Bibliographies thématiques / DeepSeek

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Littérature scientifique sur le sujet « DeepSeek »

Auteur : Grafiati
Publié le 2 juin 2025
Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "DeepSeek"

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Tamez, Valdemar, and Gbolahan Solomon Osho. "AI Disruption at Scale: DeepSeek’s Open-Source Model and Its Macroeconomic Impact on Markets, Labor, and Global Growth." International Journal of Business Management and Finance Research 8, no. 3 (2025): 1–11. https://doi.org/10.53935/26415313.v8i3.398.

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This study explores the macroeconomic implications of DeepSeek, a Chinese artificial intelligence (AI) startup that disrupted the global AI landscape through the release of DeepSeek-R1, an open-source, cost-efficient large language model. Developed with significantly lower training costs and released under an MIT license, DeepSeek’s model rivaled proprietary offerings from Western firms like OpenAI and Google, triggering financial market turbulence and investor realignment. The study analyzes how DeepSeek’s innovation challenged prevailing norms in AI infrastructure, democratized access to adv
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Wu, Peiqian, and Yingze Zhu. "A Timely Quick Literature Review on the Deepseek in Chinese Publication." Chinese Studies Monthly 3, no. 1 (2025): 14–21. https://doi.org/10.70731/0h00wq42.

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The swift rise of DeepSeek—the Chinese generative artificial intelligence (AI) model that champions open‐source innovation—has ignited scholarly interests across frontiers. This timely quick review article derives from the analysis of 21 recent studies regarding DeepSeek and associated subjects t from the end of 2024 to date. Altogether, the literature reveals that DeepSeek not only upends existing models of AI development and deployment, but it also changes the economics of generative AI through an emphasis on open‐source collaboration, energy efficiency and people‐centered innovation. We the
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Meo, Sultan Ayoub, Farah A. Abukhalaf, Riham A. ElToukhy, and Kamran Sattar. "Exploring the role of DeepSeek-R1, ChatGPT-4, and Google Gemini in medical education: How valid and reliable are they?" Pakistan Journal of Medical Sciences 41, no. 7 (2025): 1887–92. https://doi.org/10.12669/pjms.41.7.12183.

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Objective: In recent years, Artificial Intelligence (AI) has led to rapid advancements in science, technology, industries, healthcare settings, and medical education. A Chinese-built large language model, DeepSeek-R1, inspires the scientific community as an affordable and open alternative to earlier established US-based AI models, ChatGPT-4 and Google Gemini 1.5 Pro. This study aimed to explore the role of “DeepSeek-R1, ChatGPT-4 and Google Gemini 1.5 Pro” and to assess the validity and reliability of these AI tools in medical education. Methods: The current cross-sectional study was performed
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Kotsis, Konstantinos T. "Comparing ChatGPT and DeepSeek in Addressing Misconceptions about Physics Concepts." European Journal of Contemporary Education and E-Learning 3, no. 2 (2025): 191–206. https://doi.org/10.59324/ejceel.2025.3(2).17.

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This study investigates the comparative effectiveness of ChatGPT and DeepSeek in addressing common misconceptions in physics education. Misconceptions such as the belief that "force is always required for motion" are prevalent among students, and this study highlights the importance of accurately addressing these misunderstandings to enhance learning outcomes. ChatGPT employs a multifaceted approach that leverages artificial intelligence to create interactive and responsive learning experiences. By analyzing common misunderstandings, ChatGPT tailors explanations that connect abstract physics c
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Kotsis, Konstantinos T. "Comparing ChatGPT and DeepSeek in Addressing Misconceptions about Physics Concepts." European Journal of Contemporary Education and E-Learning 3, no. 2 (2025): 191–206. https://doi.org/10.59324/ejceel.2025.3(2).17.

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This study investigates the comparative effectiveness of ChatGPT and DeepSeek in addressing common misconceptions in physics education. Misconceptions such as the belief that "force is always required for motion" are prevalent among students, and this study highlights the importance of accurately addressing these misunderstandings to enhance learning outcomes. ChatGPT employs a multifaceted approach that leverages artificial intelligence to create interactive and responsive learning experiences. By analyzing common misunderstandings, ChatGPT tailors explanations that connect abstract physics c
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Hayder, Wrya Anwar. "Highlighting DeepSeek-R1: Architecture, Features and Future Implications." International Journal of Computer Science and Mobile Computing 14, no. 2 (2025): 1–13. https://doi.org/10.47760/ijcsmc.2025.v14i02.001.

