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Introducing Nova-3: Setting a New Standard for AI-Driven Speech-to-Text
Published on 02/12/25
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AI Glossary
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Gradient Clipping
Generative Adversarial Networks (GANs)
Rule-Based AI
AI Assistants
AI Voice Agents
Activation Functions
Dall-E
Prompt Engineering
Text-to-Speech Models
AI Agents
Hyperparameters
AI and Education
AI and Medicine
Chess bots
Midjourney (Image Generation)
DistilBERT
Mistral
XLNet
Benchmarking
Llama 2
Sentiment Analysis
LLM Collection
ChatGPT
Mixture of Experts
Latent Dirichlet Allocation (LDA)
RoBERTa
RLHF
Multimodal AI
Transformers
Winnow Algorithm
k-Shingles
Flajolet-Martin Algorithm
Batch Gradient Descent
CURE Algorithm
Online Gradient Descent
Zero-shot Classification Models
Curse of Dimensionality
Backpropagation
Dimensionality Reduction
Multimodal Learning
Gaussian Processes
AI Voice Transfer
Gated Recurrent Unit
Prompt Chaining
Approximate Dynamic Programming
Adversarial Machine Learning
Bayesian Machine Learning
Deep Reinforcement Learning
Speech-to-text models
Grounding
Feedforward Neural Network
BERT
Gradient Boosting Machines (GBMs)
Retrieval-Augmented Generation (RAG)
Perceptron
Overfitting and Underfitting
Machine Learning
Large Language Model (LLM)
Graphics Processing Unit (GPU)
Diffusion Models
Classification
Tensor Processing Unit (TPU)
Natural Language Processing (NLP)
Google's Bard
OpenAI Whisper
Sequence Modeling
Precision and Recall
Semantic Kernel
Fine Tuning in Deep Learning
Gradient Scaling
AlphaGo Zero
Cognitive Map
Keyphrase Extraction
Multimodal AI Models and Modalities
Hidden Markov Models (HMMs)
AI Hardware
Deep Learning
Natural Language Generation (NLG)
Natural Language Understanding (NLU)
Tokenization
Word Embeddings
AI and Finance
AlphaGo
AI Recommendation Algorithms
Binary Classification AI
AI Generated Music
Neuralink
AI Video Generation
OpenAI Sora
Hooke-Jeeves Algorithm
Mamba
Central Processing Unit (CPU)
Generative AI
Representation Learning
AI in Customer Service
Conditional Variational Autoencoders
Conversational AI
Packages
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Fundamentals
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AI Lifecycle Management
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Machine Learning Bias
Machine Learning Life Cycle Management
Machine Translation
MLOps
Monte Carlo Learning
Multi-task Learning
Naive Bayes Classifier
Machine Learning Neuron
Pooling (Machine Learning)
Principal Component Analysis
Machine Learning Preprocessing
Rectified Linear Unit (ReLU)
Reproducibility in Machine Learning
Restricted Boltzmann Machines
Semi-Supervised Learning
Supervised Learning
Support Vector Machines (SVM)
Topic Modeling
Uncertainty in Machine Learning
Vanishing and Exploding Gradients
AI Interpretability
Data Labeling
Inference Engine
Probabilistic Models in Machine Learning
F1 Score in Machine Learning
Expectation Maximization
Beam Search Algorithm
Embedding Layer
Differential Privacy
Data Poisoning
Causal Inference
Capsule Neural Network
Attention Mechanisms
Domain Adaptation
Evolutionary Algorithms
Contrastive Learning
Explainable AI
Affective AI
Semantic Networks
Data Augmentation
Convolutional Neural Networks
Cognitive Computing
End-to-end Learning
Prompt Tuning
Double Descent
Model Drift
Neural Radiance Fields
Regularization
Natural Language Querying (NLQ)
Foundation Models
Forward Propagation
F2 Score
AI Ethics
Transfer Learning
AI Alignment
Whisper v3
Whisper v2
Semi-structured data
AI Hallucinations
Emergent Behavior
Matplotlib
NumPy
Scikit-learn
SciPy
Keras
TensorFlow
Seaborn Python Package
PyTorch
Natural Language Toolkit (NLTK)
Pandas
Ego 4D
The Pile
Common Crawl Datasets
SQuAD
Intelligent Document Processing
Hyperparameter Tuning
Markov Decision Process
Graph Neural Networks
Neural Architecture Search
Ablation
Knowledge Distillation
Model Interpretability
Out-of-Distribution Detection
Recurrent Neural Networks
Active Learning (Machine Learning)
Imbalanced Data
Loss Function
Unsupervised Learning
AI and Big Data
AdaGrad
Clustering Algorithms
Parametric Neural Networks
Acoustic Models
