanya: Ndozi LLM izugbe dị ka GPT na akwụkwọ iwu ime iji mepụta onye enyemaka ide iwu.

Ụdị Ntọala (Foundation Model)

Foundation Model
Ụdị buru ibu azụrụ na data dị iche iche ma sara mbara nke enwere ike imegharị maka ọtụtụ ọrụ dị ala.
Ihe Nlereanya: GPT-4 na PaLM 2 bụ ụdị ntọala nwere ike ime nchịkọta, Q&A, ntụgharị asụsụ, na ihe ndị ọzọ.

Mgbagwoju Anya (Fuzzy Logic)

Fuzzy Logic
Ụdị echiche na-emetụta ụkpụrụ dị nso kama ịbụ eziokwu/ụgha (binary) echiche, bara uru maka echiche n'okpuru ejighị n'aka.
Ihe Nlereanya: Ejiri ya na sistemụ njikwa ihu igwe iji dozie okpomọkụ dabere na ntinye mgbagwoju anya dị ka 'obere ọkụ' ma ọ bụ 'oke oyi'.

Netwọkụ Generative Adversarial (GAN) (Generative Adversarial Network (GAN))

Generative Adversarial Network (GAN)
Ụdị ụdị generative ebe netwọkụ abụọ — onye na-emepụta ihe na onye na-ekewa ihe — na-asọ mpi iji meziwanye ogo mmepụta.
Ihe Nlereanya: A na-eji GANs emepụta vidiyo deepfake ma ọ bụ mepụta foto ngwaahịa ezi uche dị na ya site na sketches.

AI Generative (Generative AI)

Generative AI
Ụdị ọgụgụ isi aka nwere ike ịmepụta ọdịnaya ọhụrụ — dị ka ederede, ihe oyiyi, egwu, ma ọ bụ vidiyo — site na data ọzụzụ.
Ihe Nlereanya: ChatGPT na-emepụta blọọgụ ma ọ bụ Midjourney na-emepụta ihe osise dijitalụ site na ngwa ngwa ederede.

Generative Pre-trained Transformer (GPT) (Generative Pre-trained Transformer (GPT))

Generative Pre-trained Transformer (GPT)
Ụdị nnukwu ụdị asụsụ nke OpenAI mepụtara nke na-eji ihe owuwu transformer ma zụọ ya na nnukwu data ederede iji rụọ ọrụ asụsụ dị iche iche.
Ihe Nlereanya: GPT-4 nwere ike ide edemede, tụgharịa asụsụ, ma chịkọta akwụkwọ na obere ngwa ngwa.

Algorithmu Mkpụrụ Ndụ Ihe Nketa (Genetic Algorithm)

Genetic Algorithm
Ụzọ nkwalite sitere n'ike mmụọ nsọ nke nhọrọ okike ebe ngwọta na-agbanwe ka oge na-aga site na mgbanwe, njikọ, na nhọrọ.
Ihe Nlereanya: Ejiri ya chepụta ihe owuwu netwọkụ akwara dị mma site na iṅomi nlanarị nke ndị kacha mma.

Nrọ (Hallucination)

Hallucination
Mmepụta nke ọdịnaya na-ada ụda mana ọ bụghị eziokwu ma ọ bụ ihe na-enweghị isi site na ụdị AI.
Ihe Nlereanya: Ụdị asụsụ na-emepụta ihe nkwenye na-adịghị adị ma ọ bụ na-enye eziokwu akụkọ ihe mere eme ụgha.

Heuristic (Heuristic)

Heuristic
Ụzọ bara uru maka idozi nsogbu nke na-adịghị ekwe nkwa ngwọta zuru oke mana ọ zuru oke maka ebumnuche ozugbo.
Ihe Nlereanya: Iji iwu mkpịsị aka tụọ oge nnyefe na sistemụ AI logistics.

Hyperparameter (Hyperparameter)

Hyperparameter
Uru nhazi edobere tupu ịzụ ụdị mmụta igwe, dị ka ọnụego mmụta ma ọ bụ ọnụọgụ akwa.
Ihe Nlereanya: Ịhazigharị nha batch site na 32 ruo 128 iji meziwanye ọsọ ọzụzụ na arụmọrụ ụdị.

Nkwubi Okwu (Inference)

Inference
Usoro nke iji ụdị mmụta igwe azụrụ azụ mee amụma ma ọ bụ mepụta mmepụta site na data ntinye ọhụrụ.
Ihe Nlereanya: Iji ụdị GPT edozi edozi dee ozi ịntanetị maka otu nkwado ndị ahịa.

