AI Advancements: Comparison of Innovative Techniques
H Taherdoost, M Madanchian - AI, 2023 - mdpi.com
In recent years, artificial intelligence (AI) has seen remarkable advancements, stretching the
limits of what is possible and opening up new frontiers. This comparative review investigates …
limits of what is possible and opening up new frontiers. This comparative review investigates …
Gpt-in-the-loop: Adaptive decision-making for multiagent systems
N Nascimento, P Alencar, D Cowan - arXiv preprint arXiv:2308.10435, 2023 - arxiv.org
This paper introduces the" GPT-in-the-loop" approach, a novel method combining the
advanced reasoning capabilities of Large Language Models (LLMs) like Generative Pre …
advanced reasoning capabilities of Large Language Models (LLMs) like Generative Pre …
GPT-in-the-Loop: Supporting Adaptation in Multiagent Systems
N Nascimento, P Alencar… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
This paper introduces the 'GPT-in-the-loop'approach, which seeks to investigate the
reasoning capabilities of Large Language Models (LLMs) like Generative Pre-trained …
reasoning capabilities of Large Language Models (LLMs) like Generative Pre-trained …
[PDF][PDF] RESEARCH THE MULTIDIMENSIONAL LOGISTIC FUNCTION IN THE INTRUSION DETECTION SYSTEM WITH MACHINE LEARNING
TV Jamgharyan - Bulletin օf High Technology N2, 2023 - bulletin.am
The paper presents the results of the research the model for changing the logistic function.
The research was conducted on datasets generated based on the source code abc, cheeba …
The research was conducted on datasets generated based on the source code abc, cheeba …
[PDF][PDF] Network Intrusion Detection System Performance Measurement Model
T Jamgharyan - csit.am
The paper presents the results of research performance test software for capsule,
convolutional and generative-adversarial networks as part of network intrusion detection …
convolutional and generative-adversarial networks as part of network intrusion detection …