Kukotakana (Alignment)
Alignment
Nsamu ya kusala nde sistemu ya AI ya kele na banzila, banzila, mpe bikalulu ya kele na banzila ya bantu. Yai kele mfunu mingi na ba sistemu ya nene yina lenda yidika bikalulu yina vandaka ve na lukanu.
Mbandu: Kusala nde chatbot ya lusadisu ya mavimpi ya mabanza kubika ve kusonga bisalu ya mbi ata na banzila ya nene.
Application Programming Interface (API) (Application Programming Interface (API))
Application Programming Interface (API)
Kuyidika ya banzila mpe banzila yina ke pesaka nzila na ba sistemu ya software ya kusolula mpe kukabula ba data.
Mbandu: Kusadila OpenAI API sambu na kutinda nsangu mpe kubaka mvutu ya ndinga ya modela ya kuyidika na app na nge ya web.
Artificial General Intelligence (AGI) (Artificial General Intelligence (AGI))
Artificial General Intelligence (AGI)
Mutindu ya AI ya teoretike yina lenda sala kisalu yonso ya mayele yina muntu lenda sala. Yau ke longuka na bisika yonso.
Mbandu: Sistemu ya AGI lenda longuka kuyidika miziki, kusala operasio, mpe kuluta examen ya filozofi na mpamba ve na program ya kisalu.
Artificial Intelligence (AI) (Artificial Intelligence (AI))
Artificial Intelligence (AI)
Kusala ya mayele ya muntu na ba masini yina kele na program ya kubanza, kubanza, mpe kusala na mpamba.
Mbandu: AI ke sadisaka ba assistant ya muntu bonso Siri mpe ba sistemu ya kutambula na mpamba bonso Tesla Autopilot.
AI Ethics (AI Ethics)
AI Ethics
Discipline yina ke tadilaka mambu ya mambu ya kuyidika mpe kusadila ya AI, ti mambu ya lunungu, ya kinsweki, ya kulemfuka, mpe ya kubika ve kusala diskriminasion.
Mbandu: Kuyidika banzila sambu na kubika nde ba algoritme ya kusala bisalu kubika ve kusala diskriminasion na kutadila mutindu ya muntu to ya dikanda.
Augmented Intelligence (Augmented Intelligence)
Augmented Intelligence
Model ya kusala kisalu ya kukabula kisalu yina AI ke sadisaka mpe ke yidika mayele ya muntu na kisika ya kubaka kisika na yau.
Mbandu: Ba bisalu ya radiologie ya AI yina ke songaka mambu ya mpasi na ba doktere, yina ke bakaka banzila ya nsuka.
Autonomous Agent (Autonomous Agent)
Autonomous Agent
Sistemu ya AI yina lenda baka banzila na yau mosi mpe kusala bisalu sambu na kukuma na banzila na yau na mpamba ve na lusadisu ya muntu.
Mbandu: Robot ya kusala bisalu ya kutambula na mpamba yina ke tambulaka na banzila ya mbanza mpe ke kanga ve na mambu ya mpasi na mpamba.
Backpropagation (Backpropagation)
Backpropagation
Tekiniki ya kulonguka ba reseau ya ba neurone na kusoba ba poids na nima katuka ba couches ya output ti ba couches ya input, na kusala nde ba erreurs ya prediction kubika ve.
Mbandu: Kusadila na kulonguka ba classificateur ya ba images sambu na kubika ve ba erreurs na kubakisa ba chiffres ya kusonika na diboko.
Bias (Algorithmic Bias) (Bias (Algorithmic Bias))
Bias (Algorithmic Bias)
Kusala ya mpamba mpe ya sistemu ya kusala bisalu ya AI na mpamba ve na ba data ya kulonguka ya mpamba to ya kele ve na banzila.
Mbandu: Sistemu ya kubakisa luzolo ya bantu yina ke bakisaka ve bantu ya ndombe na mpamba ve na ba data ya kulonguka.
Big Data (Big Data)
Big Data
Ba data ya nene mingi yina kele na mfunu ya ba bisalu ya sikisiki sambu na kusala, kusala, mpe kubaka mfunu, mbala mingi ke sadilaka sambu na kulonguka ba modela ya AI.
