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Littérature scientifique sur le sujet « OpenAI Source »

Auteur : Grafiati

Publié le 2 juin 2025

Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "OpenAI Source"

Diara, Filippo. "Open Source HBIM and OpenAI: Review and New Analyses on LLMs Integration." Heritage 8, no. 5 (2025): 149. https://doi.org/10.3390/heritage8050149.

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This work concentrates on an experimental project for the integration of Large Language Models (LLMs) inside a Historic Building Information Modeling (HBIM) workflow. In particular, this evaluation was carried out by using open source solutions as concerns parametric modeling of BIM elements. This experimental test focuses on how Python scripts, generated by AI agents, can create parametric models for HBIM purposes and archaeology: starting from the archaeological plan, the parametric modeling of the Parthenon temple was carried out via a text-to-BIM workflow based on OpenAI and open source to

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Doroshenko, A. Y., and I. Z. Achour. "Application of neuro evolution tools in automation of technical control systems." PROBLEMS IN PROGRAMMING, no. 1 (March 2021): 016–25. http://dx.doi.org/10.15407/pp2021.01.016.

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Reinforced learning is a field of machine learning based on how software agents should perform actions in the environment to maximize the concept of cumulative reward. This paper proposes a new application of machine reinforcement learning techniques in the form of neuro-evolution of augmenting topologies to solve control automation problems using modeling control problems of technical systems. Key application components include OpenAI Gym toolkit for develop-ing and comparing reinforcement learn-ing algorithms, full-fledged open-source implementation of the NEAT genetic al-gorithm called Shar

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Roy, Josh, and George D. Konidaris. "Visual Transfer For Reinforcement Learning Via Wasserstein Domain Confusion." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 11 (2021): 9454–62. http://dx.doi.org/10.1609/aaai.v35i11.17139.

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We introduce Wasserstein Adversarial Proximal Policy Optimization (WAPPO), a novel algorithm for visual transfer in Reinforcement Learning that explicitly learns to align the distributions of extracted features between a source and target task. WAPPO approximates and minimizes the Wasserstein-1 distance between the distributions of features from source and target domains via a novel Wasserstein Confusion objective. WAPPO outperforms the prior state-of-the-art in visual transfer and successfully transfers policies across Visual Cartpole and both the easy and hard settings of of 16 OpenAI Procge

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Alzubaidi, Khairi. "Foreword." Arab World English Journal 1, no. 1 (2024): 3. http://dx.doi.org/10.24093/awej/chatgpt.23.

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As technology advances, there are growing arguments about artificial intelligence, which is still controversial, with both welcome and pessimistic views regarding its role in the future of human life. What was revealed about the development of artificial intelligence is considered very simple in the eyes of specialists and observers, especially in areas that have not been explored, and this constitutes a source of fear for many. The vast leaps witnessed in recent years in the field of artificial intelligence have become a source of anxiety for most people, especially those working in instituti

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Palkowski, Marek, and Mateusz Gruzewski. "GPT-Driven Source-to-Source Transformation for Generating Compilable Parallel CUDA Code for Nussinov’s Algorithm." Electronics 13, no. 3 (2024): 488. http://dx.doi.org/10.3390/electronics13030488.

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Designing automatic optimizing compilers is an advanced engineering process requiring a great deal of expertise, programming, testing, and experimentation. Maintaining the approach and adapting it to evolving libraries and environments is a time-consuming effort. In recent years, OpenAI has presented the GPT model, which is designed for many fields like computer science, image processing, linguistics, and medicine. It also supports automatic programming and translation between programming languages, as well as human languages. This article will verify the usability of the commonly known LLM mo

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Andhov (Horváthová), Alexandra. "OpenAI’s Transformation: From a Non-profit to a 157 Billion Valuation." Business Law Review 46, Issue 1 (2025): 2–11. https://doi.org/10.54648/bula2025003.

