Thuật ngữ AI
Từ điển đầy đủ về Trí tuệ nhân tạo
Adaptive Quantization
Technique that dynamically adjusts quantization parameters based on the statistical characteristics of model activations and weights to optimize the accuracy/performance trade-off.
Dynamic Calibration
Process of automatically adjusting quantization parameters during inference using representative data to determine optimal value ranges.
Variable-Bit Quantization
Adaptive technique assigning different bit precisions to different layers or neurons according to their sensitivity and contribution to overall model performance.
Layer-wise Quantization
Adaptive strategy applying distinct quantization parameters for each layer of the neural network based on its specific characteristics.
Adaptive Thresholding
Technique dynamically determining optimal clipping thresholds to limit extreme values and minimize quantization error.
Precision Optimization
Adaptive process aiming to maximize the accuracy of the quantized model by iteratively adjusting quantization parameters to minimize degradation.
Dynamic Scaling
Adaptive technique adjusting quantization scale factors in real-time during inference to adapt to variations in data distribution.
Adaptive Clipping
Method dynamically optimizing quantization bounds to minimize reconstruction error while preserving critical model information.
Quantification Basée sur les Statistiques
Stratégie adaptative utilisant les statistiques des tenseurs (moyenne, variance, percentiles) pour déterminer les paramètres optimaux de quantification.
Algorithme de K-Means pour Quantification
Technique adaptative utilisant le clustering K-Means pour identifier les représentants optimaux et minimiser l'erreur de quantification globale.
Quantification Basée sur l'Erreur
Méthode adaptative minimisant directement l'erreur de reconstruction en ajustant les paramètres de quantification pour réduire l'impact sur la précision du modèle.
Quantification par Apprentissage
Technique adaptative intégrant des opérations de quantification simulées pendant l'entraînement pour optimiser les poids et activations pour une précision réduite.