Author(s):
1. Predrag Dašić, SaTCIP Publisher Ltd., 36610 Vrnjačka Banja i Visoka tehnička mašinska škola strukovnih studija (VTM, Serbia

Abstract:
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), etc. In contrast, the teaching staff uses and will increasingly use software systems for detecting plagiarism (software for plagiarism) in the mentioned works of students. Currently, the big problem for both is how to properly use unfamiliar software systems. 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.

Key words:
Education,Software,Artificial Intelligence (AI),Large Language Models (LLM).

Thematic field:
SYMPOSIUM A - Science of matter, condensed matter and physics of solid states

Date of abstract submission:
23.08.2023.

Conference:
Contemporary Materials 2023 - Savremeni materijali

Abstract