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p class="MsoNormal"span style="font-size:10.0pt;line-height:107%;font-family: "AdvOTecfccdcf_I",sans-serif;mso-bidi-font-family:AdvOTecfccdcf_I"The transformation of OpenAI from its altruistic non-profit origins to a commercially-driven entity valued at over USD 157 billion in October 2024 represents a significant paradigm shift in the artificial intelligence (A)I industry. Established in 2015 with the aim of developing AI for the greater good and providing open-source resources, OpenAI has since pivoted to a profit-generating model, underscored by a strategic partnership withMicrosoft. This e

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Mitra, Roshni, and Parthasarathi Mukhopadhyay. "Machine Learning Applications in Digital Humanities." DESIDOC Journal of Library & Information Technology 43, no. 04 (2023): 219–25. http://dx.doi.org/10.14429/djlit.43.04.19227.

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This research study explores the potential of machine learning tools and techniques to organize knowledge objects pertaining to various aspects of the gender spectrum (LGBTQIA+) in order to address the low-resource features of the LGBTQIA+ knowledge domain in Indian libraries. It aims to develop a semi-automated subject indexing system using an open source machine learning framework (Annif) and deploying the Homosaurus, a domain-specific vocabulary system. It develops programmatically a comprehensive training dataset from open-access bibliographic data sources with the help of data carpentry t

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Zhuo, Kevin Yinkit, Paul Kim, James Kovacic, et al. "Can Artificial Intelligence Treat My Urinary Tract Infections?—Evaluation of Health Information Provided by OpenAI™ ChatGPT on Urinary Tract Infections." Société Internationale d’Urologie Journal 5, no. 2 (2024): 104–7. http://dx.doi.org/10.3390/siuj5020018.

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Urinary tract infections (UTIs) are highly prevalent and have significant implications for patients. As internet-based health information becomes more relied upon, ChatGPT has emerged as a potential source of healthcare advice. In this study, ChatGPT-3.5 was subjected to 16 patient-like UTI queries, with its responses evaluated by a panel of urologists. ChatGPT can address general UTI questions and exhibits some reasoning capacity in specific contexts. Nevertheless, it lacks source verification, occasionally overlooks vital information, and struggles with contextual clinical advice. ChatGPT ho

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Polepaka, Sanjeeva, Varikuppala Prashanth Kumar, S. Umesh Chandra, Hema Nagendra Sri Krishna, and Gaurav Thakur. "Automated Caption Generation for Video Call with Language Translation." E3S Web of Conferences 430 (2023): 01025. http://dx.doi.org/10.1051/e3sconf/202343001025.

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In the modern era, virtual communication between individuals is common. Many people’s lives have been made simpler in a number of circumstances by providing subtitles, generating automated captions for social media videos, and language translation from a source language to a targeted language. Both are included, which offers face-to-face translated captions during video conversations. React is used for application development. To send the data, socket programming is utilized. Context is understood and translated using Google translate API and speech recognition modules. With OpenAI and Whisper

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Li, Baolin, Yankai Jiang, and Devesh Tiwari. "Carbon in Motion: Characterizing Open-Sora on the Sustainability of Generative AI for Video Generation." ACM SIGEnergy Energy Informatics Review 4, no. 5 (2024): 160–65. https://doi.org/10.1145/3727200.3727224.

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The rapid rise of generative AI (GenAI) technologies has brought innovative video generation models like OpenAI's Sora to the forefront, but these advancements come with significant sustainability challenges due to their high carbon footprint. This paper presents a carbon-centric case study on video generation, providing the first systematic investigation into the environmental impact of this technology. By analyzing Open-Sora, an open-source text-to-video model inspired by OpenAI Sora, we identify the iterative diffusion denoising process as the primary source of carbon emissions. Our finding

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Thèses sur le sujet "OpenAI Source"

Sathre, Paul Daniel. "On the Complexity of Robust Source-to-Source Translation from CUDA to OpenCL." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/52631.

