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Large language models (LLMs) show best-in-class performance across a wide range of natural language processing applications. Training these models is an extremely computationally expensive task; frontier Artificial Intelligence (AI)…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-10 Alexander Interrante-Grant , Carla Varela-Rosa , Suhaas Narayan , Chris Connelly , Albert Reuther

We present Apertus, a fully open suite of large language models (LLMs) designed to address two systemic shortcomings in today's open model ecosystem: data compliance and multilingual representation. Unlike many prior models that release…

Computation and Language · Computer Science 2025-12-03 Project Apertus , Alejandro Hernández-Cano , Alexander Hägele , Allen Hao Huang , Angelika Romanou , Antoni-Joan Solergibert , Barna Pasztor , Bettina Messmer , Dhia Garbaya , Eduard Frank Ďurech , Ido Hakimi , Juan García Giraldo , Mete Ismayilzada , Negar Foroutan , Skander Moalla , Tiancheng Chen , Vinko Sabolčec , Yixuan Xu , Michael Aerni , Badr AlKhamissi , Inés Altemir Mariñas , Mohammad Hossein Amani , Matin Ansaripour , Ilia Badanin , Harold Benoit , Emanuela Boros , Nicholas Browning , Fabian Bösch , Maximilian Böther , Niklas Canova , Camille Challier , Clement Charmillot , Jonathan Coles , Jan Deriu , Arnout Devos , Lukas Drescher , Daniil Dzenhaliou , Maud Ehrmann , Dongyang Fan , Simin Fan , Silin Gao , Miguel Gila , María Grandury , Diba Hashemi , Alexander Hoyle , Jiaming Jiang , Mark Klein , Andrei Kucharavy , Anastasiia Kucherenko , Frederike Lübeck , Roman Machacek , Theofilos Manitaras , Andreas Marfurt , Kyle Matoba , Simon Matrenok , Henrique Mendonça , Fawzi Roberto Mohamed , Syrielle Montariol , Luca Mouchel , Sven Najem-Meyer , Jingwei Ni , Gennaro Oliva , Matteo Pagliardini , Elia Palme , Andrei Panferov , Léo Paoletti , Marco Passerini , Ivan Pavlov , Auguste Poiroux , Kaustubh Ponkshe , Nathan Ranchin , Javi Rando , Mathieu Sauser , Jakhongir Saydaliev , Muhammad Ali Sayfiddinov , Marian Schneider , Stefano Schuppli , Marco Scialanga , Andrei Semenov , Kumar Shridhar , Raghav Singhal , Anna Sotnikova , Alexander Sternfeld , Ayush Kumar Tarun , Paul Teiletche , Jannis Vamvas , Xiaozhe Yao , Hao Zhao , Alexander Ilic , Ana Klimovic , Andreas Krause , Caglar Gulcehre , David Rosenthal , Elliott Ash , Florian Tramèr , Joost VandeVondele , Livio Veraldi , Martin Rajman , Thomas Schulthess , Torsten Hoefler , Antoine Bosselut , Martin Jaggi , Imanol Schlag

Language is essentially a complex, intricate system of human expressions governed by grammatical rules. It poses a significant challenge to develop capable AI algorithms for comprehending and grasping a language. As a major approach,…

The rapid development of large language models (LLMs) has significantly transformed the field of artificial intelligence, demonstrating remarkable capabilities in natural language processing and moving towards multi-modal functionality.…

The rapid advancement of large language models (LLMs) has redefined artificial intelligence (AI), pushing the boundaries of AI research and enabling unbounded possibilities for both academia and the industry. However, LLM development faces…

Software Engineering · Computer Science 2025-07-01 Hongzhou Rao , Yanjie Zhao , Xinyi Hou , Shenao Wang , Haoyu Wang

Large Language Models (LLMs) like GPT and LLaMA are revolutionizing the AI industry with their sophisticated capabilities. Training these models requires vast GPU clusters and significant computing time, posing major challenges in terms of…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-30 Jiangfei Duan , Shuo Zhang , Zerui Wang , Lijuan Jiang , Wenwen Qu , Qinghao Hu , Guoteng Wang , Qizhen Weng , Hang Yan , Xingcheng Zhang , Xipeng Qiu , Dahua Lin , Yonggang Wen , Xin Jin , Tianwei Zhang , Peng Sun