Articulatory Synthesis
Concatenative Synthesis
Grapheme-to-Phoneme Conversion (G2P)
Homograph Disambiguation
Neural Text-to-Speech (NTTS)
Voice Cloning
Autoregressive Model
Candidate Sampling
Machine Learning in Algorithmic Trading
Computational Creativity
Context-Aware Computing
AI Emotion Recognition
Knowledge Representation and Reasoning
Metacognitive Learning Models
Synthetic Data for AI Training
AI Speech Enhancement
Counterfactual Explanations in AI
Eco-friendly AI
Feature Store for Machine Learning
Generative Teaching Networks
Human-centered AI
Metaheuristic Algorithms
Statistical Relational Learning
Cognitive Architectures
Computational Phenotyping
Continuous Learning Systems
Deepfake Detection
One-Shot Learning
Quantum Machine Learning Algorithms
Self-healing AI
Semantic Search Algorithms
Artificial Super Intelligence
AI Guardrails
Limited Memory AI
Chatbots
Diffusion
Hidden Layer
Instruction Tuning
Objective Function
Pretraining
Symbolic AI
Auto Classification
Composite AI
Computational Linguistics
Computational Semantics
Data Drift
Named Entity Recognition
Few Shot Learning
Multitask Prompt Tuning
Part-of-Speech Tagging
Random Forest
Validation Data Set
Test Data Set
Neural Style Transfer
Incremental Learning
Bias-Variance Tradeoff
Multi-Agent Systems
Neuroevolution
Spike Neural Networks
Federated Learning
Human-in-the-Loop AI
Association Rule Learning
Autoencoder
Collaborative Filtering
Data Scarcity
Decision Tree
Ensemble Learning
Entropy in Machine Learning
Corpus in NLP
Confirmation Bias in Machine Learning
Confidence Intervals in Machine Learning
Cross Validation in Machine Learning
Accuracy in Machine Learning
Clustering in Machine Learning
Boosting in Machine Learning
Epoch in Machine Learning
Feature Learning
Feature Selection
Genetic Algorithms in AI
Ground Truth in Machine Learning
Hybrid AI
AI Detection
Information Retrieval
AI Robustness
AI Safety
AI Scalability
AI Simulation
AI Standards
AI Steering
AI Transparency
Augmented Intelligence
Decision Intelligence
Ethical AI
Human Augmentation with AI
Image Recognition
ImageNet
Inductive Bias
Learning Rate
Learning To Rank
Logits
Applications
#
A
B
C
D
E
F
G
H
I
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
Z
AI Glossary Categories
Datasets
Fundamentals
Models
Packages
Techniques
Categories
Alphabetical
Alphabetical
Alphabetical
A
AI Assistants
AI Voice Agents
Activation Functions
AI Agents
AI and Education
AI and Medicine
AI Voice Transfer
Approximate Dynamic Programming
Adversarial Machine Learning
AlphaGo Zero
AI Hardware
AI and Finance
AlphaGo
AI Recommendation Algorithms
AI Generated Music
AI Video Generation
AI in Customer Service
AI Lifecycle Management
AI Literacy
AI Monitoring
AI Oversight
AI Privacy
AI Prototyping
AI Regulation
AI Resilience
AI Interpretability
Attention Mechanisms
Affective AI
AI Ethics
AI Alignment
AI Hallucinations
Ablation
Active Learning (Machine Learning)
AI and Big Data
AdaGrad
Acoustic Models
Articulatory Synthesis
Autoregressive Model
AI Emotion Recognition
AI Speech Enhancement
Artificial Super Intelligence
AI Guardrails
Auto Classification
Association Rule Learning
Autoencoder
Accuracy in Machine Learning
AI Detection
AI Robustness
AI Safety
AI Scalability
AI Simulation
AI Standards
AI Steering
AI Transparency
Augmented Intelligence
Applications
B
Benchmarking
Batch Gradient Descent
Backpropagation
Bayesian Machine Learning
BERT
Binary Classification AI
Beam Search Algorithm
Bias-Variance Tradeoff
Boosting in Machine Learning
C
Chess bots
ChatGPT
CURE Algorithm
Curse of Dimensionality
Classification
Cognitive Map
Central Processing Unit (CPU)
Conditional Variational Autoencoders
Conversational AI
Causal Inference
Capsule Neural Network
Contrastive Learning
Convolutional Neural Networks
Cognitive Computing
Common Crawl Datasets
Clustering Algorithms
Concatenative Synthesis
Candidate Sampling
Computational Creativity
Context-Aware Computing
Counterfactual Explanations in AI
Cognitive Architectures
Computational Phenotyping
Continuous Learning Systems
Chatbots
Composite AI
Computational Linguistics
Computational Semantics
Collaborative Filtering
Corpus in NLP
Confirmation Bias in Machine Learning
Confidence Intervals in Machine Learning