Mbandu: Kusadila ba millions ya ba interaction ya bantu sambu na kulonguka ba moteur ya recommandation sambu na ba plateforme ya e-commerce.
Black Box Model (Black Box Model)
Black Box Model
Mutindu ya AI to ya modela ya kulonguka ya masini yina kele ve na mpamba na kubakisa na bantu, na kusala nde kubakisa mutindu banzila ke bakaka kele mpasi.
Mbandu: Reseau ya neurone ya nda ya kusadila sambu na kubaka ba pre ya nene na mpamba ve na malongi ya pwelele sambu na nki muntu mosi bakaka mpe muntu ya nkaka bakaka ve.
Cognitive Computing (Cognitive Computing)
Cognitive Computing
Ba sistemu ya AI yina kele na lukanu ya kusala bisalu ya mabanza ya muntu, bonso kubanza mpe kulonguka, na kusadila ba tekiniki bonso NLP mpe kubakisa ba forme.
Mbandu: Sistemu ya cognitive computing yina ke sadisaka ba professionnel ya mambu ya nsiku na kusala ba analyse ya mambu ya nsiku mpe kubaka banzila ya nsuka.
Computer Vision (Computer Vision)
Computer Vision
Kisika ya mayele ya masini yina ke pesaka ba ordinateur nzila ya kubakisa mpe kusala ba data ya visual bonso ba images mpe ba video.
Mbandu: Ba sistemu ya kubakisa luzolo ya bantu yina ke bakisaka bantu na ba video ya sekurite na kusadila computer vision.
Corpus (Corpus)
Corpus
Kuyidika ya nene ya ba textes ya kusonika to ya kusolula ya kusadila sambu na kulonguka ba modela ya ndinga.
Mbandu: Common Crawl dataset kele corpus ya web ya bantu ya kusadila sambu na kulonguka ba modela ya ndinga ya nene bonso GPT.
Data Drift (Data Drift)
Data Drift
Mambu yina ke salaka nde ba data ya input kusoba na ntangu, na kusala nde modela ya kisalu kubika ve.
Mbandu: Modela ya predictive maintenance sambu na ba bisalu ya industrie kele ve na mpamba na ntangu ya kuyidika ya tekiniki ya sensor ya mpa.
Data Labelling (Data Labelling)
Data Labelling
Nsamu ya kusala ba annotation ya data na ba tags to ba labels sambu na kusala nde yau kubika na mpamba sambu na kulonguka ya supervised.
Mbandu: Kulabela ba milliers ya ba images ya tumeur bonso benign to malignant sambu na kulonguka modela ya cancer detection.
Data Mining (Data Mining)
Data Mining
Nsamu ya kubakisa ba forme ya mfunu, ba correlation, mpe ba anomalie na ba data ya nene.
Mbandu: Ba commerçant ya nene ke sadilaka data mining sambu na kubakisa nde bantu yina ke sumbaka ba couches mbala mingi ke sumbaka mpe biere.
Deep Learning (Deep Learning)
Deep Learning
Kisika ya kulonguka ya masini yina ke sadilaka ba reseau ya ba neurone ya ba couches mingi sambu na kusala ba forme ya mpasi na ba data.
Mbandu: Deep learning ke sadilaka na ba modela ya ndinga bonso GPT-4 mpe ba modela ya kuyidika ba images bonso Stable Diffusion.
Diffusion Models (Diffusion Models)
Diffusion Models
Mutindu ya ba modela ya generative yina ke longukaka kuyidika ba data na kusoba na mpamba ve ba bruit ya mpamba na ba output ya kuyidika.
Mbandu: Stable Diffusion ke salaka ba images ya photorealistic katuka ba prompt ya texte na kusadila ba tekiniki ya diffusion.
Embedding (Embedding)
Embedding
Kuyidika ya ba chiffres ya ba data, mbala mingi ya kusadila sambu na kubakisa mfunu ya ba ndinga, ba images, to ba phrases.
Mbandu: Na NLP, ndinga 'bank' lenda vanda na ba embedding ya kifwani na 'money' kansi ya kuswaswana na 'riverbank' na kutadila context.
Epoch (Epoch)
Epoch
Kuyidika ya mvimba ya ba data ya kulonguka na ntangu ya kulonguka ya modela ya kulonguka ya masini.