Nchọpụta Ebumnuche (Intent Detection)

Intent Detection
Ọrụ na nghọta asụsụ okike ebe sistemụ na-achọpụta ebumnuche ma ọ bụ ebumnuche onye ọrụ na ozi.
Ihe Nlereanya: Na chatbot, ịmata 'Achọrọ m ịdebanye ụgbọ elu' dị ka ebumnuche ndebanye njem.

Ịntanetị Ihe (IoT) (Internet of Things (IoT))

Internet of Things (IoT)
Netwọkụ nke ngwaọrụ anụ ahụ jikọtara ọnụ agbakwunyere na sensọ, ngwanrọ, na teknụzụ ndị ọzọ iji nakọta ma gbanwee data.
Ihe Nlereanya: Thermostat smart na friji na-akọ data ojiji ma na-edozi ntọala na-eji nyocha AI.

Nkọwa (Interpretability)

Interpretability
Oke nke mmadụ nwere ike ịghọta usoro ime ụdị mmụta igwe na usoro ime mkpebi ya.
Ihe Nlereanya: Osisi mkpebi dị mfe ịkọwa karịa netwọkụ akwara miri emi n'ihi na mkpebi ya nwere ike ịgbaso.

Akwụkwọ Ndekọ Jupyter (Jupyter Notebook)

Jupyter Notebook
Gburugburu kọmputa mmekọrịta mepere emepe na-enye ndị ọrụ ohere ide koodu, gosipụta mmepụta, ma dekọọ nyocha n'otu interface.
Ihe Nlereanya: Ndị ọkà mmụta sayensị data na-eji Akwụkwọ Ndekọ Jupyter mepụta ụdị mmụta igwe ma kesaa nsonaazụ.

K-Nearest Neighbours (KNN) (K-Nearest Neighbours (KNN))

K-Nearest Neighbours (KNN)
Algorithmu mmụta igwe dị mfe, na-abụghị parametric eji maka nhazi na nkwụghachi. Ọ na-eme mkpebi dabere na ihe atụ ọzụzụ kacha nso na oghere njirimara.
Ihe Nlereanya: Iji kewaa mkpụrụ osisi ọhụrụ dị ka apụl ma ọ bụ ube, KNN na-enyocha mkpụrụ osisi akara nke kacha nso n'ụdị na agba.

Grafu Ihe Ọmụma (Knowledge Graph)

Knowledge Graph
Ihe owuwu data na-eji nodes na edges anọchite anya ma chekwaa nkọwa jikọtara ọnụ nke ihe na mmekọrịta ha.
Ihe Nlereanya: Panel ihe ọmụma Google na-enye ike site na grafu ihe ọmụma na-ejikọta ihe dị ka ndị mmadụ, ebe, na ihe omume.

Nkwalite Ụdị Mmụta Asụsụ (LLMO) (Language Learning Model Optimisation (LLMO))

Language Learning Model Optimisation (LLMO)
Ụzọ eji meziwanye arụmọrụ, ịrụ ọrụ nke ọma, ma ọ bụ mgbanwe nke nnukwu ụdị asụsụ maka ọrụ ma ọ bụ ngalaba akọwapụtara.
Ihe Nlereanya: Iji quantisation na ntụziaka tuning iji kwalite LLM maka ojiji ụlọ ọrụ.

Nnukwu Ụdị Asụsụ (LLM) (Large Language Model (LLM))

Large Language Model (LLM)
Ụdị ụdị mmụta miri emi azụrụ na nnukwu data ederede nwere ike ịmepụta, ịghọta, na iche echiche na asụsụ mmadụ.
Ihe Nlereanya: ChatGPT na Claude bụ LLM azụrụ iji nyere aka n'ide ihe, ịkoodu, na ịza ajụjụ.

Oghere Latent (Latent Space)

Latent Space
Ngosipụta abstract dị elu ebe a na-achịkọta ntinye yiri ya nso, eji na ụdị generative na ntinye.
Ihe Nlereanya: Na mmepụta ihe oyiyi, ịmegharị oghere latent nwere ike ịgbanwe njirimara dị ka nchapụta ma ọ bụ mmetụta.

Ọnụego Mmụta (Learning Rate)

Learning Rate
Hyperparameter dị mkpa na ọzụzụ nke na-achịkwa ego ole a na-edozi ibu ụdị n'ihe gbasara gradient mfu.
Ihe Nlereanya: Ọnụego mmụta dị elu nwere ike iduga n'ịgafe minima, ebe ọnụego dị ala na-ebelata ọganihu ọzụzụ.