Artificial intelligence is making spectacular progress, and one of the best examples is the development of large language models (LLMs) such as OpenAI's GPT series. In these lectures, written for readers with a background in mathematics or…

Computation and Language · Computer Science 2023-10-09 Michael R. Douglas

Artificial intelligence (AI) methods have become critical in scientific applications to help accelerate scientific discovery. Large language models (LLMs) are being considered as a promising approach to address some of the challenging…

Large Language Models (LLMs) are a powerful technology that augment human skill to create new opportunities, akin to the development of steam engines and the internet. However, LLMs come with a high cost. They require significant computing…

Computers and Society · Computer Science 2024-04-16 Vishwas Sathish , Hannah Lin , Aditya K Kamath , Anish Nyayachavadi

The performance of Large Language Models (LLMs) is determined by their training data. Despite the proliferation of open-weight LLMs, access to LLM training data has remained limited. Even for fully open LLMs, the scale of the data makes it…

Computation and Language · Computer Science 2025-10-13 Ines Altemir Marinas , Anastasiia Kucherenko , Alexander Sternfeld , Andrei Kucharavy

Online education platforms, leveraging the internet to distribute education resources, seek to provide convenient education but often fall short in real-time communication with students. They often struggle to address the diverse obstacles…

Artificial Intelligence · Computer Science 2024-04-29 Qingyao Li , Lingyue Fu , Weiming Zhang , Xianyu Chen , Jingwei Yu , Wei Xia , Weinan Zhang , Ruiming Tang , Yong Yu

Large Language Models (LLMs) have emerged as powerful tools in various research domains. This article examines their potential through a literature review and firsthand experimentation. While LLMs offer benefits like cost-effectiveness and…

Human-Computer Interaction · Computer Science 2024-04-10 M. Namvarpour , A. Razi

The training of large language models (LLMs) requires substantial computational resources, complex software stacks, and carefully designed workflows to achieve scalability and efficiency. This report presents best practices and insights…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-08 Carolin Penke , Chelsea Maria John , Jan Ebert , Stefan Kesselheim , Andreas Herten

Large Language Models (LLMs) represent a leap in artificial intelligence, excelling in tasks using human language(s). Although the main focus of general-purpose LLMs is not code generation, they have shown promising results in the domain.…

Software Engineering · Computer Science 2024-01-30 Sanka Rasnayaka , Guanlin Wang , Ridwan Shariffdeen , Ganesh Neelakanta Iyer

Using Large Language Models (LLMs) to address critical societal problems requires adopting this novel technology into socio-technical systems. However, the complexity of such systems and the nature of LLMs challenge such a vision. It is…

Artificial Intelligence · Computer Science 2024-11-15 Christian Cabrera , Viviana Bastidas , Jennifer Schooling , Neil D. Lawrence

Large language models (LLMs) have ushered in a new era for processing complex information in various fields, including science. The increasing amount of scientific literature allows these models to acquire and understand scientific…

Computation and Language · Computer Science 2024-08-21 Huy Quoc To , Ming Liu , Guangyan Huang

Large Language Models (LLMs), AI models trained on massive text corpora with remarkable language understanding and generation capabilities, are transforming the field of Autonomous Driving (AD). As AD systems evolve from rule-based and…

Artificial Intelligence · Computer Science 2024-07-30 Yun Li , Kai Katsumata , Ehsan Javanmardi , Manabu Tsukada

The recent progression of Large Language Models (LLMs) has witnessed great success in the fields of data-centric applications. LLMs trained on massive textual datasets showed ability to encode not only context but also ability to provide…

Cryptography and Security · Computer Science 2024-05-24 Mohammed Hassanin , Nour Moustafa

Large Language Models (LLMs), typified by OpenAI's GPT, have marked a significant advancement in artificial intelligence. Trained on vast amounts of text data, LLMs are capable of understanding and generating human-like text across a…

Artificial Intelligence · Computer Science 2024-10-29 Haochen Zhang , Yuyang Dong , Chuan Xiao , Masafumi Oyamada

The startling success of ChatGPT and other large language models (LLMs) using transformer-based generative neural network architecture in applications such as natural language processing and image synthesis has many researchers excited…

Artificial Intelligence · Computer Science 2024-11-05 Venkat Venkatasubramanian , Arijit Chakraborty
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