Mbandu: Kana ba data kele na 1,000 ya ba mbandu mpe modela ke monaka yau yonso mbala mosi na ntangu ya kulonguka, yau kele epoch mosi.
Ethical AI (Ethical AI)
Ethical AI
Filozofi ya kuyidika mpe kusadila yina ke salaka nde ba tekiniki ya AI kusala na pwelele, na lunungu, mpe na banzila ya bantu.
Mbandu: Kisalu ya AI ya kusala bisalu yina kele na ba check ya bias sambu na kubika ve diskriminasion na ba candidat ya minorite.
Expert System (Expert System)
Expert System
Sistemu ya AI yina ke salaka bonso mayele ya muntu na kisika ya sikisiki na kusadila banzila mpe logique.
Mbandu: Sistemu ya expert ya kusadila na agriculture sambu na kusonga ba traitement ya ba cultures na kutadila ba data ya ntoto mpe histoire ya ba peste.
Explainable AI (XAI) (Explainable AI (XAI))
Explainable AI (XAI)
Ba sistemu ya AI yina kele na lukanu ya kusala nde ba processus ya ndani mpe banzila na yau kubakisa na bantu, na kusala nde lukwikilu mpe kulemfuka kubika.
Mbandu: AI ya diagnostic ya minganga yina ke pesaka ve kaka recommandation kansi mpe ke songaka nki ba symptome salaka nde yau kubaka banzila.
Few-shot Learning (Few-shot Learning)
Few-shot Learning
Mutindu ya kulonguka ya masini yina modela ke longukaka to ke fine-tunaka na kusadila kaka ba mbandu ya fioti ya labelled.
Mbandu: Kusala LLM sambu na kusonika ba email ya nsiku na nima ya kusonga yau kaka 10 ya ba mbandu.
Fine-tuning (Fine-tuning)
Fine-tuning
Nsamu ya kubaka modela ya pre-trained mpe kulonguka yau na ba data ya mpa, ya fioti sambu na kusala nde yau kubika na mpamba sambu na kisalu ya sikisiki.
Mbandu: Fine-tuning ya LLM ya nene bonso GPT na ba document ya nsiku ya ndani sambu na kuyidika assistant ya nsiku.
Foundation Model (Foundation Model)
Foundation Model
Modela ya nene ya kulonguka na ba data ya kuswaswana mpe ya nene yina lenda sadila na bisalu mingi ya nima.
Mbandu: GPT-4 mpe PaLM 2 kele ba modela ya foundation yina lenda sala ba summarisation, Q&A, translation, mpe nkaka.
Fuzzy Logic (Fuzzy Logic)
Fuzzy Logic
Mutindu ya logique yina ke tadilaka ba ntalu ya kifwani na kisika ya ba logique ya true/false (binary), ya mfunu sambu na kubanza na mpamba ve na lukwikilu.
Mbandu: Kusadila na ba sistemu ya climate control sambu na kusoba temperature na kutadila ba input ya fuzzy bonso 'fioti ya tiya' to 'ngolo ya mpio'.
Generative Adversarial Network (GAN) (Generative Adversarial Network (GAN))
Generative Adversarial Network (GAN)
Architecture ya modela ya generative yina ba reseau zole — generator mpe discriminator — ke kanga sambu na kuyidika qualité ya output.
Mbandu: GANs ke sadilaka sambu na kuyidika ba video ya deepfake to kuyidika ba photo ya produit ya kieleka katuka ba sketch.
Generative AI (Generative AI)
Generative AI
Mutindu ya mayele ya masini yina lenda kuyidika ba contenu ya mpa — bonso texte, images, miziki, to video — katuka ba data ya kulonguka.
Mbandu: ChatGPT ke kuyidika ba blog posts to Midjourney ke kuyidika ba digital artwork katuka ba textual prompts.
Generative Pre-trained Transformer (GPT) (Generative Pre-trained Transformer (GPT))
Generative Pre-trained Transformer (GPT)
Mutindu ya ba modela ya ndinga ya nene ya kuyidika na OpenAI yina ke sadilaka architecture ya transformer mpe kele pre-trained na ba quantité ya nene ya ba data ya texte sambu na kusala bisalu mingi ya ndinga.
Mbandu: GPT-4 lenda sonika ba essai, kusoba ba ndinga, mpe kusala ba summarisation ya ba document na mpamba ve na prompting.
