Results 21 to 30 of about 89,825 (246)
Large Language Models and Privacy in the Corporate Context
The rapid development of Large Language Models (LLMs), such as GPT-3 and GPT-4, has transformed corporate functions, yet their integration raises critical privacy concerns.
Guendalina Capece +2 more
doaj +1 more source
"To LLM, or Not to LLM?": How Designers and Developers Navigate LLMs as Tools or Teammates
6 pages, 2 figures, 1 ...
Varad Vishwarupe +3 more
openaire +2 more sources
Background. Building upon previous research, this study conducts an exploration into Large Language Models (LLMs), with an emphasis on the fine-tuning and assessment of LLaMA-3.1 for instructional tasks. LLaMA-3.1, which is a new generation model and has
Bohdan Pavlyshenko, Ivan Bulka
doaj +1 more source
LLMs + Persona-Plug = Personalized LLMs
Personalization plays a critical role in numerous language tasks and applications, since users with the same requirements may prefer diverse outputs based on their individual interests. This has led to the development of various personalized approaches aimed at adapting large language models (LLMs) to generate customized outputs aligned with user ...
Jiongnan Liu 0001 +8 more
openaire +4 more sources
Simulated Selfhood in LLMs: A Behavioral Analysis of Introspective Coherence
Large Language Models (LLMs) increasingly generate outputs that resemble introspection, including self-reference, epistemic modulation, and claims about their internal states.
Jose Augusto de Lima Prestes
core +3 more sources
The economic trends reviewed in this paper will play a prominent role in the labor market of the near future with the exponential growth of the uptake of artificial intelligence applications.
Keszi, Roland
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
doaj +1 more source
Set-LLM: A Permutation-Invariant LLM
While large language models (LLMs) demonstrate impressive capabilities across numerous applications, their robustness remains a critical concern. This paper is motivated by a specific vulnerability: the order sensitivity of LLMs. This vulnerability manifests itself as the order bias observed when LLMs decide between possible options (for example, a ...
Beni Egressy, Jan Stühmer
openaire +3 more sources
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley +1 more source

