[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-202837-105":59,"doc-detail-202837-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","professional-certification-benchmark-dataset-the-first-500-jobs-for-large-language-models","Professional Certification Benchmark Dataset - The First 500 Jobs for Large Language Models","","The research builds a professional certification benchmark dataset to evaluate large language models on employable, job-relevant competencies rather than purely academic ability. It tests GPT-3 and Turbo-GPT3.5 on 1149 professional certifications using 6137 multiple-choice questions and includes synthetically constructed skill panels. GPT-3 reaches a passing level on 39% of certifications, while Turbo-GPT3.5 attains perfect performance on OSCP and strong results on FINRA Series 6. Findings also indicate capability in customer-service and sensory/experience-based tasks.",{"@graph":69,"@context":123},[70,84,106],{"@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":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/professional-certification-benchmark-dataset-the-first-500-jobs-for-large-language-models/202837/",{"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/professional-certification-benchmark-dataset-the-first-500-jobs-for-large-language-models/202837.png","ImageObject",300,407,{"name":92,"@type":93},"Ezra","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-19","2026-09-04",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",11,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What is the main purpose of the professional certification benchmark dataset?","Question",{"text":113,"@type":114},"It benchmarks large language models on employable skills demonstrated in professional certifications, emphasizing vocational readiness over academic performance.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"Which AI models are compared, and what do the results focus on?",{"text":118,"@type":114},"The study compares GPT-3 and Turbo-GPT3.5, evaluating pass rates and performance across a broad set of 1149 professional certifications.",{"name":120,"@type":111,"acceptedAnswer":121},"What kinds of professional domains and task types does the benchmark include?",{"text":122,"@type":114},"It covers computer-related fields (e.g., cloud, cybersecurity, analytics) and also includes other domains such as nursing, counseling, pharmacy, and teaching, plus customer-service and sensory/experience-based evaluations.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},202837,1788551285,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":140,"language":141,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":142,"faqs":143,"seo_title":144,"seo_description":67,"update_tm":130,"read_time":145,"preview_page_count":4},1099514068035,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","PROFESSIONAL CERTIFICATION BENCHMARK DATASET: THE FIRST 500 JOBS FOR LARGE LANGUAGE MODELS  \nDavid Noever and Matt Ciolino  \nPeopleTec, Inc., Huntsville, AL, USA  \n[David.noever@peopletec.com](David.noever@peopletec.com) [matt.ciolino@peopletec.com](matt.ciolino@peopletec.com)  \nABSTRACT  \nThe 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, network setup and repair, and data analytics. Turbo-GPT3.5 scored 100% on the valuable Offensive Security Certified Professional (OSCP) exam. The models also displayed competence in other professional domains, including nursing, licensed counseling, pharmacy, and teaching. Turbo-GPT3.5 passed the Financial Industry Regulatory Authority (FINRA) Series 6 exam with a 70% grade without preparation. Interestingly, TurboGPT3.5 performed well on customer service tasks, suggesting potential applications in human augmentation for chatbots in call centers and routine advice services. The models also score well on sensory and experience-based tests such as wine sommelier, beer taster, emotional quotient, and body language reader. The OpenAI model improvement from Babbage to Turbo resulted in a median 60% better-graded performance in less than a few years. This progress suggests that focusing on the latest model's shortcomings could lead to a highly performantAI capable of mastering the most demanding professional certifications. We open-source the benchmark to expand the range of testable professional skills as the models improve or gain emergent capabilities.  \nKeywords  \nTransformers, Text Generation, Cipher, Generative Pre-trained Transformers, GPT  \n1. INTRODUCTION  \nThere is growing interest in novel ways to score AI progress using large language models (LLMs) and their remarkable ability to pass challenging professional exams [1-47] . These certifications [4- 5, 19, 40] include fields of medicine [6-7,15,17,20,23-25,27-28,30-31,36], law [13], physics [43], math [16,41], engineering [34], software [14], psychology [32], IQ [39], finance [37], language translation [8,10-12,21,29,44], and general task solving [1-2,9,18,26,35,38,42] . A new field seeks to design cheat-proof examination styles that neutralize a student's attempt to use an LLM while testing [40] . The original Turing test [48-49] posed a conversational test if a machine could convince a blind human panel that the judges conversed with a human when they talked to software only. Researchers have scored LLMs grammatically or, in the case of translators using the Bilingual Evaluation (BLEU) methodology to compare performance to experts and other machines [8,10-12,21,29,44] . However, with the remarkable progress in language understanding since late 2022 (ChatGPT and other transformers [3-4]), the current LLM generation has received attention for its capability to certify as human professionals in often complex or even life-saving capacities like legal advisors [13] or medical internists [6] . Remarkably, early prototype systems feature suicide prevention and mental health counseling as the first applications of LLMs, given some safeguards [50] . The increasing importance of understanding the result of training, refining, and deploying these models has prompted OpenAI [4] to publish its \"eval corpus,\" [51] mainly a description of the internal stages of declaring a model safe to deploy.  \nThe goal of the current work stems from a motivational thought experiment: What would an employer do if presented with Ch","cbCaijA69IDUuMwr","https://ap.wps.com/l/cbCaijA69IDUuMwr","pdf",1005387,27,"English","# Introduction\n## Motivation and research goal\n## Related evaluation approaches and prior work\n## New benchmark dataset and assessment design\n## Evaluation scope and example domains","[{\"question\":\"What is the main purpose of the professional certification benchmark dataset?\",\"answer\":\"It benchmarks large language models on employable skills demonstrated in professional certifications, emphasizing vocational readiness over academic performance.\"},{\"question\":\"Which AI models are compared, and what do the results focus on?\",\"answer\":\"The study compares GPT-3 and Turbo-GPT3.5, evaluating pass rates and performance across a broad set of 1149 professional certifications.\"},{\"question\":\"What kinds of professional domains and task types does the benchmark include?\",\"answer\":\"It covers computer-related fields (e.g., cloud, cybersecurity, analytics) and also includes other domains such as nursing, counseling, pharmacy, and teaching, plus customer-service and sensory/experience-based evaluations.\"}]","Professional Certification Benchmark Dataset - The First 500 Jobs for Large Language Models | PDF",68]