1. Predrag Dašić, SaTCIP Publisher Ltd., 36610 Vrnjačka Banja i Visoka tehnička mašinska škola strukovnih studija (VTM, Serbia
In the new real world, everything is becoming digital and smart with a large admixture of different artificial intelligence (AI) technologies. In part of the educational process, students have already widely started to use modern software systems based on artificial intelligence (AI) for writing seminar, diploma and master theses (a large group of software systems called LLM), for making presentations (such as BeautifulAI), for solving mathematical problems (PhotoMath) and etc. In contrast, the teaching staff still uses outdated teaching methods. Currently, the big problem for both is how to harmonize these two diametrically opposed directions of the educational process. For students how to properly use unfamiliar software systems, and in contrast for teaching staff how to introduce new software systems into curricula and how to find solutions for new knowledge assessment methodology and, also, how to start using software systems for plagiarism detection (software for plagiarism) in the mentioned works of students. Large Language Models (LLM) are language models that can recognize, summarize, translate, predict and generate content using very large data sets. They consist of neural networks with many parameters (typically billions of weights or more), trained on large amounts of unlabeled text using self-supervised learning or semi-supervised learning. LLMs are more recent, and the first of this group of software BERT and GPT-1 appeared in 2018. Examples of LLM are: BERT, GPT (GPT-1, GPT-2, GPT-3 and GPT-4), LaMDA, BLOOM, ChatGPT, LLaMA etc. All of the above examples of developed LLM systems are widely used in education in the field of engineering sciences, which is the aim of this paper.
Ključne reči :
Tematska oblast:
SIMPOZIJUM B - Biomaterijali i nanomedicina
Datum:
26.08.2024.
Contemporary Materials 2024 - Savremeni Materijali
Datoteka uz rad
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