Genetic Algorithm (Genetic Algorithm)
Genetic Algorithm
Tekiniki ya optimisation yina kele na lusadisu ya selection ya bantu yina ba solution ke longukaka na ntangu na kusadila mutation, crossover, mpe selection.
Mbandu: Kusadila sambu na kuyidika ba architecture ya reseau ya neurone ya mbote na kusala simulation ya survival of the fittest.
Hallucination (Hallucination)
Hallucination
Kuyidika ya ba contenu ya kele na mpamba kansi ya kele ve na kieleka to ya kele ve na mfunu na modela ya AI.
Mbandu: Modela ya ndinga ke kuyidika citation ya kele ve to ke pesaka ba fait ya histoire ya luvunu.
Heuristic (Heuristic)
Heuristic
Nsamu ya kusala bisalu ya mpasi yina kele ve na garantie ya solution ya mbote kansi kele na mpamba sambu na ba lukanu ya ntangu.
Mbandu: Kusadila rule of thumb sambu na kubaka ntangu ya kusala bisalu na sistemu ya AI ya logistique.
Hyperparameter (Hyperparameter)
Hyperparameter
Ntalu ya configuration ya kuyidika na ntwala ya kulonguka modela ya kulonguka ya masini, bonso learning rate to ntalu ya ba couches.
Mbandu: Kusoba batch size katuka 32 ti 128 sambu na kuyidika vitesse ya kulonguka mpe performance ya modela.
Inference (Inference)
Inference
Nsamu ya kusadila modela ya kulonguka sambu na kusala ba prediction to kuyidika ba output katuka ba data ya input ya mpa.
Mbandu: Kusadila modela ya GPT ya fine-tuned sambu na kusonika ba email sambu na equipe ya customer support.
Intent Detection (Intent Detection)
Intent Detection
Kisalu na kubakisa ndinga ya bantu yina sistemu ke bakisaka lukanu ya muntu to lukanu na nsangu.
Mbandu: Na chatbot, kubakisa 'Nge ke zola kubaka avion' bonso lukanu ya kubaka avion.
Internet of Things (IoT) (Internet of Things (IoT))
Internet of Things (IoT)
Reseau ya ba appareil ya fiziki ya kukotakana na ba capteur, software, mpe ba tekiniki ya nkaka sambu na kusala mpe kukabula ba data.
Mbandu: Ba thermostat ya mayele mpe ba frigo yina ke songaka ba data ya kusadila mpe ke sobaka ba setting na kusadila AI analytics.
Interpretability (Interpretability)
Interpretability
Ntalu yina muntu lenda bakisa ba mecanisme ya ndani ya modela ya kulonguka ya masini mpe processus na yau ya kubaka banzila.
Mbandu: Arbre ya banzila kele na mpamba na kubakisa na kisika ya reseau ya neurone ya nda sambu na nki banzila na yau kele na mpamba na kubakisa.
Jupyter Notebook (Jupyter Notebook)
Jupyter Notebook
Environnement ya informatique ya open-source yina ke pesaka bantu nzila ya kusonika code, kusala ba output, mpe kusala ba analyse na interface mosi.
Mbandu: Ba data scientist ke sadilaka Jupyter Notebooks sambu na kusala ba prototype ya modela ya kulonguka ya masini mpe kukabula ba resultat.
K-Nearest Neighbours (KNN) (K-Nearest Neighbours (KNN))
K-Nearest Neighbours (KNN)
Algorithme ya kulonguka ya masini ya mpamba, ya non-parametric ya kusadila sambu na classification mpe regression. Yau ke bakaka banzila na kutadila ba mbandu ya kulonguka ya kuluta penepene na kisika ya feature.
Mbandu: Sambu na kukabula mbuma ya mpa bonso pomme to poire, KNN ke talaka nki ba mbuma ya labelled kele ya kuluta penepene na forme mpe na couleur.
Knowledge Graph (Knowledge Graph)
Knowledge Graph
Structure ya data yina ke sadilaka ba node mpe ba edge sambu na kusala mpe kusala ba description ya ba entite mpe ba relation na yau.
Mbandu: Panel ya Google ya mayele kele na lusadisu ya knowledge graph yina ke kanga ba entite bonso bantu, bisika, mpe ba evenement.