Mmụta Igwe (ML) (Machine Learning (ML))

Machine Learning (ML)
Ngalaba AI na-enyere sistemụ aka ịmụta site na data ma meziwanye arụmọrụ na-enweghị mmemme akọwapụtara.
Ihe Nlereanya: Ihe nzacha spam na-eji mmụta igwe kewaa ozi ịntanetị dị ka spam ma ọ bụ na ọ bụghị dabere na ihe atụ gara aga.

Mgbanwe Ụdị (Model Drift)

Model Drift
Ihe omume ebe izi ezi nke ụdị na-ebelata ka oge na-aga n'ihi mgbanwe na data ma ọ bụ gburugburu ebe obibi.
Ihe Nlereanya: Ụdị nchọpụta aghụghọ na-adịghịzi mma ka usoro aghụghọ na-agbanwe.

Ọzụzụ Ụdị (Model Training)

Model Training
Usoro nke inye data na ụdị mmụta igwe ma na-edozi paramita ya iji belata mperi.
Ihe Nlereanya: Ịzụ injin nkwanye na akụkọ ihe mere eme ịzụ ahịa ndị ahịa iji tụọ aro ngwaahịa ọhụrụ.

AI Multimodal (Multimodal AI)

Multimodal AI
Sistemụ AI nwere ike hazie ma jikọta ọtụtụ ụdị data dị ka ederede, ihe oyiyi, ọdịyo, na vidiyo.
Ihe Nlereanya: Ụdị dị ka GPT-4 Vision nwere ike ịgụ ederede ma kọwaa ihe oyiyi n'otu oge.

Nhazi Asụsụ Okike (NLP) (Natural Language Processing (NLP))

Natural Language Processing (NLP)
Ngalaba AI lekwasịrị anya na mmekọrịta dị n'etiti kọmputa na asụsụ mmadụ (okike). Ọ na-enyere igwe aka ịgụ, ịghọta, na ịzaghachi n'asụsụ mmadụ.
Ihe Nlereanya: A na-eji NLP na ndị enyemaka olu, ngwa ntụgharị asụsụ, na chatbot.

Netwọkụ Akwara (Neural Network)

Neural Network
Ụdị mmụta igwe sitere n'ike mmụọ nsọ nke ihe owuwu ụbụrụ mmadụ, nke nwere akwa nke nodes jikọtara ọnụ (neurons).
Ihe Nlereanya: Netwọkụ akwara dị n'azụ ụdị mmụta miri emi eji na nnabata ihe oyiyi na okwu.

Mkpọtụ (Noise)

Noise
Ozi na-enweghị usoro ma ọ bụ na-adịghị mkpa na data nwere ike izo ụkpụrụ bara uru ma metụta arụmọrụ ụdị n'ụzọ na-adịghị mma.
Ihe Nlereanya: Mperi sensọ ma ọ bụ ntinye data jupụtara na typo nwere ike ịbụ mkpọtụ.

Ontology (Ontology)

Ontology
Usoro ahaziri ahazi nke na-ekewa ma na-akọwa mmekọrịta dị n'etiti echiche n'ime ngalaba, a na-ejikarị ya na sistemụ AI semantic.
Ihe Nlereanya: Ontology na ahụike nwere ike ịkọwa otú mgbaàmà si metụta ọrịa na ọgwụgwọ.

Overfitting (Overfitting)

Overfitting
Mperi ịme ụdị ebe ụdị mmụta igwe na-ejide mkpọtụ na data ọzụzụ ma na-arụ ọrụ na-adịghị mma na data ọhụrụ.
Ihe Nlereanya: Ụdị na-eburu azịza ọzụzụ n'isi mana ọ nweghị ike ijikwa data ule a na-ahụbeghị bụ overfitting.

Nyocha Amụma (Predictive Analytics)

Predictive Analytics
Ojiji nke data, algọridim, na AI iji chọpụta ohere nke nsonaazụ n'ọdịnihu dabere na data akụkọ ihe mere eme.
Ihe Nlereanya: Ndị na-ere ahịa na-eji nyocha amụma buru amụma maka ngwaahịa ụfọdụ.

