Glossary
Fundamentals
Fundamentals
Adversarial Machine LearningAI AgentsAI and EducationAI and MedicineAI AssistantsAI HardwareAI Voice TransferApproximate Dynamic ProgrammingBackpropagationBayesian Machine LearningCurse of DimensionalityData LabelingDeep LearningDeep Reinforcement LearningDimensionality ReductionF1 Score in Machine LearningFeedforward Neural NetworkFine Tuning in Deep LearningGated Recurrent UnitGenerative AILarge Language Model (LLM)Machine LearningMultimodal LearningNatural Language Generation (NLG)Natural Language Processing (NLP)Natural Language Understanding (NLU)Precision and RecallTransformersZero-shot Classification Models
Models
AlphaGo ZeroBERTChatGPTChess botsDall-EDiffusion ModelsDistilBERTGoogle's BardHidden Markov Models (HMMs)Inference EngineLarge Language Model (LLM)Llama 2LLM CollectionMidjourney (Image Generation)MistralOpenAI WhisperPerceptronProbabilistic Models in Machine LearningRoBERTaRule-Based AISpeech-to-text modelsText-to-Speech ModelsXLNet
Techniques
Activation FunctionsBatch Gradient DescentBeam Search AlgorithmBenchmarkingClassificationCURE AlgorithmExpectation MaximizationFlajolet-Martin AlgorithmGaussian ProcessesGenerative Adversarial Networks (GANs)Gradient Boosting Machines (GBMs)Gradient ClippingGradient ScalingGroundingHyperparametersk-ShinglesLatent Dirichlet Allocation (LDA)Mixture of ExpertsMultimodal AIOnline Gradient DescentOverfitting and UnderfittingPrompt ChainingPrompt EngineeringRetrieval-Augmented Generation (RAG)RLHFSentiment AnalysisSequence ModelingSemantic KernelTokenizationWinnow AlgorithmWord Embeddings
Last updated on February 16, 20241 min read
Fundamentals

Unlock the mysteries of Artificial Intelligence with our 'Fundamentals' guide. Dive deep into the core concepts and discover the fascinating intersection of linguistics and AI.

The multifaceted world of Artificial Intelligence (AI) demands a firm grounding in its basic principles to fully appreciate its intricacies and potential.

Core Concepts:

Discover the essence of AI. This section offers a distilled overview of:

  • The definitions that capture the spirit of AI.

  • The evolution of AI through time.

  • The principles underpinning machine learning.

  • The pivotal role of neural networks in advancing AI capabilities.

  • The critical considerations of ethics in AI's design and deployment.

Language AI Focus:

Language and AI converge to create a dynamic realm of possibilities. Dive into:

  • The synergy of linguistics and AI.

  • The mechanisms that empower machines to process human language.

  • The challenges and future trajectories of AI's interaction with language.

Regardless of your background—be it a seasoned expert, academic, student, or just a curious soul—the "Fundamentals" section is your compass, directing you towards a deeper understanding of AI's vast domain.

Unlock language AI at scale with an API call.

Get conversational intelligence with transcription and understanding on the world's best speech AI platform.

Sign Up FreeSchedule a Demo
Deepgram
Essential Building Blocks for Voice AI