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The use of hardware accelerators in high-performance computing has grown increasingly prevalent, particularly due to the growth of graphics processing units (GPUs) as general-purpose (GPGPU) accelerators. Much of this growth has been driven by NVIDIA's CUDA ecosystem for developing GPGPU applications on NVIDIA hardware. However, with the increasing diversity of GPUs (including those from AMD, ARM, and Qualcomm), OpenCL has emerged as an open and vendor-agnostic environment for programming GPUs as well as other parallel computing devices such as the CPU (central processing unit), APU (accelerat

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Amini, Mehdi. "Transformations de programme automatiques et source-à-source pour accélérateurs matériels de type GPU." Phd thesis, Ecole Nationale Supérieure des Mines de Paris, 2012. http://pastel.archives-ouvertes.fr/pastel-00958033.

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Depuis le début des années 2000, la performance brute des cœurs des processeurs a cessé son augmentation exponentielle. Les circuits graphiques (GPUs) modernes ont été conçus comme des circuits composés d'une véritable grille de plusieurs centaines voir milliers d'unités de calcul. Leur capacité de calcul les a amenés à être rapidement détournés de leur fonction première d'affichage pour être exploités comme accélérateurs de calculs généralistes. Toutefois programmer un GPU efficacement en dehors du rendu de scènes 3D reste un défi.La jungle qui règne dans l'écosystème du matériel se reflète d

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Sohanghpurwala, Ali Asgar Ali Akbar. "OpenPR: An Open-Source Partial Reconfiguration Tool-Kit for Xilinx FPGAs." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/36348.

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The Xilinx Partial Reconfiguration tool kits have been instrumental for performing a wide variety of research on Xilinx FPGAs. These tool kits provide a methodology for creating rectangular partial reconfiguration modules that can be swapped in and out of a static baseline design with one or more PR slots. This thesis presents a new PR toolkit called OpenPR that, for starters, provides similar functionality to the Xilinx PR tool kits. The distinguishing feature of this toolkit is that it is being released as open source, and is intended to be customizable to the needs of researchers. OpenPR ha

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Martinez, Arroyo Gabriel Ernesto. "Cu2cl: a Cuda-To-Opencl Translator for Multi- and Many-Core Architectures." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/34233.

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The use of graphics processing units (GPUs) in high-performance parallel computing continues to steadily become more prevalent, often as part of a heterogeneous system. For years, CUDA has been the de facto programming environment for nearly all general-purpose GPU (GPGPU) applications. In spite of this, the framework is available only on NVIDIA GPUs, traditionally requiring reimplementation in other frameworks in order to utilize additional multi- or many-core devices. On the other hand, OpenCL provides an open and vendor-neutral programming environment and run-time system. With implementatio

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Saà-Garriga, Albert. "Automatic source code adaptation for heterogeneous platforms." Doctoral thesis, Universitat Autònoma de Barcelona, 2016. http://hdl.handle.net/10803/399986.

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Jiang, Yi. "Design and implementation of tool-chain framework to support OpenMP single source compilation on cell platform." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 83 p, 2008. http://proquest.umi.com/pqdweb?did=1459924771&sid=29&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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Jelena, Tekić. "Оптимизација CFD симулације на групама вишејезгарних хетерогених архитектура". Phd thesis, Univerzitet u Novom Sadu, Prirodno-matematički fakultet u Novom Sadu, 2019. https://www.cris.uns.ac.rs/record.jsf?recordId=110976&source=NDLTD&language=en.

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Предмет  истраживања  тезе  је  из области  паралелног  програмирања,имплементација  CFD  (Computational Fluid  Dynamics)  методе  на  вишехетерогених  вишејезгарних  уређаја истовремено.  У  раду  је  приказанонеколико  алгоритама  чији  је  циљ убрзање  CFD  симулације  на персоналним  рачунарима.  Показано је  да  описано  решење  постиже задовољавајуће  перформансе  и  на HPC  уређајима  (Тесла  графичким ка

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Carohl, Qvist Amanda. "IOT inom hemautomation : Jämförande av open-source kontrollers." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-18922.