Ọzụzụ Tupu (Pre-training)

Pre-training
Usoro nke ịzụ ụdị na mbụ na nnukwu data izugbe tupu ịdozi ya maka ọrụ akọwapụtara.
Ihe Nlereanya: A na-azụ ụdị GPT na nnukwu corpora tupu a hazie ha maka chatbot ọrụ ndị ahịa.

Injinia Ngwa Ngwa (Prompt Engineering)

Prompt Engineering
Nkà na sayensị nke ịmepụta ngwa ngwa dị irè iji duzie mmepụta nke nnukwu ụdị asụsụ.
Ihe Nlereanya: Ịgbakwunye ntụziaka sistemụ dị ka 'Zaghachi dị ka onye nkuzi nwere nkwanye ùgwù' bụ ihe atụ nke injinia ngwa ngwa.

Quantisation (Quantisation)

Quantisation
Ụzọ mkpakọ ụdị na-ebelata ọnụọgụ bits eji anọchite anya ibu na mmemme, na-eme ka arụmọrụ dịkwuo mma.
Ihe Nlereanya: Ịkwalite ụdị site na 32-bit ruo 8-bit na-eme ka arụmọrụ dị na ngwaọrụ mkpanaka dịkwuo mma.

Kọmputa Quantum (Quantum Computing)

Quantum Computing
Ụdị kọmputa ọhụrụ dabere na quantum mechanics, nke nwere ike ịrụ ọrụ nhazi exponential.
Ihe Nlereanya: Kọmputa quantum nwere ike ịkwalite ọzụzụ AI karịa oke oge ochie.

Injinia Echiche (Reasoning Engine)

Reasoning Engine
Sistemụ na AI na-ewepụta nkwubi okwu ezi uche dị na ya site na ntọala eziokwu ma ọ bụ data na-eji iwu ma ọ bụ algọridim nkwubi okwu.
Ihe Nlereanya: Ngwaọrụ nchọpụta AI na-eji injin echiche wepụta ọnọdụ ahụike nwere ike dabere na mgbaàmà.

Mmụta Nkwalite (RL) (Reinforcement Learning (RL))

Reinforcement Learning (RL)
Mpaghara mmụta igwe ebe ndị ọrụ na-amụta site na mmekọrịta ha na gburugburu ebe obibi ha iji bulie ụgwọ ọrụ.
Ihe Nlereanya: Robot na-amụta ije ije site na nnwale na mperi na-eji usoro RL.

Mmụta Nkwalite na Nzaghachi Mmadụ (RLHF) (Reinforcement Learning with Human Feedback (RLHF))

Reinforcement Learning with Human Feedback (RLHF)
Ụzọ mmụta ebe mmasị mmadụ na-eduzi akara ụgwọ ọrụ AI, a na-ejikarị ya na-edozi ụdị asụsụ.
Ihe Nlereanya: A zụrụ ChatGPT na RLHF iji mepụta nzaghachi bara uru na nchekwa.

Ọgbọ Agbakwunyere Nchọpụta (RAG) (Retrieval-Augmented Generation (RAG))

Retrieval-Augmented Generation (RAG)
Ụzọ na-ejikọta nchọpụta ozi na mmepụta, ebe LLM na-achọta akwụkwọ dị mkpa iji meziwanye nzaghachi ya.
Ihe Nlereanya: Onye enyemaka AI na-achọta ma na-ehota nkọwa ngwaahịa mgbe ọ na-emepụta azịza maka ajụjụ teknụzụ.

Mmụta Onwe Onye (Self-Supervised Learning)

Self-Supervised Learning
Ụzọ ọzụzụ ebe ụdị na-amụta ụkpụrụ site na ịmepụta akara nke ya site na data raw, na-ebelata ịdabere na data mmadụ akara.
Ihe Nlereanya: A na-azụ BERT na mmụta onwe onye site na ịkọ amụma okwu na-efu efu na ederede.

Nchọpụta Semantic (Semantic Search)

Semantic Search
Ụzọ nchọpụta na-aghọta ebumnuche onye ọrụ na ihe ọ pụtara n'ọnọdụ, ọ bụghị naanị dakọtara okwu isi.
Ihe Nlereanya: Ịchọ 'otú e si edozi mgbata na-agbapụta' na-eweghachi ntuziaka ọbụlagodi na okwu 'mgbata na-agbapụta' adịghị na akwụkwọ ahụ.

