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Interplay
Low-code AI Application Development Platform
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Tutorials for building in Interplay
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Manage LLMs & Generative AI
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AI document management and computer vision
Frontline
AI staff management for workforces
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Develop AI solutions 17x faster with Interplay
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Solutions
Industry
AI for Insurance Providers
AI for risk, predictive analytics, and risk management
AI for Convenience Stores
AI for quick convenience and better operations
AI for Retail
AI for merchandising, pricing, and store operations
AI for Quick Serve Restaurants
AI drive-thru, front of the house, back of the house
AI for Hospitality
AI improving guest experiences and staff operations
AI for Enterprise Banking
AI applications for banking and finance
Technologies
License Plate Recognition
AI vision for fueling, service, and curbside checkout
AI Edge Computing
Bring AI to edge servers
Threat Detection
Open Source
AI computer vision weapons detection freely available
AppCoder LLM
Open Source
Open Source AI for improving developer environments
AI Explored
Stay informed on the latest AI news and how it's turbocharging industries.
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Partners
Intel
AI runtime optimized for CPU deployments
Google Cloud
Interplay available on GCP
Hughes
Reseller of Iterate.ai apps and edge solutions
Fujifilm
Enterprise document solutions for Asia
NVIDIA
Generative AI on NVIDIA chips
TD Synnex
Reseller of Iterate.ai apps and AI PC solutions
Amazon Web Services
Interplay available on AWS
Qualcomm
Embedded LLMs for IoT
Intel
Gen AI edge deployments & LLM CPU architectures
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Resources
Use Cases
Common useful deployments
Research
See our white papers on the AI market
AI Glossary
Index of common AI terminology
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Our quick take on AI topics
AI Glossary
A reference to help readers understand unfamiliar AI terminology
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About Iterate
About us
A quick overview of Iterate.ai
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AI Glossary
We aim to maintain simplicity in our communication, but you may encounter unfamiliar AI business or industry terms. If ever in doubt, refer to our glossary for clarification
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Categories
AI Algorithms and Methods
Activation Function
Agentic AI
Algorithm
Attention Mechanism
Attention Pooling
AutoML (Automated Machine Learning)
Backpropagation
Bandit Algorithm
Classification
Clustering
Deep Q Network (DQN)
Dimensionality Reduction
Evolutionary Algorithms
Feature Engineering
Feature Extraction
Few-Shot Learning
Gradient Descent
Hyperparameter
Knowledge Distillation
Loss Function
Markov Decision Process (MDP)
Multi-Task Learning
Open-Source Algorithm
Optimization
Policy Gradient
Prompt Engineering
Q-learning
RAG (Retrieval-Augmented Generation)
Regression
Zero-Shot Learning
AI Data Handling and Management
Annotation
Bag of Words (BoW)
Benchmarking
Concept Drift
Data Augmentation
Data Drift
Data Imputation
Data Labeling
Data Pipeline
Data Postprocessing
Data Preprocessing
Datasets
Embedding Stores
Feature Store
Ground Truth
Model Generalization
Open-Source Datasets
Overfitting
Privacy-Preserving Data Sharing
Regularization
Synthetic Data
Synthetic Media
Term Frequency-Inverse Document Frequency (TF-IDF)
Test Data
Tokens
Training Data
Underfitting
Validation Data
Vector Database
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Area Under Curve (AUC)
BLEU Score
Bias
Calibration Error
Confusion Matrix
Cross-Validation
F1 Score
Fairness Metrics
Log Loss
METEOR Score
Model Explainability Metrics
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Precision
ROUGE Score
Recall
Receiver Operating Characteristic Curve (ROC Curve)
Variance
AI Frameworks and Libraries
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Gensim
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Hugging Face
Keras
LangChain
MLflow
Natural Language Toolkit (NLTK)
ONNX (Open Neural Network Exchange)
Open Source Agents
Open-Source
Open-Source Model
OpenCV
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TensorFlow
Walled Garden
scikit-learn
AI Learning Techniques and Strategies
Active Learning
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Contrastive Learning
Curriculum Learning
Energy-Based Learning
Federated Learning
Few-Shot Fine-Tuning
Fine-tuning
Heuristic Methods
Human in the Loop
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Semi-Supervised Learning
Sequence Modeling
Tokenization
Training
Transfer Learning
AI Models and Architectures
BERT (Bidirectional Encoder Representations from Transformers)
Bidirectional Models
Convolutional Neural Network (CNN)
Falcon
Gated Recurrent Unit (GRU)
Generative AI
Generative Adversarial Network (GAN)
LLaMA (Low Latency Machine Learning Applications)
Long Short-Term Memory (LSTM)
Mistral
Model
Qwen
Recurrent Neural Network (RNN)
Stable Diffusion
Transformer
Variational Autoencoder (VAE)
Vicuna
AI Processing and Hardware
Graphics Processing Unit (GPU)
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Tensor
Tensor Processing Unit (TPU)
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Core AI Concepts
Artificial General Intelligence (AGI)
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Machine Learning
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Reinforcement Learning
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Strong AI
Supervised Learning
Unsupervised Learning
Weak AI
Generative AI and Related Concepts
Autoencoder
Compressed Representation
Decode
Deep Fakes
Denoising
Differentiator
Diffusion-based Text-to-Image Models
Encode
Generative Pretraining
Generator
Hallucination
Hallucination Detection
Image-to-Text Models
Latent Diffusion Models
Latent Space
Lower-dimensional Representation
Model Alignment
Textual Inversion
Mathematics and Statistics in AI
ANOVA (Analysis of Variance)
Bayesian Networks
Bayesian Optimization
Calculus
Causation
Correlation
Embeddings
GloVe (Global Vectors for Word Representation)
Graph Theory
Kernel Methods
Linear Algebra
Matrix Factorization
PCA (Principal Component Analysis)
Probability
Shannon Entropy
Spectral Clustering
Statistics
UMAP (Uniform Manifold Approximation and Projection)
Vectors
Word2Vec
t-SNE (t-Distributed Stochastic Neighbor Embedding)
New Terms
GitHub
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Zero Shot
Popular AI Models
AlexNet
DenseNet
DistilBERT
ELMo (Embeddings from Language Models)
EfficientNet
GPT (Generative Pre-trained Transformer)
Inception
Mistral
MobileNet
ResNet (Residual Network)
RoBERTa (Robustly Optimized BERT Pretraining Approach)
T5 (Text-To-Text Transfer Transformer)
U-Net
VGGNet
Xception
YOLO (You Only Look Once)