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Similar Cases

Similar cases help machine learning models discover groups of similar examples within the data.

Similar cases help machine learning models discover groups of similar examples within the data.  Understanding similar cases from a model point of view can explain why the model has functioned the way it has for a prediction.

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F-Score (F1-Score)
Constant Features
High Feature Correlation
Target Drift
Stochastic Gradient Descent (SGD)
RandomForest
CatBoost (Categorical Boosting)
LightGBM (Light Gradient Boosting Machine)
XGBoost (eXtreme Gradient Boosting)
CTGAN (Conditional Tabular Generative Adversarial Network)
GPT-2 (Generative Pre-trained Transformer 2)
Internet Information Service Algorithm Recommendation Management Regulations
Generative AI Measures in China
Provisions on the Administration of Deep Synthesis of Internet-based Information Services
Artificial Intelligence and Algorithmic Fairness Initiative
The EU AI Act
Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Federal Trade Commission (FTC)
President Biden's Executive Order on AI
Principles for Responsible AI
Digital India Act
Draft National Data Governance Framework Policy
National Strategy for Artificial Intelligence #AIFORALL: NITI Aayog
National Cybersecurity Reference Framework
Global Partnership on Artificial Intelligence (GPAI)
Top-k
Temperature
Low-Rank Adaptation (LoRA)
Quantization
Hallucination
Multi-modal models
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Mamba
Opensource vs. Closed Source Models
Tokens
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Transformers Models
Model safety
Vector database
Large Language Models (LLMs)
Foundation models
Synthetic AI
Generative AI
Z-Test
Chi-square test
Kolmogorov–Smirnov test (K–S test or KS test)
Wasserstein distance
Jensen-Shannon(JS) Divergence
Population Stability Index (PSI)
Kullback-Leibler (KL) divergence
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Similar Cases
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Precision-recall curve
Confusion Matrix
F score
ROC Curves and ROC AUC
Data Drift
Model Drift

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