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Internet Of Things (IoT) och hemautomation innebär möjligheten att koppla upp diverse enheter i ett hem gentemot internet, som därefter har som mål att underlätta och göra konsumenters vardag mer bekvämt. Hemautomation kan exempelvis handla om att låsa dörrar och tända lampor från en enda enhet (kontrollern), vilket underlättar då konsumenten inte behöver gå till vardera enhet för att utföra önskade aktiviteter. Kontrollers är den del av ett IoT-system inom hemautomation som agerar gränssnittet mellan konsumenten och enheterna.Open-source erbjuder konsumenter ett mer fritt nyttjande av produkt

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Vladimir, Lončar. "Hybrid parallel algorithms for solving nonlinear Schrödinger equation." Phd thesis, Univerzitet u Novom Sadu, Prirodno-matematički fakultet u Novom Sadu, 2017. https://www.cris.uns.ac.rs/record.jsf?recordId=104931&source=NDLTD&language=en.

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Numerical methods and algorithms for solving of partial differential equations, especially parallel algorithms, are an important research topic, given the very broad applicability range in all areas of science. Rapid advances of computer technology open up new possibilities for development of faster algorithms and numerical simulations of higher resolution. This is achieved through paralleliza-tion at different levels that  practically all current computers support.In this thesis we develop parallel algorithms for solving one kind of partial differential equations known as nonlinear Schr&

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Cardoso, José Ricardo Ferreira. "Desenvolvimento de Estrutura Robótica para Aquisição e Classificação de Imagens (ERACI) de Lavoura de Cana-de-Açúcar /." Jaboticabal, 2020. http://hdl.handle.net/11449/192961.

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Orientador: Carlos Eduardo Angeli Furlani<br>Resumo: A agricultura digital tem contribuído com a melhoria da eficiência na aplicação de insumos ou no plantio em local pré-determinado, resultando no aumento da produtividade. Nesta realidade a aplicação de técnicas de Processamento de Imagens Digitais, bem como a utilização de sistemas que utilizam a Inteligência Artificial, tem ganhado cada vez mais a atenção de pesquisadores que buscam a sua aplicação nos mais diversos meios. Com o objetivo de desenvolver um sistema robótico que utiliza um sistema de visão computacional capaz analisar uma imag

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Livres sur le sujet "OpenAI Source"

Chris, DiBona, Ockman Sam, and Stone Mark, eds. Open sources: Voices from the open source revolution. O'Reilly, 1999.

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Stallman, Richard, Bob Young, Larry Wall, et al. Open sources: Voices from the open source revolution. O'Reilly, 1999.

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Davison, Andrew. Kinect open source programming secrets: Hacking the Kinect with OpenNI, NITE, and Java. McGraw-Hill, 2012.

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Thacker, J. Curtis. Open source software. Association of Research Libraries, 2014.

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Martin, Chusid, ed. Verdi's middle period, 1849-1859: Source studies, analysis, and performance practice. University of Chicago Press, 1997.

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Library and Information Technology Association (U.S.), ed. Open source software for libraries: An open source for libraries collaboration. LITA, 2002.

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Bisson, Casey. Open-source software for libraries. ALATechSource, 2007.

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Priti Suri & Associates. Open source and the law. LexisNexis Butterworths, 2006.

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Institute, Pennsylvania Bar. Open source software licensing. Pennsylvania Bar Institute, 2007.

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Institute, Pennsylvania Bar, ed. Open source software licensing. Pennsylvania Bar Institute, 2008.

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Chapitres de livres sur le sujet "OpenAI Source"

Löw, Patrick, Marie Westerdick, Klara Groß-Elixmann, and Dirk Burdinski. "Diversitätsorientiert lehren mit einer Open Source- Lösung für Medientranskripte (astAV)." In Hochschulbildung: Lehre und Forschung. transcript Verlag, 2024. http://dx.doi.org/10.14361/9783839469385-014.

