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What is ANN learning, or ANN Training

Principles and Applications of Adaptive Artificial Intelligence
A process aimed at minimizing the error made by the artificial neural network when processing the training data.
Published in Chapter:
Beyond Surface Linguistics: Assessing the Cognitive Limitations of GPT Through the Long Memory Test
Matej Šprogar (Faculty of Electrical Engineering and Computer Science, University of Maribor, Slovenia)
Copyright: © 2024 |Pages: 21
DOI: 10.4018/979-8-3693-0230-9.ch005
Abstract
Contemporary artificial intelligence has advanced markedly toward mimicking human intelligence. Despite linguistic proficiency, machines remain bereft of genuine text comprehension, leading to perceived, albeit superficial, intelligence. This chapter introduces a straightforward test that highlights the non-human-like cognition of machines such as ChatGPT. Eschewing the prevalent approach of progressively complex testing, the long memory test highlights ChatGPT's inability to function at a human level. Central to this assessment, the test mandates reliable information retention, a feat the transformer architecture of GPT fails to achieve.
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