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Large language models have taken the central stage in artificial intelligence, but they confront challenges like high computational costs, strong limitations on scaling, and difficulty adapting to new tasks. In contrast, DeepSeek-R1, used extensively, addresses such issues using architecture insights, novel learning paradigms, and optimization approaches. In this paper, a high-level comparison is made of DeepSeek-R1 versus generic LLMs. In this article generic LLMs refer to popular models predating DeepSeek-R1, such as OpenAI's GPT-4, Meta's Llama, and Google's PaLM, which rely on other archit
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Sackmann, Christoph. "Deepseek vs. ChatGPT." VDI nachrichten 79, no. 05 (2025): 14. https://doi.org/10.51202/0042-1758-2025-05-14.

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李昌奎. "ChatGPT与DeepSeek-R1比较研究：架构、推理能力与应用场景分析A Comparative Study of ChatGPT and DeepSeek-R1: Analysis of Architecture, Reasoning Capabilities, and Application Scenarios". Theory and Practice of Social Science 7, № 2 (2025): 18–31. https://doi.org/10.6914/tpss.070202.

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人工智能技术的飞速发展推动了大语言模型（LLM）的不断进步。在众多LLM中，OpenAI推出的ChatGPT和DeepSeek-AI开发的DeepSeek-R1尤为引人注目。ChatGPT基于GPT-4架构，具备强大的自然语言理解能力和广泛的应用场景，而DeepSeek-R1则通过强化学习方法优化推理能力，在数学推理和编程任务中展现了强劲的竞争力。本文基于DeepSeek-R1的最新研究成果，全面对比ChatGPT与DeepSeek-R1在模型架构、训练方法、推理能力、应用场景及开放性等方面的差异。研究发现，ChatGPT依赖监督微调（SFT）和基于人类反馈的强化学习（RLHF），在自然语言处理任务上表现突出，而DeepSeek-R1更倾向于通过强化学习优化推理能力，尤其在数学推理、代码生成等任务上表现优异。此外，ChatGPT采用闭源策略，主要用于商业应用，而DeepSeek-R1则采取开源模式，为研究社区和开发者提供更大的灵活性。本文的研究结果为人工智能研究人员和开发者提供了重要参考，以期促进LLM技术的发展，并为未来的大模型优化提供新思路。 The rapid development of artificial intelligence has driven the continuous advancement of large language models (LLMs).
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Dr., Rahul Vishwanath Dandage. "A Comparative Analysis of ChatGPT and DeepSeek: Capabilities, Applications, and Future Directions ChatGPT &DeepSeek." International Journal of Innovative Science and Research Technology (IJISRT) 10, no. 2 (2025): 207–11. https://doi.org/10.5281/zenodo.14899162.

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The rapid advancement of artificial intelligence (AI) has led to the development of sophisticated language models that are transforming various industries. Among these, OpenAI's ChatGPT and DeepSeek's AI models have garnered significant attention due to their capabilities in natural language processing (NLP), machine learning (ML), and their applications across diverse domains. This paper presents a comprehensive comparison between ChatGPT and DeepSeek, focusing on their architectural differences, performance metrics, applications, and potential future directions. The study is based on a liter
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Chan, Lining, Xinjie Xu, and Kaiyang Lv. "DeepSeek-R1 and GPT-4 are comparable in a complex diagnostic challenge: a historical control study." International Journal of Surgery 111, no. 6 (2025): 4056–59. https://doi.org/10.1097/js9.0000000000002386.

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Background: Large language models (LLMs) have demonstrated potential in medical diagnostics, but their accuracy in complex cases remains a subject of investigation. DeepSeek-R1, an open-source model with advanced reasoning capabilities, has gained global attention. This study evaluates the diagnostic performance of DeepSeek-R1 compared to GPT-4 in complex clinical cases. Materials and methods: A historical control study was conducted using 100 clinicopathologic cases from the New England Journal of Medicine (NEJM), published between 18 August 2022, and 30 January 2025. Each case was processed
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Thèses sur le sujet "DeepSeek"

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Provost, Cameron Murray. "Age, growth, and sexual maturity of the deepsea skate, Bathyraja abyssicola." Thesis, Alaska Pacific University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10104548.

