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InícioAI GlossárioNatural Language ProcessingO que é Tokenizer

AI Glossário

0-9
3D Reconstruction1-shot learning5G + AI7D representation0-shot learning3D convolution4D data2-stage detector6DoF pose estimation8-bit quantization9-layer network
A
A/B TestingAccountabilityAccuracyAcoustic ModelingActivation FunctionsActive LearningActor-Critic MethodsActuatorsAdaDeltaAdaGradAdam OptimizerAdjusted R-SquaredAdversarial AttacksAffordance LearningAgent-Based ModelingAgentic AI / Autonomous AgentsAgentic AI FrameworksAgglomerative ClusteringAI AcceleratorsAI Act (EU)AI AgentsAI AlignmentAI and BiasAI and SustainabilityAI APIsAI Art GenerationAI AssistantsAI AuditAI AuditingAI Bill of Rights (US Blueprint)AI ContainmentAI DemocratizationAI Ethics BoardsAI Ethics GuidelinesAI Feature StoreAI for Climate ChangeAI Generated ContentAI Governance FrameworksAI GuardrailsAI HallucinationsAI in Healthcare EthicsAI in WarfareAI LegislationAI LiteracyAI MarketplacesAI Model GovernanceAI Model HubAI Model RegistryAI Model WeightsAI Music GenerationAI OrchestrationAI PolicyAI RegulationsAI SafetyAI SecurityAI SingularityAI Transparency ReportAI WatermarkingAI WinterAI Workflow AutomationAI-as-a-ServiceAlan TuringAlgorithmic AccountabilityAlgorithmic Bias MitigationAlgorithmic DiscriminationAlgorithmic TransparencyAndrew NgAnomaly DetectionAnomaly Detection in SecurityAnthropicApache KafkaAPI DevelopmentAPI EndpointsApriori AlgorithmArtificial General Intelligence (AGI)Artificial Neural NetworksArtificial SuperintelligenceASICsAssociation Rule LearningAsynchronous Advantage Actor-CriticAttention MechanismsAUCAudio ClassificationAudio Signal ProcessingAugmented RealityAuthenticationAuthorizationAutoencodersAutomated ReasoningAutomatic Speech Recognition (ASR)AutomationAutoMLAutonomous NavigationAutoregressive ModelsAGI / Artificial General IntelligenceAlgorithmAttentionAutoencoderArtificial Intelligence (AI)
B
Bag-of-Words ModelBaggingBatch SizeBayesian InferenceBayesian NetworksBayesian OptimizationBias in AIBias-Variance TradeoffBig DataBig Data TechnologiesBiometric SecurityBLEU ScoreBlockchain in AIBox PlotByte-Pair Encoding (BPE)BackpropagationBERTBiasBoostingBatch Normalization
C
CaffeCalculusCalibrationCalifornia Consumer Privacy Act (CCPA)Canary DeploymentCapsule NetworksCarbon Footprint of AICase-Based ReasoningCatastrophic ForgettingCentral Limit TheoremChain-of-ThoughtChinese Room ArgumentClass ImbalanceClassificationCloud AI PlatformsCloud ComputingClustering AlgorithmsCode Generation ModelsCognitive ArchitecturesCognitive ComputingCohereColab NotebooksCollaborative FilteringColor SpacesComplex AnalysisComplianceCompliance Standards (ISO IEEE)Computational ComplexityComputational Fluid DynamicsComputational Theory of MindCompute-Optimal ModelsConcept DriftConceptual GraphsConditional ProbabilityConfusion MatrixConsciousness in AIConsistency ModelsConstitutional AIConstraint Satisfaction ProblemsContainerizationContent-Based FilteringContext WindowContinual LearningContinuous Integration/Continuous Deployment (CI/CD)Control SystemsConversational AIConvolutional Neural NetworksCOPPACoreference ResolutionCorrelationCorrelation MatrixCost-Sensitive LearningCross-Entropy LossCurriculum LearningCyber Threat IntelligenceCybersecurity RegulationsChatbotClassifier / ClassificationClusteringCNN / Convolutional Neural NetworkCross-Validation
D
DALL·EData AnnotationData CatalogData CentersData CleaningData DriftData GovernanceData IngestionData IntegrationData LabelingData LakeData LakesData LeakageData LineageData MiningData PipelineData PoisoningData PreprocessingData PrivacyData ProtectionData Protection LawsData QualityData SecurityData SovereigntyData TransformationData VersioningData VisualizationData Visualization TechniquesData WarehousingDatabases for AIDavies-Bouldin IndexDBSCANDecision Boundary VisualizationDecision TreesDeep Belief NetworksDeep Q-NetworksDeep Reinforcement LearningDeepfakesDeepMindDemis HassabisDependency ParsingDepth EstimationDescriptive StatisticsDialogue SystemsDifferential EquationsDifferential EvolutionDifferential PrivacyDiffusion ModelsDigital DivideDigital ProvenanceDigital TwinsDimensionality ReductionDirect Preference Optimization (DPO)Discourse AnalysisDiscrete Event SimulationDiscrete MathematicsDisinformationDistributed ComputingDistributed File SystemsDistributed TrainingDockerDronesDropoutDropout RegularizationDynamical SystemsData AugmentationDeep LearningDeepfakeDeterministic ModelDiscriminative Model
E
