Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models

We introduce Jais and Jais-chat, new state-of-the-art Arabic-centric foundation and instruction-tuned open generative large language models (LLMs). The models are based on the GPT-3 decoder-only architecture and are pretrained on a mixture of Arabic and English texts, including source code in various programming languages. With 13 billion parameters, they demonstrate better knowledge and reasoning capabilities in Arabic than any existing open Arabic and multilingual models by a sizable margin, based on extensive evaluation. Moreover, the models are competitive in English compared to English-centric open models of similar size, despite being trained on much less English data. We provide a detailed description of the training, the tuning, the safety alignment, and the evaluation of the models. We release two open versions of the model -- the foundation Jais model, and an instruction-tuned Jais-chat variant -- with the aim of promoting research on Arabic LLMs. Available at https://huggingface.co/inception-mbzuai/jais-13b-chatComment: Arabic-centric, foundation model, large-language model, LLM, generative model, instruction-tuned, Jais, Jais-cha

Roman Urdu Sentiment Analysis of Reviews on PSL Anthems: Roman Urdu Sentiment Analysis of Reviews on Pakistan Super League Anthems

Due to the easy access of internet and smart devices, people are becoming habitual to give their feedback on what they hear or watch, online. These reviews are very valuable for all sorts of users. Due to the widespread online activities, the count of these reviews has raised tremendously. This fact makes it humanly impossible to analyse them manually. So it needs time that reviews to be analysed and use patterns to be found and explored through the automated channel. This led to a new field of research known as Sentiment Analysis. This paper is targeting to design a model to perform sentiment analysis of Roman Urdu text using the reviews of Pakistan Super League’s official song. To perform this analysis five different techniques-- Naïve Bayes Kernal, Random Forest, Logistic Regression, K-Nearest Neighbour and Artificial Neural Network, are applied. Naïve Bayes Kernal and Logistic Regression correctly predicted 97.00% reviews

Sebaceous carcinoma of forehead: a rare malignant lesion

Sebaceous carcinoma is an uncommon malignant tumour of the sebaceous glands. This lesion typically occurs as painless and slow growing nodule in the eyelid region. In rarity, it can develop on buccal mucosa, head and neck, and other regions of the body in people in their 60s and 70s. Sebaceous carcinoma is locally aggressive and carries the potential of regional and distant spread. We present the case of a 15-year-old male who was diagnosed with sebaceous carcinoma over the forehead. After discussing the case in the board meeting, surgery was performed to remove the tumour with 1cm margin. Outer table of the frontal bone was also removed and intraoperative frozen section was done for margin clearance. After the Figure 1excision, soft tissue coverage was done with free Anterolateral thigh flap and the patient received six cycles of post-operative radiation therapy