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<p>Research into the age, growth, and reproductive characteristics of chondrichthyan fishes has increased substantially over the past couple of decades. This study set out to estimate age deepsea skate, <i>Bathyraja abyssicola</i> using vertebral centra and caudal thorns, estimate length at age, and determine length at maturity. Sixty-three specimens of <i>B. abyssicola</i> (n=29 males; n=34 females) were taken on National Marine Fisheries Service bottom trawl surveys between 2001 and 2012. Information derived and structures collected from these samples included sex, maturity class, total leng
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Vennemann, Ingo Heinrich. "Bacteria standards of merluccius capensis / paradoxus (Cape Hake) and other deepsea whitefish products." Thesis, University of Pretoria, 1996. http://hdl.handle.net/20.500.11838/2007.

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Thesis (PhD (Microbiology))--University of Pretoria, 1996.<br>This study analysed the bacteria numbers of Hake products manufactured at 6 different levels of processing complexity, analyses were conducted at 20°C on Salt Water Agar (SWA) for a 48h incubation period. This enumeration method was suitable for indicating time and temperature related abuse in the processing system. This method was sensitive in indicating the level of processing complexity. The aerobic bacteria enumerations at 20°C (SWA) were compared to the current EU/FDA (European Union/Federal Drug Administration USA) sta
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Shore, Philip. "Sunset over the Red Ensign : the decline of the British deepsea shipping 1945-89." Thesis, University of Kent, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.236856.

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This thesis investigates the decline of the British deepsea merchant fleet over the period 1945-1989, a decline evident in both relative terms against its major competitors and from the mid-1970s in a dramatic fall in tonnage of the British-owned fleet. For the purposes of analysing the industry's poor performance, it is necessary to divide the period into three distinct phases: post-war reconstruction without radical innovation (1945-65); rapid technological and market developments (1966-73); and severe, prolonged depression (1974-89). Methodologically, therefore, explanations valid in one ph
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Davids, Natasha. "An investigation into the enzymatic activity of deepsea actinobacteria in decolourising crystal violet dye." Master's thesis, Faculty of Engineering and the Built Environment, 2019. http://hdl.handle.net/11427/31145.

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Crystal Violet (CV) decolourising deep-sea actinobacteria could provide a great source of novel redox biocatalysts that can be used in various applications such as removal of triphenylmethane dyes from contaminated wastewater and soil, degradation of aromatic environmental pollutants, biotransformation of antimicrobial agents and degradation of xenobiotics. CV is a triphenylmethane dye that has various applications, including use in medical, research and industrial applications, but its release into the environment poses a threat to aquatic life as it has characteristics of a biocide. Only a l
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Sun, Xiaoxu. "Biodegradation of Macondo oil by aerobic hydrocarbon-degrading bacteria in the water column and deepsea sediments of the northern Gulf of Mexico." Thesis, Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/53102.

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Previous studies have come to contrasting conclusions regarding nutrient limitation of hydrocarbon biodegradation in the Gulf of Mexico, and rate measurements are needed to support oil plume modeling. Thus, this study investigates the rates and controls of biodegradation in seawater and sediments, largely in the deepsea. Sediment and seawater samples were collected on research cruises in the northern Gulf from 2012 to 2014, where the seafloor was impacted by the Deepwater Horizon (DWH) oil spill. Biodegradation was clearly limited by both nitrogen and phosphorus availability in surface waters
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De, Luca Michael P. "Recommendations for Amelioration of Legal and Environmental Concerns about Mining of Deepsea Deposits of Polymetallic Sulfides." W&M ScholarWorks, 1986. https://scholarworks.wm.edu/etd/1539617569.

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Rakotonirina, Itsaka. "Efficient verification of observational equivalences of cryptographic processes : theory and practice." Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0052.

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Cette thèse porte sur l’analyse des protocoles cryptographiques. Ce sont des suites d’instructions permettant d’interagir à distance avec un interlocuteur tout en protégeant le contenu sensible de la communication d’une potentielle tierce partie malveillante. Des cas classiques où la confidentialité et l’intégrité de la communication sont critiques sont, parmi d’autres, les paiements et services de santé en ligne, ou le vote électronique. Nous étudions les notions de sécurité définies techniquement par des équivalences observationnelles (ce qui inclut, entre autres, la confidentialité, l’anony
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Almeida, Mariana Dias. "Deep-sea suprabenthos across the Mediterranean: the influence of environmental drivers on biodiversity and community structure." Doctoral thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/22230.

