TRANSFORMER SINGULAR SYNTHESIZED INFERENCE
개요
발명자
Octavio Silva
IPC 분류
CPC 분류
The patent described herein refers to an artificial intelligence Transformer algorithm, used with processing mechanisms in the data input blocks that allow inference probabilities near 1. The Transformer algorithm belongs to a class of trainable Artificial Intelligence algorithms with autoencoder functions and attention mechanisms for several classes of inference problems. Certain datasets that appear to have a high degree of randomness can be manipulated to make predictions or classification with near certainty. In many cases, classification can be performed with 100% accuracy, a singular inference process. These datasets cover many practical problems and theoretical cases.
원문 (중국어)
The patent described herein refers to an artificial intelligence Transformer algorithm, used with processing mechanisms in the data input blocks that allow inference probabilities near 1. The Transformer algorithm belongs to a class of trainable Artificial Intelligence algorithms with autoencoder functions and attention mechanisms for several classes of inference problems. Certain datasets that appear to have a high degree of randomness can be manipulated to make predictions or classification with near certainty. In many cases, classification can be performed with 100% accuracy, a singular inference process. These datasets cover many practical problems and theoretical cases.