Early StoppingEdge AIEdge ComputingEdge DetectionEigenvalues and EigenvectorsElon MuskEmbedding SizeEmbeddingsEmbodied AIEmergent AbilitiesEmotion RecognitionEnsemble MethodsEpisodic MemoryEthical AIEthical AI GuidelinesEthical AuditingEthical Decision-MakingEthical DilemmasEthical FrameworksEthics of AIETL ProcessesEvolutionary AlgorithmsExistential RiskExpectation-MaximizationExpectation-Maximization AlgorithmExpected Calibration ErrorExpert SystemsExplainabilityExploration vs. ExploitationExploratory Data AnalysisExport ControlsEnsemble LearningEmbeddingEncoderEpochExplainable AI (XAI)
F
F1 ScoreFacial RecognitionFairnessFastAIFeature EngineeringFeature ImportanceFeature SelectionFeature StoreFeature StoresFederated LearningFei-Fei LiFew-Shot LearningFinite Element AnalysisFirst-Order LogicFlow MatchingForce ControlFoundation Model EconomyFoundation ModelsFourier TransformFPGAsFrame LanguagesFunctional AnalysisFeature ExtractionFine-tuningFusion / Multimodal FusionFoundation ModelForward Propagation
G
Game Playing AIGame TheoryGame Theory SimulationsGated Recurrent UnitsGaussian Mixture ModelsGeneral Data Protection Regulation (GDPR)Generative Adversarial NetworksGenerative ModelsGenetic AlgorithmsGensimGeoffrey HintonGlobal CooperationGPT ModelsGrad-CAMGradient Boosting MachinesGradient ClippingGraph Neural NetworksGraph TheoryGraphics Processing Units (GPUs)Grid SearchGradient DescentGAN / Generative Adversarial NetworkGroundingGenerative AIGraph Neural Network (GNN)
H
HadoopHeatmapHelpHeuristic AlgorithmsHidden Markov ModelsHierarchical Reinforcement LearningHigh-Performance ComputingHIPAAHistogramHOGHPC ClustersHugging FaceHugging Face TransformersHuman RightsHuman-in-the-LoopHuman-Robot InteractionHyperparameter OptimizationHyperparameter TuningHidden LayerHallucinationHeuristicHyperparameterHierarchical Model
I
Ilya SutskeverImage CaptioningImage ClassificationImage RecognitionImage SegmentationImpact on EmploymentIn-Context LearningIndustrial RobotsInferenceInference EnginesInference OptimizationInferential StatisticsInformation TheoryInformed ConsentInfrastructure as CodeInstance SegmentationIntellectual Property RightsIntelligent AgentsIntrusion Detection SystemsInverse Reinforcement LearningIntelligence Amplification / AugmentationImbalanced DataInstance / SampleInstruction tuningInterpretability
J
John McCarthyJoint Probability DistributionJuergen SchmidhuberJupyter NotebooksJAXJitteringJoint EmbeddingJSONL / JSON-linesJuxtaposition
K
K-Nearest NeighborsKai-Fu LeeKalman FiltersKerasKnowledge CutoffKnowledge GraphsKnowledge RepresentationKubernetesKnowledge DistillationKL Divergence (Kullback–Leibler Divergence)K-means ClusteringK-Shot LearningKernel Trick
L
L1 RegularizationL2 RegularizationLabel SmoothingLanguage ModelingLanguage ModelsLaplace TransformLarge Language Models (LLMs)Large Multimodal ModelsLatent Dirichlet AllocationLatent SpaceLaw of Large NumbersLayer NormalizationLearning CurveLearning Rate DecayLearning Rate SchedulingLemmatizationLIMELinear AlgebraLinear RegressionLog LossLogic ProgrammingLogistic RegressionLong Short-Term Memory NetworksLong-Context ModelsLoRA (Low-Rank Adaptation)Loss FunctionLSTM / Long Short-Term MemoryLearning RateLarge Language Model (LLM)Latent Variable
M
Machine ConsciousnessMachine TranslationMarkov Chain ModelsMarkov Chain Monte CarloMarkov Decision ProcessesMarkov ModelsMarvin MinskyMasked Language ModelsMaster Data ManagementMatplotlibMatrix DecompositionMCPMean Absolute ErrorMean Squared ErrorMechanistic InterpretabilityMel-Frequency Cepstral Coefficients (MFCCs)Metadata ManagementMicroservicesMidjourneyMind UploadingMini ToolMini-Batch Gradient DescentMixture of Experts (MoE)MLOpsMobile RobotsModel CardsModel CompressionModel DeploymentModel DriftModel Explainability ToolsModel MonitoringModel ServingModel StealingMomentum OptimizationMonitoring and LoggingMonte Carlo MethodsMonte Carlo SimulationsMoral MachinesMotion DetectionMotion PlanningMulti-Armed Bandit ProblemMultimodal AIMusic Information RetrievalMXNetMachine Learning (ML)Meta-learningModelMulti-head AttentionMultimodal / Multimodality
N
n-GramsNaive Bayes AlgorithmNaive Bayes ClassifierNamed Entity RecognitionNatural Language Generation (NLG)Natural Language ProcessingNatural Language Processing (NLP)Natural Language UnderstandingNesterov Accelerated GradientNetwork SimulationsNeural Architecture SearchNeural NetworksNeural Processing Unit (NPU)Neuromorphic ComputingNick BostromNLTKNoise ReductionNoSQL DatabasesNumPyNVIDIA CUDANovelty Detection / Anomaly DetectionNLP / Natural Language ProcessingNLU / Natural Language UnderstandingNormalizationNeural Network
O