Language Learning Model Optimisation (LLMO) (Language Learning Model Optimisation (LLMO))
Language Learning Model Optimisation (LLMO)
Tekiniki ya kusadila sambu na kuyidika performance, efficacite, to adaptabilite ya ba modela ya ndinga ya nene sambu na bisalu to ba domaine ya sikisiki.
Mbandu: Kusadila quantisation mpe instruction tuning sambu na kuyidika LLM sambu na kusadila na entreprise.
Large Language Model (LLM) (Large Language Model (LLM))
Large Language Model (LLM)
Mutindu ya modela ya deep learning ya kulonguka na ba quantité ya nene ya ba data ya textual yina lenda kuyidika, kubakisa, mpe kubanza na ndinga ya bantu.
Mbandu: ChatGPT mpe Claude kele ba LLM ya kulonguka sambu na kusadisa na kusonika, coding, mpe kubaka mvutu ya ba ntu-dyambu.
Latent Space (Latent Space)
Latent Space
Kuyidika ya abstract ya ba dimension ya nene yina ba input ya kifwani kele na mpamba na kusala, ya kusadila na ba modela ya generative mpe ba embedding.
Mbandu: Na kuyidika ya image, kusala manipulation ya latent space lenda soba ba feature bonso brightness to emotion.
Learning Rate (Learning Rate)
Learning Rate
Hyperparameter ya mfunu na kulonguka yina ke kontrolaka ntalu yina ba poids ya modela ke sobaka na kutadila gradient ya loss.
Mbandu: Learning rate ya nene lenda sala nde kubika ve minima, kansi learning rate ya fioti lenda sala nde kulonguka kubika mpasi.
Machine Learning (ML) (Machine Learning (ML))
Machine Learning (ML)
Kisika ya AI yina ke pesaka ba sistemu nzila ya kulonguka na ba data mpe kuyidika performance na mpamba ve na program ya sikisiki.
Mbandu: Ba filtre ya spam ke sadilaka machine learning sambu na kukabula ba email bonso spam to ve na kutadila ba mbandu ya ntama.
Model Drift (Model Drift)
Model Drift
Mambu yina ke salaka nde accuracy ya modela kubika na ntangu na kutadila ba soba na data to na environnement.
Mbandu: Modela ya fraud detection kele ve na mpamba na ntangu ya kuyidika ya ba tactique ya fraud.
Model Training (Model Training)
Model Training
Nsamu ya kusala ba data na modela ya kulonguka ya masini mpe kusoba ba parametre na yau sambu na kubika ve erreur.
Mbandu: Kulonguka moteur ya recommandation na histoire ya ba achat ya bantu sambu na kusonga ba produit ya mpa.
Multimodal AI (Multimodal AI)
Multimodal AI
Ba sistemu ya AI yina lenda sala mpe kukotakana ba mutindu mingi ya data bonso texte, images, audio, mpe video.
Mbandu: Modela bonso GPT-4 Vision yina lenda tanga texte mpe kubakisa images na ntangu mosi.
Natural Language Processing (NLP) (Natural Language Processing (NLP))
Natural Language Processing (NLP)
Kisika ya AI yina ke tadilaka interaction na kati ya ba ordinateur mpe ba ndinga ya bantu (natural). Yau ke pesaka ba masini nzila ya kutanga, kubakisa, mpe kubaka mvutu na ndinga ya bantu.
Mbandu: NLP ke sadilaka na ba assistant ya ndinga, ba app ya translation ya ndinga, mpe ba chatbot.
Neural Network (Neural Network)
Neural Network
Modela ya kulonguka ya masini yina kele na lusadisu ya structure ya mabanza ya muntu, ya kuyidika na ba couches ya ba node ya kukotakana (neurons).
Mbandu: Ba reseau ya neurone kele na nima ya ba modela ya deep learning ya kusadila na kubakisa images mpe ndinga.
Noise (Noise)
Noise
Nsangu ya mpamba to ya kele ve na mfunu na data yina lenda kanga ba forme ya mfunu mpe kusala mbi na performance ya modela.
Mbandu: Ba erreur ya sensor to ba data ya typo-filled lenda vanda noise.
Ontology (Ontology)
Ontology
Kuyidika ya framework yina ke kabaka mpe ke songaka ba relation na kati ya ba concept na domaine, mbala mingi ya kusadila na ba sistemu ya semantic AI.