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Das Programm astAV (automatic speech recognition toolkit for Audio and Video) ist eine Open Source-Lösung zur Transkript- und Untertitelerstellung für Audio- und Videodateien. astAV wurde im Jahr 2020 als studentisches Projekt erarbeitet und wird seit 2021 kooperativ weiterentwickelt. Im Beitrag wird diskutiert, wie eine umfassende Digitialisierungsinitiative für Untertitelung diversitätsgerecht sowie ressourceneffizient umgesetzt werden kann. Die Genese des Programms verdeutlicht, wie die Gestaltung digitaler Kulturen an Hochschulen maßgeblich auch durch globale Schlüsselereignisse beeinfluss

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Tabuchi, Akihiro, Masahiro Nakao, and Mitsuhisa Sato. "A Source-to-Source OpenACC Compiler for CUDA." In Euro-Par 2013: Parallel Processing Workshops. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54420-0_18.

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González-Barahona, Jesús M., Daniel Izquierdo-Cortázar, Gregorio Robles, and Mario Gallegos. "Code Review Analytics: WebKit as Case Study." In Open Source Software: Mobile Open Source Technologies. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55128-4_1.

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Teixeira, Jose, and Joni Salminen. "Open-Source Software Entrepreneurial Business Modelling." In Open Source Software: Mobile Open Source Technologies. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55128-4_10.

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Janes, Andrea, Tadas Remencius, Alberto Sillitti, and Giancarlo Succi. "Towards Understanding of Structural Attributes of Web APIs Using Metrics Based on API Call Responses." In Open Source Software: Mobile Open Source Technologies. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55128-4_11.

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Georgiev, Anton B., Alberto Sillitti, and Giancarlo Succi. "Open Source Mobile Virtual Machines: An Energy Assessment of Dalvik vs. ART." In Open Source Software: Mobile Open Source Technologies. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55128-4_12.

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Janczukowicz, Ewa, Ahmed Bouabdallah, Arnaud Braud, Gaël Fromentoux, and Jean-Marie Bonnin. "Improving Mozilla’s In-App Payment Platform." In Open Source Software: Mobile Open Source Technologies. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55128-4_13.

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Armuelles Voinov, Iván, Aidelen Chung Cedeño, Joaquín Chung, and Grace González. "A Performance Analysis of Wireless Mesh Networks Implementations Based on Open Source Software." In Open Source Software: Mobile Open Source Technologies. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55128-4_14.

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Koo, José M., Juan P. Espino, Iván Armuelles, and Rubén Villarreal. "Use of Open Software Tools for Data Offloading Techniques Analysis on Mobile Networks." In Open Source Software: Mobile Open Source Technologies. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55128-4_15.

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Teixeira, Jose, and Abayomi Baiyere. "Crafting a Systematic Literature Review on Open-Source Platforms." In Open Source Software: Mobile Open Source Technologies. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55128-4_16.

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Actes de conférences sur le sujet "OpenAI Source"

Gôlo, Marcos P. S., Adriel L. V. Mori, William G. Oliveira, et al. "On the use of Large Language Models to Detect Brazilian Politics Fake News." In Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2024. https://doi.org/10.5753/eniac.2024.245119.

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Machine learning methods are proposed to mitigate the spread of fake Brazilian news about politics so as not to harm society. Supervised algorithms are explored, requiring labeled news to train. However, labeling a high volume of news can be complex, onerous, time-consuming, error-prone, and costly. Hence, large language models (LLMs) have been used to detect fake news once LLMs are unsupervised methods that can play the role of classifiers. Most fake news detection studies explore the OpenAI LLMs (require payment) and lack an empirical evaluation with other LLMs. However, several open-source

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Ou, Xusheng, and Rodrigo Onate. "Design and Implementation of a Stress-Relief Mobile Application: Utilizing OpenAI, Anonymous Chat, Gratefulness Lists, and Color Therapy to Reduce Suicide Rates." In 11th International Conference on Computer Science, Engineering and Information Technology. Academy & Industry Research Collaboration Center, 2024. http://dx.doi.org/10.5121/csit.2024.141413.