Online LearningObjective FunctionOne-hot EncodingOptimizerOverfittingObject DetectionObject TrackingOntologiesOpenAIOpenAI GPTOptical Character RecognitionOptimization TheoryOut-of-Distribution (OOD) Data
P
ParameterPolicy / Reinforcement Learning PolicyPoolingPretrainingPromptPandasParallel ComputingParameter CountParameter-Efficient Fine-Tuning (PEFT)Part-of-Speech TaggingPartial Dependence PlotsPath PlanningPattern RecognitionPeople also viewedPerception in AIPerceptronPerplexityPeter NorvigPhilosophy of MindPhoneticsPipelinesPlanning and SchedulingPlotlyPolicy GradientsPolicy OptimizationPose EstimationPositional EncodingPragmaticsPrecisionPredictive ModelingPredictive ProbabilityPreference TuningPrincipal Component AnalysisPrivacyPrivacy-Preserving Machine LearningProbability Density FunctionsProbability TheoryProblem SolvingProcess ModelingProcess-Based SupervisionPrompt ChainingPrompt EngineeringPrompt InjectionPrompt MarketplacePrompt TemplatesPropositional LogicProximal Policy OptimizationPruningPyTorch
Q
Quality EstimationQueue / BufferQ-learningQuantizationQueryQLoRA (Quantized Low-Rank Adaptation)Quantum ComputingQuantum Machine LearningQuestion AnsweringQuestion Answering Systems
R
Representation LearningReinforcement Learning (RL)Retrieval Augmented Generation (RAG)RegularizationRNN / Recurrent Neural NetworkR-SquaredRandom ForestsRandom SearchRay KurzweilReal AnalysisReasoning EnginesRecallRecommender SystemsRecurrent Neural NetworksRed TeamingRegressionRegression AnalysisRegulatory ComplianceReinforcement Learning from Human FeedbackReinforcement Learning in RoboticsReproducibilityResponsible AIRetrieval-Augmented GenerationReward FunctionRMSpropRobot KinematicsRobot VisionRobotic ManipulationRobotic Operating System (ROS)Robotics TransformersRobustness in AI ModelsROC CurveRodney BrooksRoot Mean Squared ErrorRule-Based Systems
S
SamplingSelf-Supervised LearningSupervised LearningSequence ModelingSoftmaxSaliency MapsSARSA AlgorithmScalable OversightScaling LawsScatter PlotScikit-LearnSciPySeabornSearch AlgorithmsSecure HardwareSecure Multi-Party ComputationSecure ProtocolsSelf-AttentionSelf-Driving CarsSemantic NetworksSemantic ParsingSemantic Role LabelingSemantic SegmentationSemantic WebSemi-Supervised LearningSensorsSentencePieceSentiment AnalysisSequence LabelingServerless ComputingServerless GPUsSet TheorySHAP ValuesSiamese NetworksSIFTSilhouette ScoreSimulated AnnealingSimulation HypothesisSimulation-to-Real Transfer (Sim2Real)Simultaneous Localization and Mapping (SLAM)SMOTESocial Acceptance of AISocial SimulationSOTA (State of the Art)spaCySparkSpeaker DiarizationSpectrogram AnalysisSpeech EnhancementSpeech RecognitionSpeech SynthesisSpiking Neural NetworksSQLStable DiffusionStackingState-Action PairsStatistical AnalysisStatistical DistributionsStatisticsStemmingStochastic Gradient DescentStochastic ModelingStochastic ProcessesStop WordsStream ProcessingStrong AIStrong vs. Weak AIStuart RussellStyle TransferSubword TokenizationSupport Vector MachinesSURFSurveillanceSwarm IntelligenceSymbolic AISynthetic Data GenerationSynthetic MediaSystem DynamicsSystem Prompt
T
Training DataTokenizerTransfer LearningTransformerTuning / Hyperparameter Tuningt-SNETeacher ForcingTechnological SingularityTeleoperationTemperatureTemporal Difference LearningTensor Processing Units (TPUs)TensorFlowTesting and ValidationText SummarizationText-to-Audio GenerationText-to-Image GenerationText-to-Speech (TTS)Text-to-Video GenerationTF-IDFTheanoTime Series AnalysisTimnit GebruTinyMLToken LimitTokenizationTokensTool Use (LLMs)Topic ModelingTopologyTransformer ModelsTransformer NetworksTransparencyTransparency RequirementsTrust Region Policy OptimizationTrustworthy AITruthfulness (in LLMs)Turing Test
U
Unsupervised LearningUncertainty EstimationUniversal Approximation TheoremU-NetUnderfittingUMAPUnmanned Aerial Vehicles (UAVs)Unmanned Ground Vehicles
V
Vector EmbeddingVanishing / Exploding GradientValidation SetVariational Autoencoder (VAE)Vision Transformer (ViT)Validation CurveValue FunctionVector DatabaseVersion Control for ModelsVibe code an AI ToolVideo Generation ModelsVirtual Reality SimulationsVoice BiometricsVoice CloningVoice Conversion
W
Weak SupervisionWeight DecayWhitening / Whitening TransformationWord EmbeddingWorkflowWarmup StepsWeak AIWord EmbeddingsWord Sense DisambiguationWordPieceWorld Models
X
X-axis / feature axisXOR problemXAI / Explainable AIXLMXLNet
Y
Y-axis / feature axisY-transform / YUVYAGNI (You Aren't Gonna Need It)Yield (model yield / throughput)Yoga of AIYann LeCunYoshua Bengio
Z
Zero-shot Learning / Zero-shot inferenceZero-centric / Zero-bias initializationZ-score NormalizationZero-gradient phenomenonZygosity in augmentationZero Trust Architecture