Mbandu: Ontology na mavimpi lenda songa mutindu ba symptome kele na relation na ba maladi mpe ba traitement.
Overfitting (Overfitting)
Overfitting
Erreur ya modela yina modela ya kulonguka ya masini ke bakisaka noise na ba data ya kulonguka mpe ke salaka mbi na ba data ya mpa.
Mbandu: Modela yina ke longukaka ba mvutu ya kulonguka kansi lenda kanga ve ba data ya test ya mpa kele overfitted.
Predictive Analytics (Predictive Analytics)
Predictive Analytics
Kusadila ya data, ba algorithme, mpe AI sambu na kubakisa ntalu ya ba resultat ya nima na kutadila ba data ya ntama.
Mbandu: Ba commerçant ya nene ke sadilaka predictive analytics sambu na kubaka ntalu ya ba demande ya ba produit ya sikisiki.
Pre-training (Pre-training)
Pre-training
Nsamu ya kulonguka modela na ba data ya nene, ya nene na ntwala ya fine-tuning sambu na bisalu ya sikisiki.
Mbandu: Ba modela ya GPT kele pre-trained na ba corpora ya nene na ntwala ya kusala ba chatbot ya customer service.
Prompt Engineering (Prompt Engineering)
Prompt Engineering
Art mpe science ya kuyidika ba prompt ya mbote sambu na kusala nde ba output ya ba modela ya ndinga ya nene kubika.
Mbandu: Kusala ba instruction ya sistemu bonso 'Mvutu bonso muntu ya mayele' kele mbandu ya prompt engineering.
Quantisation (Quantisation)
Quantisation
Tekiniki ya compression ya modela yina ke bikaka ntalu ya ba bits ya kusadila sambu na kusala ba poids mpe ba activation, na kuyidika efficacite.
Mbandu: Quantising modela katuka 32-bit ti 8-bit ke yidikaka performance na ba appareil ya mobile.
Quantum Computing (Quantum Computing)
Quantum Computing
Mutindu ya mpa ya informatique ya kusadila na ba mecanique ya quantum, yina kele na mfunu ya ba capacite ya traitement ya exponential.
Mbandu: Quantum computing lenda yidika kulonguka ya AI na nima ya ba limite ya classique.
Reasoning Engine (Reasoning Engine)
Reasoning Engine
Sistemu na AI yina ke bakaka ba conclusion ya logique katuka ba fait to ba data na kusadila banzila to ba algorithme ya inference.
Mbandu: AI diagnosis tool ke sadilaka reasoning engine sambu na kubaka ba condition ya minganga ya lenda vanda na kutadila ba symptome.
Reinforcement Learning (RL) (Reinforcement Learning (RL))
Reinforcement Learning (RL)
Kisika ya kulonguka ya masini yina ba agent ke longukaka na kusolula na environnement na yau sambu na kuyidika ba recompense ya cumulative.
Mbandu: Robot ya kulonguka kutambula na kusadila ba tekiniki ya RL.
Reinforcement Learning with Human Feedback (RLHF) (Reinforcement Learning with Human Feedback (RLHF))
Reinforcement Learning with Human Feedback (RLHF)
Mutindu ya kulonguka yina ba preference ya bantu ke songaka signal ya recompense ya AI, mbala mingi ya kusadila na fine-tuning ya ba modela ya ndinga.
Mbandu: ChatGPT kulongukaka na RLHF sambu na kuyidika ba mvutu ya lusadisu mpe ya sekurite.
Retrieval-Augmented Generation (RAG) (Retrieval-Augmented Generation (RAG))
Retrieval-Augmented Generation (RAG)
Mutindu ya kukotakana information retrieval na generation, yina LLM ke bakaka ba document ya mfunu sambu na kuyidika mvutu na yau.
Mbandu: Assistant ya AI ke bakaka mpe ke songaka ba spec ya produit na ntangu ya kuyidika mvutu na ntu-dyambu ya tekiniki.
Self-Supervised Learning (Self-Supervised Learning)
Self-Supervised Learning
Nsamu ya kulonguka yina modela ke longukaka ba forme na kuyidika ba labels na yau mosi katuka ba data ya raw, na kubika ve reliance na ba data ya human-annotated.