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This app is made to help reduce the high percentage of suicide [1]. The whole app is designed for easy use and fast stress relief. The overall idea is to share the problems anonymously that are causing the stress; therefore the user wouldn’t need to worry about any of the things being connected to the user’s personal life. Some systems I implemented to achieve this are OpenAI, anonymous chat, gratefulness list, and colored theme [2]. By researching color combinations that could help the brain relieve stress, I was able to use the color set to design the overall app. I created ten prompts that

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Vasilescu, Cristian, George Suciu, and Adrian Pasat. "A NEW METHOD TO HELP THE HUMAN RESOURCES STAFF TO FIND THE RIGHT CANDIDATES, BASED ON DEEP LEARNING." In eLSE 2019. Carol I National Defence University Publishing House, 2019. http://dx.doi.org/10.12753/2066-026x-19-170.

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The paper presents a new way of finding the internship candidates'opinion about the company they intend to work in. Candidates go to the company, and Human Resources staff outlines the company's main areas of activity. Afterwards, candidates are asked to express their views/opinions on each field of activity in a few sentences. These sentences are automatically analyzed using Artificial Intelligence (AI), namely Deep Learning (DL). In this case, the necessary analysis is the "Sentiment Analysis" which indicates how much the candidate likes or not to work in each field of activity, as a score i

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Young, Aaron, Jay Taves, Asher Elmquist, et al. "Enabling Artificial Intelligence Studies in Off-Road Mobility Through Physics-Based Simulation of Multi-Agent Scenarios." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-67070.

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Abstract We describe a simulation environment that enables the development and testing of control policies for off-road mobility of autonomous agents. The environment is demonstrated in conjunction with the design and assessment of a reinforcement learning policy that uses sensor fusion and inter-agent communication to enable the movement of mixed convoys of human-driven and autonomous vehicles. Policies are learned on rigid terrain and are subsequently shown to transfer successfully to hard (silt-like) and soft (snow-like) deformable terrains. The enabling simulation environment is developed

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Nahod, Bruno, and Perina Vuksa Nahod. "ARTIFICIAL INTELLIGENCE IN TERMINOLOGY PROCESSING: TESTING THE ROBUSTNESS OF A CUSTOM GPT." In 11th SWS International Scientific Conferences on ART and HUMANITIES - ISCAH 2024. SGEM WORLD SCIENCE, 2024. http://dx.doi.org/10.35603/sws.iscah.2024/fs11.21.

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Following the discontinuance of funding of the Croatian national term base � Struna (http://struna.ihjj.hr/) in 2019. we initiated the development of a new methodology for creating terminological collections independent of field experts' input for the initial terminological data. A possible solution to our problem of finding a compact and robust source for generating information in the early stages of processing terminology (the �raw definitions�) in various domains could be found in the publicly available AI language model created by OpenAI called ChatGPT-4. ChatGPT is a large language model

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Noever, David, and Matt Ciolino. "Professional Certification Benchmark Dataset: The First 500 Jobs for Large Language Models." In 8th International Conference on Software Engineering. Academy & Industry Research Collaboration, 2023. http://dx.doi.org/10.5121/csit.2023.131211.

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The research creates a professional certification survey to test large language models and evaluate their employable skills. It compares the performance of two AI models, GPT-3 and Turbo-GPT3.5, on a benchmark dataset of 1149 professional certifications, emphasizing vocational readiness rather than academic performance. GPT-3 achieved a passing score (>70% correct) in 39% of the professional certifications without fine-tuning or exam preparation. The models demonstrated qualifications in various computer-related fields, such as cloud and virtualization, business analytics, cybersecurity, ne

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Puttapirat, Pargorn, Haichuan Zhang, Yuchen Lian, et al. "OpenHI - An open source framework for annotating histopathological image." In 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2018. http://dx.doi.org/10.1109/bibm.2018.8621393.

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McParland, Charles. "OpenADR open source toolkit: Developing open source software for the Smart Grid." In 2011 IEEE Power & Energy Society General Meeting. IEEE, 2011. http://dx.doi.org/10.1109/pes.2011.6039816.

