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Summary of Arabiangpt: Native Arabic Gpt-based Large Language Model, by Anis Koubaa et al.


ArabianGPT: Native Arabic GPT-based Large Language Model

by Anis Koubaa, Adel Ammar, Lahouari Ghouti, Omar Najar, Serry Sibaee

First submitted to arxiv on: 23 Feb 2024

Categories

  • Main: Computation and Language (cs.CL)
  • Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)

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Summary difficulty Written by Summary
High Paper authors High Difficulty Summary
Read the original abstract here
Medium GrooveSquid.com (original content) Medium Difficulty Summary
ArabianGPT is a series of transformer-based language models designed specifically for processing Arabic linguistic elements. The existing English and Latin-based large language models (LLMs) have led to a deficit in native Arabic LLMs, which are crucial for accurately processing the intricate morphology and syntax of Arabic. To address this gap, the ArabianLLM suite proposes models that vary in size and complexity, aligning with the nuanced linguistic characteristics of Arabic. The AraNizer tokenizer is an integral part of these models, addressing the unique morphological aspects of Arabic script to ensure more accurate text processing. Empirical results from fine-tuning the models on tasks like sentiment analysis and summarization demonstrate significant improvements, showcasing the efficacy of fine-tuning in aligning ArabianGPT models with specific NLP tasks.
Low GrooveSquid.com (original content) Low Difficulty Summary
ArabianGPT is a special kind of computer program that can understand and generate text in Arabic. Right now, there are many programs that can do this for English and other languages, but not enough for Arabic. This makes it hard to process the unique features of Arabic language. To fix this problem, researchers created a new set of programs called ArabianGPT that are designed specifically for Arabic. These programs have different sizes and abilities, which helps them understand Arabic text better. They also created a special tool called AraNizer that helps with processing Arabic script. The results show that these programs can do tasks like understanding emotions in text and summarizing articles much better than before.

Keywords

* Artificial intelligence  * Fine tuning  * Nlp  * Summarization  * Syntax  * Tokenizer  * Transformer