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It summarizes the multi-stage training approach combining RL with human feedback, supervised fine-tuning, and possible distillation, and evaluates stated claims about performance and low training cost. The primer also discusses missing technical details, reported allegations of data theft, benchmarks, and overall implications for AI efficiency and infrastructure trade-offs.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":30,"@type":76,"position":81},"https://docshare.wps.com/document/technology/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/a-technical-primer-on-deepseek-overview-first-take-summary/638901/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/a-technical-primer-on-deepseek-overview-first-take-summary/638901.png","ImageObject",300,407,{"name":92,"@type":93},"Maya Linwood","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-26","2026-10-22",true,{"@type":102,"interactionType":103,"userInteractionCount":8},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What models does the primer focus on?","Question",{"text":112,"@type":113},"The primer centers on DeepSeek-R1, described as a 671B model, and situates it in the broader DeepSeek naming that may refer to multiple related algorithms.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How does DeepSeek-R1 training combine different techniques?",{"text":117,"@type":113},"It describes a multi-stage pipeline using reinforcement learning with human feedback and supervised fine-tuning, with possible distillation from a larger teacher model.",{"name":119,"@type":110,"acceptedAnswer":120},"Why are DeepSeek’s cost and efficiency claims difficult to verify?",{"text":121,"@type":113},"The document notes that the stated $6 million training cost is derived from an older base model and may represent a snapshot of a single run, while other missing details—such as datasets and implementation—limit verification.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},638901,1793030773,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":29,"category_name":30,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":8,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145},962084928432,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","A Technical Primeron DeepSeek  \nTable of Contents  \nOverview .................................................................................................................................................2  \nFirst Take Summary............................................................................................................................3  \nClaim .........................................................................................................................................................4  \nDeepSeek Models ...............................................................................................................................5  \nArchitecture...........................................................................................................................................6  \nDeepSeek-R1 Reinforcement Learning with Human Feedback ........................................7  \nPipeline ........................................................................................................................................... 7  \nReinforcement Learning...........................................................................................................8  \nDistillation and Smaller Models .....................................................................................................9  \nComputation .........................................................................................................................................11  \nCost ................................................................................................................................................ 11  \nScheduling ................................................................................................................................... 11  \nCombination of Efforts ............................................................................................................. 11  \nPerformance ........................................................................................................................................ 12  \nAssessment of Technical Claims.................................................................................................14  \nTraining Costs ............................................................................................................................ 14  \nBenchmarks................................................................................................................................ 14  \nAllegations of Data Theft and the Bigger Picture .................................................................15  \nConclusion............................................................................................................................................16  \nAuthors ..................................................................................................................................................16  \nCopyright © 2025 Booz Allen Hamilton Inc. 1  \nOverview  \n• DeepSeek is a China-based AI startup that has leda well-funded effort to develop advanced large language models (LLM) using a large team (100+) of experienced developers. Public interest stems from their newest models being released for free with what the company claims is performance comparable to OpenAI, Anthropic, and Meta LLMs ata fraction of the price and training time.  \n• “DeepSeek” is conflated with multiple algorithms of the same namesake, but it is the DeepSeek-R1 LLM—a 671B model—that is the focus of media attention. It has been trained with a multi-stage pipeline of Reinforcement Learning (RL), Supervised Fine-Tuning (SFT), and possibly distillation methods to learn from a larger teacher model.  \n• The cost to train DeepSeek is publicized as $6 million, which is derived from the older, DeepSeek-V3 base model. It is not easy to verify  \nthe cost, and, at face value, it likely is a snapshot of a single, pristine training run. Their paper makes this explicit, but it has b","cbCainp1NqGDfcab","https://ap.wps.com/l/cbCainp1NqGDfcab","pdf",2719361,18,"English","# Overview\n## First Take Summary\n## Claim\n## DeepSeek Models\n## Architecture\n## DeepSeek-R1 Reinforcement Learning with Human Feedback\n## Assessment of Technical Claims\n## Allegations of Data Theft and the Bigger Picture\n## Conclusion","[{\"question\":\"What models does the primer focus on?\",\"answer\":\"The primer centers on DeepSeek-R1, described as a 671B model, and situates it in the broader DeepSeek naming that may refer to multiple related algorithms.\"},{\"question\":\"How does DeepSeek-R1 training combine different techniques?\",\"answer\":\"It describes a multi-stage pipeline using reinforcement learning with human feedback and supervised fine-tuning, with possible distillation from a larger teacher model.\"},{\"question\":\"Why are DeepSeek’s cost and efficiency claims difficult to verify?\",\"answer\":\"The document notes that the stated $6 million training cost is derived from an older base model and may represent a snapshot of a single run, while other missing details—such as datasets and implementation—limit verification.\"}]","A Technical Primer on DeepSeek - Overview - First Take Summary | PDF",1792700309,45]