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What is ANN Parameters

Principles and Applications of Adaptive Artificial Intelligence
Like weights and biases, this represents the learned information within the artificial neural network, guiding its behavior and responses.
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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