Mbandu: BERT kulongukaka na self-supervised learning na kusala prediction ya ba ndinga ya kubika na texte.
Semantic Search (Semantic Search)
Semantic Search
Tekiniki ya kusosa yina ke bakisaka lukanu ya muntu mpe mfunu ya context, na mpamba ve na keyword matching.
Mbandu: Kusosa 'mutindu ya kusala robinet ya kele na mpasi' ke pesaka ba guide ata kana ndinga 'robinet ya kele na mpasi' kele ve na document.
Sentiment Analysis (Sentiment Analysis)
Sentiment Analysis
Nsamu ya kubakisa ba emotion, ba opinion, to ba attitude na texte, mbala mingi ya kukabula bonso positive, negative, to neutral.
Mbandu: Kusala analyse ya ba tweet sambu na kubaka reaction ya bantu na produit ya mpa.
Stochastic (Stochastic)
Stochastic
Kusala ya mpamba to ya probabilistique, mbala mingi ya kusadila na generative AI mpe ba algorithme ya optimisation.
Mbandu: Output ya GPT-4 ke sobaka sambu na input mosi na kutadila processus na yau ya stochastic decoding.
Strong AI (Strong AI)
Strong AI
Yina kele mpe Artificial General Intelligence (AGI), ke tadilaka ba masini ya kele na mayele ya muntu na bisika yonso.
Mbandu: AI ya nima yina lenda sonika ba roman na mpamba, kusala ba mbanza, mpe kusala ba dilemme ya etike na mpamba.
Super Artificial Intelligence (SAI) (Super Artificial Intelligence (SAI))
Super Artificial Intelligence (SAI)
AI ya teoretike yina ke lutaka mayele ya muntu na bisika yonso — kubanza, creativity, mayele ya emotion, etc.
Mbandu: SAI lenda kuyidika ba science ya mpa mpe ba filozofi na mpamba.
Supervised Learning (Supervised Learning)
Supervised Learning
Tekiniki ya kulonguka ya masini yina ba modela ke longukaka na ba data ya labelled sambu na kulonguka ba input-output mappings.
Mbandu: Kulonguka modela sambu na kukabula ba email bonso spam to ve na kusadila ba mbandu ya ntama.
Synthetic Data (Synthetic Data)
Synthetic Data
Ba data ya kuyidika na mpamba yina ke salaka simulation ya ba data ya kieleka, mbala mingi ya kusadila sambu na kulonguka kana ba data ya kieleka kele fioti to ya kinsweki.
Mbandu: Kuyidika ba images ya minganga ya synthetic sambu na kulonguka ba modela ya diagnostic na mpamba ve na kubika ve kinsweki ya bantu.
Token (Token)
Token
Unite ya texte ya kusala na LLMs — mbala mingi ndinga to ndinga ya fioti.
Mbandu: Phrase 'Hello world!' kele na 3 ya ba token: 'Hello', 'world', mpe '!'.
Tokenisation (Tokenisation)
Tokenisation
Nsamu ya kubika texte na ba token sambu na kusala na modela.
Mbandu: Na NLP, 'ChatGPT kele ya mbote' kele ['Chat', 'G', 'PT', 'kele', 'ya mbote'].
Transfer Learning (Transfer Learning)
Transfer Learning
Kusadila mayele katuka kisalu mosi sambu na kuyidika kulonguka na kisalu ya nkaka ya kukotakana, na kubika ve ntangu ya kulonguka mpe mfunu ya data.
Mbandu: Fine-tuning modela ya kulonguka na texte ya Anglais sambu na kusala sentiment analysis na ndinga ya nkaka.
Transformer (Transformer)
Transformer
Architecture ya reseau ya neurone yina ke sadilaka ba mecanisme ya attention sambu na kusala ba data ya sequential, ya kusadila mingi na LLMs.
Mbandu: BERT, GPT, mpe T5 kele ba modela ya transformer-based.
Underfitting (Underfitting)
Underfitting
Kana modela kele ya mpamba mingi sambu na kubakisa ba forme na ba data ya kulonguka, na kusala nde performance kubika mbi.
Mbandu: Modela ya linear yina ke zolaka kusala prediction ya ba classification ya image ya mpasi lenda underfit.