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Tochitsky, S. Ya. "High-power Ultrashort Pulse LWIR Lasers and Applications." In Mid-Infrared Coherent Sources. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/mics.2024.mtu3c.6.

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Advent of high-power, picosecond CO2 lasers opened new avenues in nonlinear optics and particle acceleration. Development of CO2 amplifiers of 0.3-3 ps pulses in the 4-16 μm range at a GW-TW power level is discussed.

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Li, Ruihan, Jingang Liang, Ding She, and Weijian Zhang. "High-Fidelity Depletion-Pebble-Flow Coupling Simulation of Pebble Bed Reactor HTR-PM." In 2024 31st International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/icone31-134641.

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Abstract The high-fidelity depletion and pebble-flow coupling simulation of pebble bed reactor is realized based on Monte Carlo (MC) and Discrete Element Method (DEM). An HTR-PM full scale model with 420,000 fuel pebbles is built using the open-source MC code OpenMC, and the pebble trails are obtained with the open-source DEM code LAMMPS. The OpenMC code is modified so that the model geometry can change from one depletion step to another, and thus can be coupled with pebble-flow calculation. To obtain the high-fidelity results, each fuel pebble is specified to be a single burnup-zone. The pebb

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Rapports d'organisations sur le sujet "OpenAI Source"

Li, Richard. DeepSeek: Revolutionising the AI industry. LegalOne Global Limited, 2025. https://doi.org/10.62436/a-1740063218021.

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Recently, DeepSeek, a Chinese artificial intelligence (AI) startup, has made headlines with its groundbreaking advancements in AI technology. Founded in 2023 by entrepreneur Liang Wenfeng, DeepSeek has quickly risen to prominence, challenging established AI giants like OpenAI and Google. DeepSeek, headquartered in Hangzhou, China, is known for its cost-efficient AI models and open-source approach, making advanced AI technology accessible to a wider range of businesses and developers. Open-source AI refers to systems whose source code, datasets, and model parameters are freely available for any

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Michelson, Brenda. Open Source Considerations. Patricia Seybold Group, 2005. http://dx.doi.org/10.1571/fw10-20-05cc.

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Reed III, Carl, and Arnulf Christl, eds. Open Source and Open Standards. Open Geospatial Consortium, Inc., 2011. http://dx.doi.org/10.62973/11-110.

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Aldrich, Garrett Allen, Soumya Dutta, and Jonathan Lee Woodring. OpenMC In Situ Source Convergence Detection. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1253484.

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Dennis, Brian R., Joel Allred, Charles N. Arge, et al. Open Source White Paper. National Academies Press, 2018. http://dx.doi.org/10.17226/25217_8.

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Rigdon, James. Snippet Open-Source Specification. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1762995.

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Pinto Bernal, Marisol, Adriana Salazar Cota, Julia Vieira De Andrade Dias Emendabili, et al. Open-Source Software Procurement. Inter-American Development Bank, 2025. https://doi.org/10.18235/0013512.

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This technical note covers the critical aspects of open-source software (OSS) procurement, including general procurement principles and best practices aligned with the policies for the procurement of goods, works, non-consulting services, and consulting services financed by the Inter-American Development Bank.

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Dover, Mike. Open Source and Energy Interoperability: Opportunities for Energy Stakeholders in Canada. The Linux Foundation, 2024. https://doi.org/10.70828/vlfn5091.

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The energy sector faces immense pressure to increase its supply while at the same time becoming greener and smarter. Open source software (OSS) can help speed up this transition in a number of ways, in particular by enabling the integration of distributed energy sources. How does OSS solve the issue of interoperability amongst these different energy sources? In a study prepared for Natural Resources Canada, LF Research investigated this research question in the context of the Canadian energy grid. From interviews with 17 experts working in energy grid modernization, this report explains the ma

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Hissam, Scott, Charles B. Weinstock, Daniel Plakosh, and Jayatirtha Asundi. Perspectives on Open Source Software. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada401728.

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Lacy, Susan Whitney, and Steven J. Plimpton. Open Source Software for HPC. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1462820.

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