Zhejiang University DeepSeek Series Lecture Courseware, Second Session (PDF File) – AI Tutorial Materials
"DeepSeek: The Full Arrival of the Intelligent Era and the New Normal of Human-Machine Collaboration" is written by Professor Sun Lingyun of Zhejiang University. It primarily explores the development of artificial intelligence in the intelligent era and its impact on human-machine collaboration models. Through analysis of human...
"Advantages of the DeepSeek Model: An Analysis from the Perspectives of Computing Power and Cost" is written by Professor Wang Zeke of the School of Computer Science at Zhejiang University. It primarily analyzes the advantages of the DeepSeek model from the perspectives of computing power and cost. It compares the DeepSeek model with mainstream international models...Large ModelThe paper discusses in detail DeepSeek's technological breakthroughs in system perception algorithm innovation, computing power optimization, training cost control, and responses to the US computing power ban.
DeepSeek:intelligent"The Full Arrival of the Era and the New Normal of Human-Machine Collaboration" is written by Professor Sun Lingyun of Zhejiang University, and mainly discusses...artificialintelligentexistintelligentThe development of the times and its impact on human-machine collaboration models. This is analyzed through...artificialintelligentThe evolution of the DeepSeek model, the new normal of human-machine collaboration, its current industry status, and its applications in education comprehensively demonstrate its role in driving...intelligentIts role in the arrival of the times.
GetAdvantages of the DeepSeek Model: An Analysis from the Perspective of Computing Power and Cost
DeepSeek:intelligentThe full arrival of the era and the new normal of human-machine collaboration
Original PDF fileScan the QR code to follow and reply: 20250221
Advantages of the DeepSeek Model: An Analysis from the Perspective of Computing Power and Cost
DeepSeek Model Performance Overview
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By comparing DeepSeek-V3 with other mainstream...Large Model(likeGPTThe performance of DeepSeek (including Llama-3.1, Qwen2.5, etc.) in various benchmark tests demonstrates its performance advantages. Special emphasis is placed on DeepSeek's performance in tests such as MMLU-Pro and GPQA-Diamond, as well as its outstanding capabilities in code generation and mathematical reasoning tasks.
Definition and Development of Computing Power
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This section provides a detailed introduction to the concept of computing power, including the differences between traditional and modern computing power, and the development history of computing power, from the early mainframe era to the modern era.artificialintelligentThe demand for and implementation of computing power have undergone tremendous changes in this era. The article also explores the relationship between computing power, storage power, and operational power.
artificialintelligentLarge Modelcomputing power requirements
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AnalysisartificialintelligentLarge ModelThe computational power requirements include the relationship between data volume, model parameter count, and computation frequency. This is addressed through Open...AIThe Scaling Laws, the article explainsLarge ModelThe computational power required for training is described, and specific calculation formulas and examples are used to illustrate the estimation method for computational power requirements.
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ExploredLarge ModelThe costs of training and inference include hardware costs (such as GPU selection), training time costs, and inference efficiency. This article compares the performance and cost of different hardware such as the Huawei 910B and NVIDIA H800, and proposes methods to reduce training costs through algorithm optimization.
DeepSeek's technological innovations
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This paper introduces the core technologies of the DeepSeek model, including the MoE architecture (Hybrid Expert Model), MLA (Multi-Head Latent Attention) technology, and the self-developed lightweight framework DualPipe. These technologies significantly reduce training and inference costs by reducing computation, optimizing memory usage, and improving communication efficiency.
Training Costs and Performance Optimizations of DeepSeek
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By comparing the training costs of DeepSeek-V3 with other models, the article demonstrates DeepSeek's advantage in cost control. The article points out that DeepSeek completes the task by activating a small number of parameters (such as 37B/671B), significantly reducing the cost per training iteration, and improving performance by optimizing inference efficiency.
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The United States discussed ChinaAIThe article discusses development restrictions, including export bans on high-end chips and HBM chip limitations. It then explains how DeepSeek overcomes these restrictions through technological innovations (such as FP8 mixed-precision training and knowledge distillation) to achieve "tactical penetration."
Future Prospects for DeepSeek
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For the futureartificialintelligentThe article provides a forward-looking perspective on DeepSeek's development, particularly how it can maintain competitiveness through technological innovation in the face of limited computing power. It predicts that with the improvement of domestic computing infrastructure and breakthroughs in technology, DeepSeek will achieve wider application and promotion.
GetAdvantages of the DeepSeek Model: An Analysis from the Perspective of Computing Power and Cost
DeepSeek:intelligentThe full arrival of the era and the new normal of human-machine collaboration
Original PDF fileScan the QR code to follow and reply: 20250221
DeepSeek:intelligentThe full arrival of the era and the new normal of human-machine collaboration
intelligentEvolution
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ReviewartificialintelligentThe development history of language models, from early models to today's large-scale language models.LLM(Specifically, from)GPT-1 toGPT-3, the amount of pre-trained data for the model increased significantly, resulting in stronger language generation and reasoning capabilities. The article also explores...Large ModelHow to learn human knowledge through massive amounts of data.
Human-machine collaboration
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This article discusses the new normal of human-machine collaboration, including three models: "assistant," "co-pilot," and "agent." Through specific case studies, it demonstrates the role of human-machine collaboration in improving work efficiency and optimizing decision-making processes, and explores its impact on career development and social structure.
Current status of the industry
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Analyzed the current situationartificialintelligentThe current state of industry development, including basic models,intelligentApplications andintelligentHardware advancements were discussed, with particular emphasis on DeepSeek's industry applications, such as integration with Baidu search, WeChat search, and the China Southern Power Grid.AIThe rapid growth of tools and their driving effect on various industries.
Education and Growth
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ExploredartificialintelligentIts applications in education include support for curriculum design, instructional management, and personalized learning. The article demonstrates this through specific case studies.AIThis paper discusses how to improve teaching efficiency and students' learning experience, and explores new models of human-computer collaboration in education.
DeepSeek's Technology and Applications
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This article details the technical features of the DeepSeek model, including its inference capabilities,MultimodalThe article highlights DeepSeek's advantages in processing and knowledge generation. It also demonstrates DeepSeek's practical application effects through specific scenarios such as mathematical reasoning and code generation.
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DiscussionartificialintelligentThe profound impact on society includes changes in work patterns, the emergence of new professions, and improvements in the quality of human life. The article cites relevant research, pointing out...AIThis could lead to shorter working hours and improved social welfare.
artificialintelligentEthics and Challenges
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ExploredartificialintelligentThe article addresses ethical challenges encountered during development, such as model transparency, decision-making bias, and data privacy. It also discusses how to address these challenges through technological means and social norms to ensure...artificialintelligentThe healthy development of [the economy/sector].
artificialintelligentFuture Outlook
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For the futureartificialintelligentThe article provides a forward-looking perspective on its development, including technological breakthroughs, industrial applications, and educational reforms. It specifically mentions...artificialintelligentIt highlights the potential of human-machine collaboration in improving work efficiency, creating new job opportunities, and driving social progress, and emphasizes its importance in the future development of society.
GetAdvantages of the DeepSeek Model: An Analysis from the Perspective of Computing Power and Cost
DeepSeek:intelligentThe full arrival of the era and the new normal of human-machine collaboration
Original PDF fileScan the QR code to follow and reply: 20250221