Unsupervised Learning (Unsupervised Learning)
Unsupervised Learning
Nsamu ya kulonguka yina ba modela ke bakisaka ba forme to ba cluster na ba data ya unlabelled.
Mbandu: Kukabula bantu na kutadila bikalulu ya kusumba na mpamba ve na ba labels ya pre-defined.
User Intent (User Intent)
User Intent
Lukanu to lukanu na nima ya query to interaction ya muntu.
Mbandu: Muntu ya kusonika 'mutindu ya kusala gateau' lenda zola kubakisa recette.
Validation Set (Validation Set)
Validation Set
Subset ya data ya kusadila sambu na kusala evaluation ya performance ya modela na ntangu ya kulonguka mpe kusala tune ya ba hyperparameter.
Mbandu: Kusadila sambu na kubakisa overfitting na ntwala ya test ya nsuka.
Vector Database (Vector Database)
Vector Database
Database ya kuyidika sambu na kusala mpe kusosa ba vector embedding ya kusadila na ba kisalu ya AI bonso similarity search mpe RAG.
Mbandu: Pinecone mpe Weaviate kele ba vector database sambu na kusala ba text to image embedding.
Vector Embedding (Vector Embedding)
Vector Embedding
Kuyidika ya numeric ya data yina ke bikaka mfunu ya semantic mpe ba relation na kisika ya vector.
Mbandu: Ba ndinga 'roi' mpe 'reine' kele na ba embedding ya kifwani na ba difference ya fioti ya genre.
Virtual Assistant (Virtual Assistant)
Virtual Assistant
Agent ya software ya AI yina ke sadisaka bantu na kusala bisalu na kusadila conversation to ba commande ya ndinga.
Mbandu: Siri, Alexa, mpe Google Assistant kele ba virtual assistant ya bantu mingi.
Voice Recognition (Voice Recognition)
Voice Recognition
Tekiniki yina ke bakisaka mpe ke sobaka ndinga ya kusolula na texte to na kisalu.
Mbandu: Voice typing mpe voice commands kele na lusadisu ya ba sistemu ya voice recognition.
Weak AI (Weak AI)
Weak AI
Ba sistemu ya AI ya kuyidika sambu na kusala kisalu ya fioti, ya sikisiki na mpamba ve na mayele ya nene.
Mbandu: AI ya kusala chess yina lenda bakisa ve ndinga to kutambula motuka kele mbandu ya weak AI.
Web Scraping (Web Scraping)
Web Scraping
Extraction ya mpamba ya information katuka ba site ya web, mbala mingi ya kusadila sambu na kukabula ba data ya kulonguka to kusala monitoring ya contenu.
Mbandu: Scraping ya ba listing ya real estate sambu na kulonguka modela ya valuation ya propriete.
Weight (Weight)
Weight
Parametre na ba reseau ya neurone yina ke songaka ntalu ya influence ya node mosi na nkaka.
Mbandu: Ba poids ke sobaka na ntangu ya kulonguka sambu na kubika ve erreur ya modela.
Whisper (Whisper)
Whisper
Modela ya speech-to-text ya kuyidika na OpenAI yina lenda sala transcription ya audio na ba ndinga mingi.
Mbandu: Whisper lenda sala transcription ya ba lecture mpe ba podcast na accuracy ya nene.
YAML (YAML)
YAML
Mutindu ya human-readable sambu na data serialisation, ya kusadila mingi sambu na ba fichier ya configuration na ba workflow ya kulonguka ya masini.
Mbandu: Kusala definition ya ba parametre ya modela na fichier ya YAML sambu na kulonguka na PyTorch.
Zero-shot Learning (Zero-shot Learning)
Zero-shot Learning
Mayele ya modela ya kusala bisalu yina yau kulongukaka ve na mpamba na kusadila mayele ya nene.
Mbandu: Modela ya kubaka mvutu ya ba ntu-dyambu ya nsiku ata kana yau kulongukaka ve na ba data ya nsiku.
Zettabyte (Zettabyte)
Zettabyte
Unite ya data ya digital ya kifwani na sextillion mosi (10^21) ya ba byte, mbala mingi ya kusadila sambu na kusala description ya ntalu ya data ya internet.
Mbandu: Trafic ya internet ya nene lutaka 1 zettabyte na mvula na 2016.