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Doutoramento em Biologia<br>The Mediterranean Sea is characterized by homeothermia (~14ªC) and a gradient of increasing oligotrophy from west to east which makes it of particular interest to study distribution patterns of deep-sea fauna. Particular oceanographic processes and topographic characteristics vary in different regions. The northwestern Mediterranean, where the shelf is deeply incised by numerous submarine canyons, is typically more productive and it is also subjected to an intense anthropogenic pressure mainly by deep-sea bottomtrawling fisheries. The suprabenthos, loosely d
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Wilson, Ian David. "The application of artificial intelligence techniques to the deep-sea container-ship cargo stowage problem." Thesis, University of South Wales, 1997. https://pure.southwales.ac.uk/en/studentthesis/the-application-of-artificial-intelligence-techniques-to-the-deepsea-containership-cargo-stowage-problem(3b7b5338-5b76-4fe6-8a61-e9704940d23f).html.

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Container-ships are vessels possessing an internal structure that facilitates the handling of containerised cargo. At each port along the journey of a container-ship, containers destined for that port are unloaded, and some containers destined for subsequent ports are loaded. Determining a viable configuration of containers that facilitates this unloading and loading, in a cost-effective way, constitutes the deepsea container-ship stowage problem. The work of determining a stowage configuration for a container-ship, on leaving a port, is performed by human stowage planners. The success of a co
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Lin, Hsiang-Ho, and 林庠和. "DeepSleep: IEEE 802.11 Enhancement for Energy-Harvesting Machine-to-Machine Communications." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/47821005712081771407.

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碩士<br>國立臺灣大學<br>電機工程學研究所<br>100<br>As future Machine-to-Machine (M2M) communications aiming at supporting wireless networks with large coverage and device number, energy-efficient M2M communication design becomes important. To deploy an M2M network which can operate permanently, a large number of M2M devices will be powered by energy harvesting module, which is an emerging technology by which M2M devices can harvest energy from external sources, instead of being powered by batteries. Our research focuses on enhancing WiFi-based communications with energy-harvesting power source, as IEEE 802.11
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Livres sur le sujet "DeepSeek"

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Hall, Gwen Kendall. Deepstep Hall family tree: Deepstep, Washington County, Georgia. G.K. Hall, 1995.

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Wright, C. D. Deepstep come shining. Copper Canyon Press, 1998.

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A, Zetlin Christine, Chang Sukwoo, and Northeast Fisheries Science Center (U.S.), eds. Essential fish habitat source document: Red deepsea crab, Chaceon (Geryon) quinquedens, life history and habitat characteristics. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Northeast Region, Northeast Fisheries Science Center, 2001.

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Shortill, Michael. Deepsea Adventure. Tellwell Talent, 2021.

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Shortill, Michael. Deepsea Adventure. Tellwell Talent, 2021.

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Shtia, Feda, and Mona Nagy. Deepsea Diver. Unknown Publisher, 2021.

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A history of Deepstep United Methodist Church, Deepstep, Georgia, 1825-1995. Reprint Co, 1997.

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Bizzy Bear: Deepsea Diver. Nosy Crow Ltd, 2001.

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Editions, Insight. James Cameron's Deepsea Challenger. Insight Editions, 2019.

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James Cameron, Frank Lotito, Lachlan Woods, Paul Henri. James Cameron's Deepsea Challenge. 2014.

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Chapitres de livres sur le sujet "DeepSeek"

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Wei, Jie, Wenchen Yang, Yuhui Zhang, Wenhong Wei, and Yu Ma. "LLM-PSO: A Semantically Enhanced UAV Path Planning Algorithm Based on DeepSeek." In Communications in Computer and Information Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-9955-1_27.

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Bhavsar, Nisarg, Abhinav Thakur, Amrit Lal Singh, and Ashish Patwa. "RTaC: A Generalized Framework for Tooling." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65794-8_5.

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AbstractIn the rapidly evolving domain of Large Language Models (LLMs), integrating tool usage remains a formidable challenge, particularly when it comes to the dynamic selection and sequencing of tools in response to complex queries. Addressing this, we introduce Reimagining Tooling as Coding (RTaC), a groundbreaking framework that transforms tool usage into a coding paradigm. Inspired by recent advancements [18], RTaC conceptualizes tools as Python functions within a dual-agent system [2], significantly enhancing LLMs’ tool usage efficiency. Our comprehensive experiments reveal that RTaC ena
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Bouchra, Aadil, Khai Hanane, and Lahby Mohamed. "Evaluating ChatGPT and DeepSeek for Science Education: A Comparative Analysis of AI-Powered Learning Assistants." In Lecture Notes on Data Engineering and Communications Technologies. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-98476-1_34.

