Glossary
Packages
AblationActive Learning (Machine Learning)Adversarial Machine LearningAffective AIAI AgentsAI and EducationAI and FinanceAI and MedicineAI AssistantsAI EthicsAI Generated MusicAI HallucinationsAI HardwareAI in Customer ServiceAI Recommendation AlgorithmsAI Video GenerationAI Voice TransferApproximate Dynamic ProgrammingArtificial Super IntelligenceBackpropagationBayesian Machine LearningBias-Variance TradeoffBinary Classification AIChatbotsComposite AIConversational AIConvolutional Neural NetworksCounterfactual Explanations in AICurse of DimensionalityData LabelingDeep LearningDeep Reinforcement LearningDifferential PrivacyDimensionality ReductionEmbedding LayerEmergent BehaviorExplainable AIF1 Score in Machine LearningF2 ScoreFeedforward Neural NetworkFine Tuning in Deep LearningGated Recurrent UnitGenerative AIGraph Neural NetworksHidden LayerHyperparameter TuningIntelligent Document ProcessingLarge Language Model (LLM)Loss FunctionMachine LearningMachine Learning in Algorithmic TradingModel DriftMultimodal LearningNatural Language Generation (NLG)Natural Language Processing (NLP)Natural Language Querying (NLQ)Natural Language Understanding (NLU)Neural Text-to-Speech (NTTS)NeuroevolutionObjective FunctionPrecision and RecallPretrainingRecurrent Neural NetworksTransformersUnsupervised LearningVoice CloningZero-shot Classification Models
AI Voice AgentsAlphaGoAlphaGo ZeroAutoregressive ModelBERTChatGPTChess botsContinuous Learning SystemsDall-EDiffusion ModelsDistilBERTEco-friendly AIFoundation ModelsGenerative Teaching NetworksGoogle's BardHidden Markov Models (HMMs)Human-centered AIInference EngineLarge Language Model (LLM)Llama 2Limited Memory AILLM CollectionMambaMetacognitive Learning Models Midjourney (Image Generation)MistralMulti-Agent SystemsMultimodal AI Models and ModalitiesNeuralinkOpenAI SoraOpenAI WhisperPerceptronProbabilistic Models in Machine LearningRoBERTaRule-Based AISelf-healing AISpeech-to-text modelsText-to-Speech ModelsWhisper v2Whisper v3XLNet
Acoustic ModelsActivation FunctionsAdaGradAI AlignmentAI Emotion RecognitionAI GuardrailsAI Speech EnhancementArticulatory SynthesisAttention MechanismsAuto ClassificationAutoregressive ModelBatch Gradient DescentBeam Search AlgorithmBenchmarkingCandidate SamplingCapsule Neural NetworkCausal InferenceClassificationClustering AlgorithmsCognitive ComputingCognitive MapComputational CreativityComputational LinguisticsComputational PhenotypingComputational SemanticsConditional Variational AutoencodersConcatenative SynthesisContext-Aware ComputingContrastive LearningCURE AlgorithmData AugmentationData DriftDeepfake DetectionDiffusionDomain AdaptationDouble DescentEnd-to-end LearningEvolutionary AlgorithmsExpectation MaximizationFeature Store for Machine LearningFederated LearningFew Shot LearningFlajolet-Martin AlgorithmForward PropagationGaussian ProcessesGenerative Adversarial Networks (GANs)Gradient Boosting Machines (GBMs)Gradient ClippingGradient ScalingGrapheme-to-Phoneme Conversion (G2P)GroundingHuman-in-the-Loop AIHyperparametersHomograph DisambiguationHooke-Jeeves AlgorithmIncremental LearningInstruction TuningKeyphrase ExtractionKnowledge DistillationKnowledge Representation and Reasoningk-ShinglesLatent Dirichlet Allocation (LDA)Markov Decision ProcessMetaheuristic AlgorithmsMixture of ExpertsModel InterpretabilityMultimodal AIMultitask Prompt TuningNamed Entity RecognitionNeural Radiance FieldsNeural Style TransferNeural Text-to-Speech (NTTS)One-Shot LearningOnline Gradient DescentOut-of-Distribution DetectionOverfitting and UnderfittingParametric Neural Networks Part-of-Speech TaggingPrompt ChainingPrompt EngineeringPrompt TuningQuantum Machine Learning AlgorithmsRandom ForestRegularizationRepresentation LearningRetrieval-Augmented Generation (RAG)RLHFSemantic Search AlgorithmsSemi-structured dataSentiment AnalysisSequence ModelingSemantic KernelSemantic NetworksSpike Neural NetworksStatistical Relational LearningSymbolic AITokenizationTransfer LearningVoice CloningWinnow AlgorithmWord Embeddings
Last updated on May 7, 20241 min read
Packages
Thankfully, most of us don't have to build an AI Model from scratch. Nor do we have to write the algorithms that efficiently calculate large vector, matrix, and tensor calculations that comprise the backbone of today's machine learning models. Here's a list of some of the Packages that allow us to build today's artificial intelligence.
Whether you're improving a current model, building an app, or even coding a new machine learning model, the packages listed here will undoubtedly come in handy. Check them out!