Cross Validation in Machine Learning
Clustering in Machine Learning
D
Dall-E
DistilBERT
Dimensionality Reduction
Deep Reinforcement Learning
Diffusion Models
Deep Learning
Datasets
Data Labeling
Differential Privacy
Data Poisoning
Domain Adaptation
Data Augmentation
Double Descent
Deepfake Detection
Diffusion
Data Drift
Data Scarcity
Decision Tree
Decision Intelligence
E
Expectation Maximization
Embedding Layer
Evolutionary Algorithms
Explainable AI
End-to-end Learning
Emergent Behavior
Ego 4D
Eco-friendly AI
Ensemble Learning
Entropy in Machine Learning
Epoch in Machine Learning
Ethical AI
F
Flajolet-Martin Algorithm
Feedforward Neural Network
Fine Tuning in Deep Learning
Fundamentals
F1 Score in Machine Learning
Foundation Models
Forward Propagation
F2 Score
Feature Store for Machine Learning
Few Shot Learning
Federated Learning
Feature Learning
Feature Selection
G
Gradient Clipping
Generative Adversarial Networks (GANs)
Gaussian Processes
Gated Recurrent Unit
Grounding
Gradient Boosting Machines (GBMs)
Graphics Processing Unit (GPU)
Google's Bard
Gradient Scaling
Generative AI
Graph Neural Networks
Grapheme-to-Phoneme Conversion (G2P)
Generative Teaching Networks
Genetic Algorithms in AI
Ground Truth in Machine Learning
H
Hyperparameters
Hidden Markov Models (HMMs)
Hooke-Jeeves Algorithm
Hyperparameter Tuning
Homograph Disambiguation
Human-centered AI
Hidden Layer
Human-in-the-Loop AI
Hybrid AI
Human Augmentation with AI
I
Inference Engine
Intelligent Document Processing
Imbalanced Data
Instruction Tuning
Incremental Learning
Information Retrieval
Image Recognition
ImageNet
Inductive Bias
K
k-Shingles
Keyphrase Extraction
Keras
Knowledge Distillation
Knowledge Representation and Reasoning
L
Llama 2
LLM Collection
Latent Dirichlet Allocation (LDA)
Large Language Model (LLM)
Loss Function
Limited Memory AI
Learning Rate
Learning To Rank
Logits
M
Midjourney (Image Generation)
Mistral
Mixture of Experts
Multimodal AI
Multimodal Learning
Machine Learning
Multimodal AI Models and Modalities
Mamba
Models
Machine Learning Bias
Machine Learning Life Cycle Management
Machine Translation
MLOps
Monte Carlo Learning
Multi-task Learning
Machine Learning Neuron
Machine Learning Preprocessing
Model Drift
Matplotlib
Markov Decision Process
Model Interpretability
Machine Learning in Algorithmic Trading
Metacognitive Learning Models
Metaheuristic Algorithms
Multitask Prompt Tuning
Multi-Agent Systems
N
Natural Language Processing (NLP)
Natural Language Generation (NLG)
Natural Language Understanding (NLU)
Neuralink
Naive Bayes Classifier
Neural Radiance Fields
Natural Language Querying (NLQ)
NumPy
Natural Language Toolkit (NLTK)
Neural Architecture Search
Neural Text-to-Speech (NTTS)
Named Entity Recognition
Neural Style Transfer
Neuroevolution
O
Online Gradient Descent
Overfitting and Underfitting
OpenAI Whisper
OpenAI Sora
Out-of-Distribution Detection
One-Shot Learning
Objective Function
P
Prompt Engineering
Prompt Chaining
Perceptron
Precision and Recall
Packages
Pooling (Machine Learning)
Principal Component Analysis
Probabilistic Models in Machine Learning
Prompt Tuning
PyTorch
Pandas
Parametric Neural Networks
Pretraining
Part-of-Speech Tagging
Q
Quantum Machine Learning Algorithms
R
Rule-Based AI
RoBERTa
RLHF
Retrieval-Augmented Generation (RAG)
Representation Learning
Rectified Linear Unit (ReLU)
Reproducibility in Machine Learning
Restricted Boltzmann Machines
Regularization
Recurrent Neural Networks
Random Forest
S
Sentiment Analysis
Speech-to-text models
Sequence Modeling
Semantic Kernel
Semi-Supervised Learning
Supervised Learning
Support Vector Machines (SVM)
Semantic Networks
Semi-structured data
Scikit-learn
SciPy
Seaborn Python Package
SQuAD
Synthetic Data for AI Training
Statistical Relational Learning
Self-healing AI
Semantic Search Algorithms
Symbolic AI
Spike Neural Networks
T
Text-to-Speech Models
Transformers
Tensor Processing Unit (TPU)
Tokenization
Techniques
Topic Modeling
Transfer Learning
TensorFlow
The Pile
Test Data Set
U
Uncertainty in Machine Learning
Unsupervised Learning
V
Vanishing and Exploding Gradients
Voice Cloning
Validation Data Set
W
Winnow Algorithm
Word Embeddings
Whisper v3
Whisper v2
X
XLNet
Z
Zero-shot Classification Models