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Du, Junlei, Qinhua Zheng, and Shuang Li. "Leveraging Large Reasoning Models for Test Equating Without Anchor Items: A Simulation Study with O1 and DeepSeek-R1." In Communications in Computer and Information Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-99264-3_17.

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Cheval, Vincent, Steve Kremer, and Itsaka Rakotonirina. "The DEEPSEC Prover." In Computer Aided Verification. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96142-2_4.

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Bühler, Marcel C., Andrés Romero, and Radu Timofte. "DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution." In Computer Vision – ACCV 2020. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69538-5_38.

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Lei, Shuiwang. "Opportunities and Challenges: Strategic Analysis of Libraries in the Context of DeepSeek’s Ascendancy." In Advances in Social Science, Education and Humanities Research. Atlantis Press SARL, 2025. https://doi.org/10.2991/978-2-38476-422-8_14.

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Das, Shuvrajeet, Rapti Chaudhuri, and Suman Deb. "DeepSeg: A Decision Support System for Enhanced Segmentation of Human Tissue Image." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-7571-2_5.

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Zhu, Wenrui, Qiankun Li, Debin Liu, and Zengfu Wang. "DeepSweep: Real-Time Multi-View 3D Pose Estimation Via Cross-View Deep Matching and Plane Sweeping." In Lecture Notes in Computer Science. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-8795-1_35.

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Mukesh, Prasheetha S. "DEEPSEEK- The Chinese AI." In Emerging Trends in Social Work Profession: Navigating Challenges and Seizing Opportunities. ROYAL BOOK PUBLISHING, 2025. https://doi.org/10.26524/royal.228.41.

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DeepSeek epitomizes a state-of-the-art advancement in artificial intelligence, particularly within the realms of deep learning and data analytics. This paper elucidates the architecture, functionalities, and applications of DeepSeek, an advanced AI model engineered to augment data interpretation, pattern recognition, and decision-making processes. By harnessing cutting-edge neural network methodologies, DeepSeek exhibits unparalleled proficiency in managing intricate datasets, delivering actionable insights, and optimizing predictive accuracy across diverse sectors, including healthcare, finan
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Actes de conférences sur le sujet "DeepSeek"

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Zhang, Zhenkai, Yujie Gao, and Dong Chen. "Exploring and Enhancing Advanced MoE Models: From Deepspeed-MoE to DeepSeek-V3." In 2025 IEEE 6th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT). IEEE, 2025. https://doi.org/10.1109/ainit65432.2025.11035928.

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Shakya, Ronas, Farhad Vadiee, and Mohammad Khalil. "A Showdown of ChatGPT vs DeepSeek in Solving Programming Tasks." In 2025 International Conference on New Trends in Computing Sciences (ICTCS). IEEE, 2025. https://doi.org/10.1109/ictcs65341.2025.10989361.

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Vučićević, Nemanja, Marina Svičević, and Aleksandar Milenković. "Challenging Deepseek-R1 with Serbian High School Math Competition Problems." In Sinteza 2025. Singidunum University, 2025. https://doi.org/10.15308/sinteza-2025-274-280.

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Bao, Shenghui, Xiaoping Sun, Jun Liu, and Guangni Li. "Robust Hotel Booking Dialogues with Hybrid Intent and DeepSeek-V3." In 2025 7th International Conference on Information Science, Electrical and Automation Engineering (ISEAE). IEEE, 2025. https://doi.org/10.1109/iseae64934.2025.11042092.

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P, Matan, P. Velvizhy, and P. Steffy Sherly. "Optimized Story Generation using DeepSeek LLM with Supervised Fine-Tuning." In 2025 2nd International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE). IEEE, 2025. https://doi.org/10.1109/rmkmate64874.2025.11042725.

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Phogat, Rupesh, Dheeraj Arora, Pawan Singh Mehra, Jatin Sharma, and Diksha Chawla. "A Comparative Study of Large Language Models: ChatGPT, DeepSeek, Claude and Qwen." In 2025 3rd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT). IEEE, 2025. https://doi.org/10.1109/dicct64131.2025.10986449.