O que é Tokenizer

Natural Language Processing
[wˌʌt ɪz tˈoʊkənˌaɪzɚ]
Última atualização: 15 de outubro de 2025
Tokenizer - AI and technology concept illustration
© 2025 / unsplash.com

Um tokenizer é um componente crucial no processamento de linguagem natural (NLP) e na análise de linguagens de programação. Ele é responsável por dividir o texto de entrada em unidades menores, tipicamente palavras, subpalavras ou símbolos, para processamento posterior.


A tokenização serve como o primeiro passo na manipulação de texto, estabelecendo a base para vários algoritmos e modelos, particularmente em contextos de aprendizado de máquina e aprendizado profundo. Diferentes idiomas e aplicativos requerem diferentes tipos de tokenizers; por exemplo, tokenizers baseados em espaço funcionam bem para o inglês, enquanto tokenizers baseados em caracteres são mais eficazes para o chinês.


A importância da tokenização reside em sua capacidade de fornecer informações estruturadas para análise e processamento de dados de texto. Ao decompor texto em tokens, os algoritmos podem identificar padrões, extrair características e gerar previsões de forma mais fácil. Portanto, selecionar o tokenizer apropriado é crucial para garantir o desempenho do modelo.


À medida que a inteligência artificial e o aprendizado de máquina continuam a evoluir, os métodos de tokenização também estão avançando. Muitos modelos modernos utilizam técnicas de tokenização baseadas em subpalavras, como Byte Pair Encoding (BPE) ou WordPiece, que podem lidar efetivamente com palavras raras e novos termos, melhorando a capacidade de generalização do modelo.

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