Glossary
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Acoustic ModelsActivation FunctionsAdaGradAI AlignmentAI Emotion RecognitionAI GuardrailsAI Speech EnhancementArticulatory SynthesisAttention MechanismsAutoregressive ModelBatch Gradient DescentBeam Search AlgorithmBenchmarkingCandidate SamplingCapsule Neural NetworkCausal InferenceClassificationClustering AlgorithmsCognitive ComputingCognitive MapComputational CreativityComputational PhenotypingConditional Variational AutoencodersConcatenative SynthesisContext-Aware ComputingContrastive LearningCURE AlgorithmData AugmentationDeepfake DetectionDiffusionDomain AdaptationDouble DescentEnd-to-end LearningEvolutionary AlgorithmsExpectation MaximizationFeature Store for Machine LearningFlajolet-Martin AlgorithmForward PropagationGaussian ProcessesGenerative Adversarial Networks (GANs)Gradient Boosting Machines (GBMs)Gradient ClippingGradient ScalingGrapheme-to-Phoneme Conversion (G2P)GroundingHyperparametersHomograph DisambiguationHooke-Jeeves AlgorithmInstruction TuningKeyphrase ExtractionKnowledge DistillationKnowledge Representation and Reasoningk-ShinglesLatent Dirichlet Allocation (LDA)Markov Decision ProcessMetaheuristic AlgorithmsMixture of ExpertsModel InterpretabilityMultimodal AINeural Radiance FieldsNeural Text-to-Speech (NTTS)One-Shot LearningOnline Gradient DescentOut-of-Distribution DetectionOverfitting and UnderfittingParametric Neural Networks Prompt ChainingPrompt EngineeringPrompt TuningQuantum Machine Learning AlgorithmsRegularizationRepresentation LearningRetrieval-Augmented Generation (RAG)RLHFSemantic Search AlgorithmsSemi-structured dataSentiment AnalysisSequence ModelingSemantic KernelSemantic 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!

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