Nyocha Mmetụta (Sentiment Analysis)

Sentiment Analysis
Usoro nke ịchọpụta mmetụta uche, echiche, ma ọ bụ àgwà na ederede, a na-ejikarị ya ekewa dị ka nke dị mma, nke na-adịghị mma, ma ọ bụ nke na-anọpụ iche.
Ihe Nlereanya: Nyocha tweets iji tụọ mmeghachi omume ọha na ngwaahịa ọhụrụ.

Stochastic (Stochastic)

Stochastic
Na-agụnye enweghị usoro ma ọ bụ omume probabilistic, a na-ejikarị ya na AI generative na algọridim nkwalite.
Ihe Nlereanya: Mmepụta nke GPT-4 dị iche maka otu ntinye n'ihi usoro nkwụsị stochastic ya.

AI Sịkwara Ike (Strong AI)

Strong AI
A makwaara dị ka Ọgụgụ Isi Aka Izugbe (AGI), na-ezo aka na igwe nwere ikike ọgụgụ isi mmadụ n'ofe ngalaba niile.
Ihe Nlereanya: AI n'ọdịnihu nwere ike ide akwụkwọ akụkọ n'onwe ya, hazie obodo, ma dozie nsogbu omume n'otu aka ahụ.

Ọgụgụ Isi Aka Dị Elu (SAI) (Super Artificial Intelligence (SAI))

Super Artificial Intelligence (SAI)
AI echiche na-akarị ọgụgụ isi mmadụ n'akụkụ niile—echiche, ihe okike, ọgụgụ isi mmetụta uche, wdg.
Ihe Nlereanya: SAI nwere ike ịmepụta sayensị na nkà ihe ọmụma ọhụrụ n'onwe ya.

Mmụta Nlekọta (Supervised Learning)

Supervised Learning
Ụzọ mmụta igwe ebe a na-azụ ụdị na data akara iji mụta map ntinye-mmepụta.
Ihe Nlereanya: Ịkụziri ụdị ka ọ kewaa ozi ịntanetị dị ka spam ma ọ bụ na ọ bụghị na-eji ihe atụ akụkọ ihe mere eme.

Data Synthetic (Synthetic Data)

Synthetic Data
Data emepụtara n'ụzọ aka na-eṅomi data ụwa n'ezie, a na-ejikarị ya azụ mgbe data n'ezie dị ụkọ ma ọ bụ nwee mmetụta.
Ihe Nlereanya: Ịmepụta ihe oyiyi ahụike synthetic iji zụọ ụdị nchọpụta na-emebighị nzuzo onye ọrịa.

Token (Token)

Token
Ngalaba ederede LLM na-ahazi—na-abụkarị okwu ma ọ bụ akụkụ okwu.
Ihe Nlereanya: Ahịrịokwu 'Ndewo ụwa!' kewara n'ime tokens 3: 'Ndewo', 'ụwa', na '!'.

Tokenisation (Tokenisation)

Tokenisation
Usoro nke ikewa ederede n'ime tokens maka nhazi site na ụdị.
Ihe Nlereanya: Na NLP, 'ChatGPT dị mma' na-aghọ ['Chat', 'G', 'PT', 'dị', 'mma'].

Mmụta Nyefe (Transfer Learning)

Transfer Learning
Iji ihe ọmụma sitere n'otu ọrụ meziwanye mmụta na ọrụ ọzọ metụtara ya, na-ebelata oge ọzụzụ na mkpa data.
Ihe Nlereanya: Ndozi ụdị azụrụ na ederede Bekee iji rụọ nyocha mmetụta n'asụsụ ọzọ.

Transformer (Transformer)

Transformer
Ihe owuwu netwọkụ akwara na-eji usoro nlebara anya iji mepụta data sequential, a na-ejikarị ya na LLM.
Ihe Nlereanya: BERT, GPT, na T5 bụ ụdị dabere na transformer.

Underfitting (Underfitting)

Underfitting
Mgbe ụdị dị oke mfe iji jide ụkpụrụ na data ọzụzụ, na-ebute arụmọrụ na-adịghị mma.
Ihe Nlereanya: Ụdị linear na-anwa ịkọ amụma nhazi ihe oyiyi dị mgbagwoju anya nwere ike ịda ada.

Mmụta Na-enweghị Nlekọta (Unsupervised Learning)

Unsupervised Learning
Ụzọ mmụta ebe ụdị na-achọpụta ụkpụrụ ma ọ bụ ụyọkọ na data na-enweghị akara.
Ihe Nlereanya: Ịchịkọta ndị ahịa dabere na omume ịzụ ahịa na-enweghị akara akọwapụtara.