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Wang, Yan, Ke Liu, Feng-Bo Xu, et al. "Construction of Network and Data Security Integrated Operation Platform Based on DeepSeek." In 2025 IEEE 6th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT). IEEE, 2025. https://doi.org/10.1109/ainit65432.2025.11035361.

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Li, Na, Yimei Xu, Jiafan Luo, and Jiaxin Fang. "AI-Driven Test Case Generation Based on DeepSeek-Chat Large-Language Model." In 2025 5th International Symposium on Computer Technology and Information Science (ISCTIS). IEEE, 2025. https://doi.org/10.1109/isctis65944.2025.11065082.

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Raza, Muhammad Raheel, Shahbaz Ahmed, Fahad Ahmed Khokhar, and Asaf Varol. "Exploring the Potential of DeepSeek-R1 Model in Transforming Healthcare Solutions: An Overview." In 2025 13th International Symposium on Digital Forensics and Security (ISDFS). IEEE, 2025. https://doi.org/10.1109/isdfs65363.2025.11012057.

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Elsayed, Khloud Khaled, Ensaf Hussein Mohamed, and Walaa Medhat. "Multi-Label Emotion Detection in Dialectal Arabic and English Using DeepSeek and SILMA AI." In 2025 15th International Conference on Electrical Engineering (ICEENG). IEEE, 2025. https://doi.org/10.1109/iceeng64546.2025.11031275.

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Rapports d'organisations sur le sujet "DeepSeek"

1

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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Hays, Seth. Asian democracies in doubt about DeepSeek. East Asia Forum, 2025. https://doi.org/10.59425/eabc.1741384800.

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FIRAT, Mehmet. DeepSeek: A Reality Check Point in AI Wars. ResearchHub Technologies, Inc., 2025. https://doi.org/10.55277/researchhub.zse5i7cz.1.

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Hine, Emmie. China’s DeepSeek is not the end of Silicon Valley. East Asia Forum, 2025. https://doi.org/10.59425/eabc.1744797600.

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Baker, D. A., W. L. Templeton, and J. K. Soldat. Review and evaluation of principles used in the estimation of radiation doses associated with the practice of deepsea disposal of low-level radioactive waste. Office of Scientific and Technical Information (OSTI), 1985. http://dx.doi.org/10.2172/5351640.

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PUN, Ngai, Anfan CHEN, Shuheng JIN, Xinmiao SONG, Yang ZHOU та Zhongkai QIAN. 數繪搵工 : 香港就業市場的大數據系列報告之一. 嶺南大學, 2025. https://doi.org/10.14793/ccrd_report_07.

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面對中美貿易戰爭時代的經濟格局，深入洞察香港勞動力市場的結構性特徵、最新動態與潛在挑戰，對特區政府制定前瞻性的經濟、產業及社會政策至關重要。本研究旨在通過大數據分析，精準描繪當前香港網上招聘市場的全貌。研究團隊嚴格篩選了十個涵蓋綜合、行業垂直及靈活用工的高流量求職平台，利用網絡爬蟲技術系統性搜集了於2024年12月1日至2025年1月9日期間發佈的147,026條招聘廣告。經數據清洗（剔除重複及無效數據）後，最終納入142,901條有效數據。藉助先進的大型語言模型（Deepseek V3）進行自動化文本挖掘，本研究高效提取並分析了職位屬性、技能要求、薪酬福利等多維度關鍵信息，為揭示市場趨勢奠定了堅實的實證基礎。主要研究發現如下： 一、整體市場格局：傳統主導、需求兩極、透明度堪憂 1. 結構固化，服務業驅動顯著： 香港招聘市場需求高度集中於傳統服務業（進出口/批發零售、金融保險、住宿膳食佔逾四成），地域上亦極度聚集於核心商業區。 職位供給以全職（逾八成）、初級崗位（佔四成）為主，輔以相當數量的高級職位（逾兩成），呈現「啞鈴型」職級結構。 工作內容則由管理與服務類（合計逾六成）主導。這反映了香港既有的服務型經濟結構。 2. 用工市場在技能需求上呈現「實用主義」與「兩極分化」。 學歷與經驗要求差異懸殊，既有大量低門檻崗位（近六成無需大專以上學歷），也穩定需求高學歷專才（近三成要求大學或以
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