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홈AI 용어집Language Models and Natural Language Processing챗봇이란 무엇인가

AI 용어집

0-9
1-shot learning2-stage detector3D convolution3D Reconstruction4D data5G + AI6DoF pose estimation7D representation8-bit quantization9-layer network0-shot learning
A
AlgorithmAutoencoderArtificial Intelligence (AI)AttentionA/B TestingAccountabilityAccuracyAcoustic ModelingActivation FunctionsActive LearningActor-Critic MethodsActuatorsAdaDeltaAdaGradAdam OptimizerAdjusted R-SquaredAdversarial AttacksAffordance LearningAgent-Based ModelingAgentic AI / Autonomous AgentsAgentic AI FrameworksAgglomerative ClusteringAGI / Artificial General IntelligenceAI 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 Models
B
Batch NormalizationBoostingBackpropagationBiasBag-of-Words ModelBaggingBatch SizeBayesian InferenceBayesian NetworksBayesian OptimizationBERTBias in AIBias-Variance TradeoffBig DataBig Data TechnologiesBiometric SecurityBLEU ScoreBlockchain in AIBox PlotByte-Pair Encoding (BPE)
C
Classifier / ClassificationChatbotCross-ValidationClusteringCaffeCalculusCalibrationCalifornia Consumer Privacy Act (CCPA)Canary DeploymentCapsule NetworksCarbon Footprint of AICase-Based ReasoningCatastrophic ForgettingCentral Limit TheoremChain-of-ThoughtChinese Room ArgumentClass ImbalanceClassificationCloud AI PlatformsCloud ComputingClustering AlgorithmsCNN / Convolutional Neural NetworkCode 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 Regulations
D
Deterministic ModelData AugmentationDeep LearningDiscriminative ModelDALL·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 LearningDeepfakeDeepfakesDeepMindDemis 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 Systems
E
Explainable AI (XAI)Ensemble LearningEncoderEmbeddingEarly StoppingEdge AIEdge ComputingEdge DetectionEigenvalues and EigenvectorsElon MuskEmbedding SizeEmbeddingsEmbodied AIEmergent AbilitiesEmotion RecognitionEnsemble MethodsEpisodic MemoryEpochEthical AIEthical AI GuidelinesEthical AuditingEthical Decision-MakingEthical DilemmasEthical FrameworksEthics of AIETL ProcessesEvolutionary AlgorithmsExistential RiskExpectation-MaximizationExpectation-Maximization AlgorithmExpected Calibration ErrorExpert SystemsExplainabilityExploration vs. ExploitationExploratory Data AnalysisExport Controls
F
Foundation ModelFine-tuningForward PropagationFeature ExtractionFusion / Multimodal FusionF1 ScoreFacial RecognitionFairnessFastAIFeature EngineeringFeature ImportanceFeature SelectionFeature StoreFeature StoresFederated LearningFei-Fei LiFew-Shot LearningFinite Element AnalysisFirst-Order LogicFlow MatchingForce ControlFoundation Model EconomyFoundation ModelsFourier TransformFPGAsFrame LanguagesFunctional Analysis
G
Gradient DescentGraph Neural Network (GNN)Generative AIGame Playing AIGame TheoryGame Theory SimulationsGAN / Generative Adversarial NetworkGated 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 SearchGrounding
H
Hierarchical ModelHidden LayerHyperparameterHallucinationHeuristicHadoopHeatmapHelpHeuristic AlgorithmsHidden Markov ModelsHierarchical Reinforcement LearningHigh-Performance ComputingHIPAAHistogramHOGHPC ClustersHugging FaceHugging Face TransformersHuman RightsHuman-in-the-LoopHuman-Robot InteractionHyperparameter OptimizationHyperparameter Tuning
I
Imbalanced DataInstance / SampleIntelligence Amplification / AugmentationInterpretabilityIlya SutskeverImage CaptioningImage ClassificationImage RecognitionImage SegmentationImpact on EmploymentIn-Context LearningIndustrial RobotsInferenceInference EnginesInference OptimizationInferential StatisticsInformation TheoryInformed ConsentInfrastructure as CodeInstance SegmentationInstruction tuningIntellectual Property RightsIntelligent AgentsIntrusion Detection SystemsInverse Reinforcement Learning
J
JuxtapositionJoint EmbeddingJitteringJAXJohn McCarthyJoint Probability DistributionJSONL / JSON-linesJuergen SchmidhuberJupyter Notebooks
K
Knowledge DistillationKernel TrickK-means ClusteringK-Nearest NeighborsK-Shot LearningKai-Fu LeeKalman FiltersKerasKL Divergence (Kullback–Leibler Divergence)Knowledge CutoffKnowledge GraphsKnowledge RepresentationKubernetes
L
Large Language Model (LLM)Loss FunctionLatent VariableLearning RateL1 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)LSTM / Long Short-Term Memory
M
Machine Learning (ML)Multimodal / MultimodalityMulti-head AttentionMeta-learningModelMachine 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 RetrievalMXNet
N
Novelty Detection / Anomaly DetectionNeural NetworkNormalizationn-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 BostromNLP / Natural Language ProcessingNLTKNLU / Natural Language UnderstandingNoise ReductionNoSQL DatabasesNumPyNVIDIA CUDA
O
Objective FunctionOverfittingOnline LearningOptimizerObject DetectionObject TrackingOne-hot EncodingOntologiesOpenAIOpenAI GPTOptical Character RecognitionOptimization TheoryOut-of-Distribution (OOD) Data
P
ParameterPolicy / Reinforcement Learning PolicyPromptPretrainingPandasParallel ComputingParameter CountParameter-Efficient Fine-Tuning (PEFT)Part-of-Speech TaggingPartial Dependence PlotsPath PlanningPattern RecognitionPeople also viewedPerception in AIPerceptronPerplexityPeter NorvigPhilosophy of MindPhoneticsPipelinesPlanning and SchedulingPlotlyPolicy GradientsPolicy OptimizationPoolingPose 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
QuantizationQueryQueue / BufferQuality EstimationQ-learningQLoRA (Quantized Low-Rank Adaptation)Quantum ComputingQuantum Machine LearningQuestion AnsweringQuestion Answering Systems
R
Reinforcement Learning (RL)Retrieval Augmented Generation (RAG)RegularizationRepresentation LearningR-SquaredRandom ForestsRandom SearchRay KurzweilReal AnalysisReasoning EnginesRecallRecommender SystemsRecurrent Neural NetworksRed TeamingRegressionRegression AnalysisRegulatory ComplianceReinforcement Learning from Human FeedbackReinforcement Learning in RoboticsReproducibilityResponsible AIRetrieval-Augmented GenerationReward FunctionRMSpropRNN / Recurrent Neural NetworkRobot KinematicsRobot VisionRobotic ManipulationRobotic Operating System (ROS)Robotics TransformersRobustness in AI ModelsROC CurveRodney BrooksRoot Mean Squared ErrorRule-Based Systems
S
Supervised LearningSamplingSequence ModelingSelf-Supervised LearningSaliency 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 SimulationSoftmaxSOTA (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
Transfer LearningTokenizerTuning / Hyperparameter TuningTransformerTraining Datat-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
Uncertainty EstimationUnsupervised LearningUnderfittingUniversal Approximation TheoremU-NetUMAPUnmanned Aerial Vehicles (UAVs)Unmanned Ground Vehicles
V
Validation SetVector EmbeddingVariational Autoencoder (VAE)Vanishing / Exploding GradientValidation CurveValue FunctionVector DatabaseVersion Control for ModelsVibe code an AI ToolVideo Generation ModelsVirtual Reality SimulationsVision Transformer (ViT)Voice BiometricsVoice CloningVoice Conversion
W
Whitening / Whitening TransformationWeak SupervisionWord EmbeddingWorkflowWarmup StepsWeak AIWeight DecayWord EmbeddingsWord Sense DisambiguationWordPieceWorld Models
X
X-axis / feature axisXAI / Explainable AIXLMXLNetXOR problem
Y
Yield (model yield / throughput)Yoga of AIY-transform / YUVY-axis / feature axisYAGNI (You Aren't Gonna Need It)Yann LeCunYoshua Bengio
Z
Zero-gradient phenomenonZero-centric / Zero-bias initializationZero-shot Learning / Zero-shot inferenceZygosity in augmentationZ-score NormalizationZero Trust Architecture