Ebumnuche Onye Ọrụ (User Intent)

User Intent
Ebumnuche ma ọ bụ ebumnuche dị n'azụ ajụjụ ma ọ bụ mmekọrịta onye ọrụ.
Ihe Nlereanya: Onye ọrụ na-ede 'otú e si eme achịcha' nwere ike ịchọta uzommeputa.

Ntọala Nkwenye (Validation Set)

Validation Set
Akụkụ data eji atụle arụmọrụ ụdị n'oge ọzụzụ na ịdozi hyperparameters.
Ihe Nlereanya: Ejiri ya achọpụta overfitting tupu ule ikpeazụ.

Nchekwa Data Vector (Vector Database)

Vector Database
Nchekwa data emebere iji chekwaa ma chọọ ntinye vector eji na ọrụ AI dị ka nchọpụta yiri ya na RAG.
Ihe Nlereanya: Pinecone na Weaviate bụ nchekwa data vector maka ịchekwa ederede ma ọ bụ ntinye ihe oyiyi.

Ntinye Vector (Vector Embedding)

Vector Embedding
Ngosipụta ọnụọgụ nke data na-echekwa ihe ọ pụtara n'asụsụ na mmekọrịta na oghere vector.
Ihe Nlereanya: Okwu 'eze' na 'eze nwanyị' nwere ntinye yiri ya na obere ọdịiche nwoke na nwanyị.

Enyemaka Virtual (Virtual Assistant)

Virtual Assistant
Onye ọrụ ngwanrọ AI na-enyere ndị ọrụ aka ịrụcha ọrụ site na mkparịta ụka ma ọ bụ iwu olu.
Ihe Nlereanya: Siri, Alexa, na Google Assistant bụ ndị enyemaka virtual a ma ama.

Nchọpụta Olu (Voice Recognition)

Voice Recognition
Teknụzụ na-akọwa ma na-agbanwe asụsụ a na-ekwu ka ọ bụrụ ederede ma ọ bụ omume.
Ihe Nlereanya: Ịde olu na iwu olu dabere na sistemụ nchọpụta olu.

AI Na-adịghị Ike (Weak AI)

Weak AI
Sistemụ AI emebere iji rụọ ọrụ dị warara, akọwapụtara na-enweghị ọgụgụ isi izugbe.
Ihe Nlereanya: AI na-egwu chess nke na-enweghị ike ịghọta asụsụ ma ọ bụ ịnya ụgbọ ala bụ ihe atụ nke AI na-adịghị ike.

Nchịkọta Weebụ (Web Scraping)

Web Scraping
Mwepụta ozi akpaaka site na weebụsaịtị, a na-ejikarị ya anakọta data ọzụzụ ma ọ bụ nyochaa ọdịnaya.
Ihe Nlereanya: Nchịkọta ndepụta ụlọ iji zụọ ụdị nyocha ihe onwunwe.

Ibu (Weight)

Weight
Paramita na netwọkụ akwara na-ekpebi ike mmetụta otu node nwere na nke ọzọ.
Ihe Nlereanya: Ibu na-edozi n'oge ọzụzụ iji belata mperi ụdị.

Whisper (Whisper)

Whisper
Ụdị okwu-na-ederede nke OpenAI mepụtara nwere ike idegharị ọdịyo n'ọtụtụ asụsụ.
Ihe Nlereanya: Whisper nwere ike idegharị nkuzi na pọdkastị na izi ezi dị elu.

YAML (YAML)

YAML
Ụdị ederede mmadụ nwere ike ịgụ maka usoro data, a na-ejikarị ya maka faịlụ nhazi na usoro ọrụ mmụta igwe.
Ihe Nlereanya: Ịkọwa paramita ụdị na faịlụ YAML maka ọzụzụ na PyTorch.

Mmụta Zero-shot (Zero-shot Learning)

Zero-shot Learning
Ikike nke ụdị ịrụ ọrụ ọ na-azụbeghị n'ụzọ doro anya site na iji ihe ọmụma izugbe.
Ihe Nlereanya: Ụdị na-aza ajụjụ iwu n'agbanyeghị na a zụghị ya kpọmkwem na data iwu.

Zettabyte (Zettabyte)

Zettabyte
Ngalaba data dijitalụ hà nhata otu sextillion (10^21) bytes, a na-ejikarị ya akọwa oke data ịntanetị.
Ihe Nlereanya: Okporo ụzọ ịntanetị zuru ụwa ọnụ gafere 1 zettabyte kwa afọ site na 2016.