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(1) Background: The development of Generative Artificial Intelligence (GenAI) is transforming knowledge-intensive domains such as Education. However, Large Language Models (LLMs), which serve as the foundational components for GenAI tools, are trained on
Aparna Vinayan Kozhipuram +2 more
doaj +3 more sources
State-of-the-art language models are becoming increasingly large in an effort to achieve the highest performance on large corpora of available textual data. However, the sheer size of the Transformer architectures makes it difficult to deploy models within computational, environmental or device-specific constraints.
Tycho F. A. van der Ouderaa +4 more
openaire +3 more sources
Trends and challenges of Arabic Chatbots: Literature review
A conversational system is a natural language processing task that has recently attracted increasing attention with the advancements in Large Language Models (LLMs) and Language Models for Dialogue Applications (LaMDA). However, Conversational Artificial
Yassine Saoudi, Mohamed Mohsen Gammoudi
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We consider excitations of LLM geometries described by coloring the LLM plane with concentric black rings. Certain closed string excitations are localized at the edges of these rings. The string theory predictions for the energies of magnon excitations of these strings depends on the radii of the edges of the rings.
de Mello Koch, R. +2 more
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Prompt engineering for structured data: a comparative evaluation of styles and LLM performance [PDF]
Prompt engineering for structured data is an evolving challenge as large language models (LLMs) grow in sophistication. Earlier studies, including prior work by the authors, tested only a limited set of prompts on a single model such as GPT-4o.
Ashraf Elnashar +2 more
doaj +1 more source
Optimizing Blockchain Platform Selection: A Decision-Making Approach Using LLMs, Type-2 Neutrosophic Numbers, CRITIC, and MAIRCA [PDF]
Blockchain (BC) platforms integrated with Generative AI (GenAI) like Large Language Models (LLMs) are the basic infrastructure for significant consumer data like Bitcoin and Smart Contracts systems, addressing challenges such as protection from anomalous
Hend Ahmed +2 more
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ChatGPT-4 and Italian Dialects: Assessing Linguistic Competence
The purpose of this study is to evaluate ChatGPT-4’s language proficiency in Italian dialects. At the outset, it is clarified what is meant by ‘language ability’ within the context of Large Language Models.
Silvia Lilli
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Disinformation as weaponised ignorance: A hybrid teleological–epistemic framework [PDF]
Background: Contemporary debates on disinformation are dominated by two influential approaches: Fallis’s functional (teleological) model and Simion’s purely epistemic Disinformation as Ignorance-Generating Content (DIGC) model. Their respective strengths
Ramin Rambod, Hadi Samadi, Shahla Eslami
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Exploring Alternative Microservice Decompositions using Data-driven Techniques and LLMs
The problem of migrating monolithic applications to microservices has become popular both in industry and academia, particularly when using automated tools to assist developers in the decomposition.
Ana Martínez Saucedo +3 more
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