챗봇이란 무엇인가

Language Models and Natural Language Processing
[wˌʌt ɪz tʃˈætbɑːt]
마지막 업데이트: 2025년 10월 15일

챗봇은 인공지능(AI) 기술을 사용하여 사용자와 대화하는 소프트웨어 프로그램입니다. 그 주요 목적은 인간의 대화 행동을 모방하여 정보를 제공하고, 질문에 답하며, 작업을 수행하는 것입니다. 자연어 처리(NLP) 및 기계 학습 기술의 빠른 발전에 따라 챗봇의 응용 범위도 계속 확장되고 있습니다.


챗봇은 고객 서비스, 판매, 교육 및 엔터테인먼트 분야에서 중요한 역할을 합니다. 이들은 24시간 서비스를 제공하며, 기업의 운영 효율성을 크게 높이고, 인건비를 줄이며, 사용자 경험을 향상시킵니다.


챗봇은 일반적으로 특정 알고리즘과 데이터 세트에 대해 훈련되어 사용자 의도를 이해하고 적절한 응답을 생성합니다. 이들은 미리 정의된 답변을 사용하는 규칙 기반 시스템일 수도 있고, 학습을 통해 응답 능력을 지속적으로 개선할 수 있는 AI 기반 시스템일 수도 있습니다.


많은 기업들이 웹사이트와 소셜 미디어 플랫폼에 챗봇을 배포했습니다. 예를 들어, 많은 전자 상거래 사이트가 고객이 주문 상태와 제품 정보를 확인하는 데 도움을 주기 위해 챗봇을 사용합니다. Facebook Messenger와 같은 소셜 미디어 플랫폼도 사용자가 챗봇과 상호 작용하도록 허용합니다.


미래에는 챗봇의 지능 수준이 계속 높아질 것입니다. 더 발전된 신경망 및 심층 학습 기술과 결합하여 챗봇은 더 복잡한 대화를 이해하고 보다 개인화된 서비스를 제공할 수 있게 될 것입니다. 또한, 챗봇의 음성 비서 응용도 점점 더 보편화될 것입니다.


챗봇은 효율성 증가, 비용 절감, 24시간 서비스 제공과 같은 장점을 제공하지만, 복잡한 문제를 이해하는 능력이 제한되어 있어 사용자 경험이 저하될 수 있습니다. 기업은 챗봇을 배포할 때 이러한 요소들을 균형 있게 고려하고 필요할 경우 인력 고객 지원을 보장해야 합니다.


챗봇을 설계하고 구현할 때 기업은 사용자 개인 정보 및 데이터 보안 문제에 주의를 기울여야 하며, 관련 법률 및 규정을 준수해야 합니다. 또한, 챗봇의 성능을 지속적으로 모니터링하고 최적화하는 것이 사용자 경험을 향상시키는 데 매우 중요합니다.

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