AI-Enhanced Methods in Autonomous Systems: Large Language Models, DL Techniques, and Optimization Algorithms حسب I. de Zarza (17378452)

"…<p dir="ltr">Presentation for PhD thesis:</p><p dir="ltr">AI-Enhanced Methods in Autonomous Systems: Large Language Models, DL Techniques, and Optimization Algorithms https://doi.org/10.4995/Thesis/10251/202201</p><p dir="ltr">Abstract:</p><p dir="ltr">The proliferation of autonomous systems, and their increasing integration with day-to-day human life, have opened new frontiers of research and development. …"

<b>The Large Language Model GPT-4 Compared to Endocrinologist Responses on Initial Choice of Antidiabetic Medication Under Conditions of Clinical Uncertainty</b> حسب James H. Flory (236115)

<b>Enhancing Human-AI Interactions: The Impact of Pseudo-code Engineering on Improving Predictability and Stability in Large Language Models</b> - Appendix A حسب Gian Michaelsen (18824614)

"…<p dir="ltr">This research focuses on an innovative approach to enhancing the predictability and stability of interactions between humans and Large Language Models (LLMs), such as ChatGPT, through the use of pseudo-code. …"

Feasibility of AI-powered assessment scoring: Can large language models replace human raters? حسب Michael Jaworski III (22156096)

"…<p><b>Objective:</b> To assess the feasibility, accuracy, and reliability of using ChatGPT-4.5 (early-access), a large language model (LLM), for automated scoring of Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) protocols. …"

Brief summary highlighting the study methology. a) AI Tool Development and Pediatric Repurposing: The AI tool was originally trained and validated using a large dataset of adult ch... حسب Prerana Agarwal (21781515)

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Benchmark of the mean difference in FKS for pre-processing to post-processing for each large language model approach, Programmatic+AI, T5, GPT-J-6b. حسب Karl Swanson (3580583)

Bibliometric methods for identifying AI-assisted papers حسب Andrew Gray (10234100)

Example of reference standard and AI output. حسب Prerana Agarwal (21781515)

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Flow charts showing the performance for all the relevant pathologies (a) in all age groups, (b) 7–14 years, and (c) 2–6 years. حسب Prerana Agarwal (21781515)

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Performance on increasingly large data sets. حسب Kieran Elmes (11127506)

Original large DBs. حسب Steven L. Yu (18150306)

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Image examples representing strengths and limitations of the AI tool. حسب Prerana Agarwal (21781515)

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Data Sheet 1_Knowledge, use and perceptions of artificial intelligence Chatbots among Italian physiotherapists: an online cross-sectional survey.pdf حسب Manuela Deodato (11135016)

Data Sheet 2_Knowledge, use and perceptions of artificial intelligence Chatbots among Italian physiotherapists: an online cross-sectional survey.pdf حسب Manuela Deodato (11135016)

Large species studied herein. حسب Steven L. Yu (18150306)

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Species richness (<i>SR</i>, upper panels) and Shannon’s entropy (<i>SE</i>, lower panels) vs. the rate in which new species are trying to invade the community, <i>νN</i>. حسب Immanuel Meyer (12306666)

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For a random opinion vector y(0), on ER models with <i>n</i> = 100 and <i>ρ</i> ∈ (0,1]. حسب Xi Chen (35903)

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For 1,000 random y(0). حسب Xi Chen (35903)

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For a random opinion vector y(0) with mean −0.0395, on 1,000 ER models with <i>n</i> = 100 and <i>ρ</i> = 0.4. حسب Xi Chen (35903)

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For the Karate network. حسب Xi Chen (35903)

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