ChatGPT opened the prelude to the vigorous development of the big language test bank and the generative AI industry. Educational technology companies all over the world are gathering to access GPT-4, covering the United States, Europe, Japan, South Korea, the Middle East and North Africa, etc. The large language test bank is bound to gain broader application prospects and rich application scenarios in the field of education.
Hangzhou Jinglianwen Technology is a leading enterprise in the AI basic data industry. It has started to build high-quality educational question banks since September 2022. It has signed contracts with 12 domestic educational question bank companies and obtained 80 million educational databases. Carry out strict processing links such as question selection, input, screening, weight screening, answering, review, draft proofing, etc., and each link is reviewed by a dedicated person to form a complete quality assurance system. At present, Jinglianwen Educational Question Bank has become the largest educational question bank with the highest correct rate in China.
Up to now, JLW Technology database has a total of more than 80 million questions and a total of 1.8 million test papers. All questions are available in word editable version and json format.
The source of the question bank covers all subjects from primary school to high school, including: primary school mathematics, primary school Chinese, primary school English, primary school science, primary school morality and legal system, junior high school mathematics, junior high school physics, junior high school chemistry, junior high school biology, junior high school geography, junior high school English, junior high school Chinese, junior high school history, junior high school ethics and the rule of law, junior high school science, junior high school information technology, high school mathematics, high school physics, high school chemistry, high school biology, high school geography, high school English, high school Chinese, high school history, high school politics, general technology, information technology.
Covered versions include People's Education Edition, Beijing Normal University Edition, Jiaoke Edition, Jiangsu Education Edition, Lu Education Edition, Hebei Education Edition and other mainstream editions. There are almost all textbook versions in all regions of the country, with a total of more than 300 textbook versions.
The question bank has collected the test papers of the senior high school entrance examination in the past 14 years, and the coverage rate is as high as 95%. The total income of famous school test papers and mock test papers in each region is more than 200,000. Test question attributes include subject, chapter, knowledge point, question type, difficulty factor (not less than 5 dimensions), question type (senior exam questions/common exam questions/error-prone questions/final questions, etc.), number of real questions, and test question source (region ), ability, analysis, etc.; test paper attributes include discipline, textbook version, year, region, school, grade, semester, test paper type, source, score, difficulty factor, test time, tester, etc. More than ten categories; all The subject test center coverage rate is 100%.
In addition, JLW has a wealth of education expert resources, and all the data has undergone three rounds of quality inspection by professional educators. The data accuracy rate can reach 99%, which can accelerate the progress of algorithm research and development, provide strong support for the training and optimization of the question bank, and promote Intelligent education development.
The analysis of test questions enjoys independent intellectual property rights (100% original analysis), and the analysis dimensions include topic classification, analysis process, test site analysis, answer process, teacher comments, etc.
All data is authorized, and all test question analysis enjoys independent intellectual property rights. The analysis dimension includes topic classification, analysis process, test site analysis, answer process, teacher comments, etc.
JLW Technology's high-quality educational question bank solution, combined with the large language model GPT-4, takes big data analysis, machine learning technology and natural language processing (NLP) technology as the core, aiming to provide a comprehensive, efficient and personalized learning experience .
We have established a professional topic database, not only focusing on understanding the principles of database design, but also strengthening database design techniques. Use the combination of relational database management template and non-relational database (NoSQL) to process and store massive question bank data, and use the big data processing framework Hadoop and Spark for efficient data analysis and processing to support large models for efficient and complex database operations . We also provide data mining, data analysis, data visualization and other services to make full use of the data in the database and further provide more intelligent and personalized user services.
Breakthrough use of GPT-4 technology to generate and understand the language of the topic. GPT-4 uses the self-attention mechanism (Self-Attention) and the Transformer architecture, and has powerful capabilities in topic generation and understanding. We have deeply customized and optimized the GPT-4 model so that it can understand various question types, different subjects and different difficulty levels to meet the diverse educational needs.
In addition, big data analysis technology has also been introduced into our question bank solution. Through the mining and analysis of massive user data, we can more accurately understand the learning habits, abilities and needs of each student.
Based on these data, we used recommendation algorithms such as collaborative filtering and deep learning to establish a personalized recommendation system. This system can recommend the most suitable topics for each student, improve learning efficiency, and help teachers better understand students' learning conditions.
Finally, we developed a dynamic question generation and update mechanism, which enables the question bank to be updated according to the latest educational policies and subject requirements, maintaining its timeliness and accuracy. This mechanism ensures that our question bank is always kept up to date with the latest educational standards through the use of automated crawler technology.
In general, Jinglianwen Education Question Bank Solution is an intelligent learning tool that combines advanced technologies such as GPT-4, NLP (Natural Language Processing), big data analysis, machine learning and automated crawlers, and is committed to providing personalized , comprehensive and efficient learning experience.
Jinglianwen Technology provides value-added services, and it is expected to update the question bank every quarter to ensure the richness and comprehensive update of the question bank; if the full database is purchased at one time, we can provide a certain period of protection.
sample display
For free samples, please consult the official website of JLW Technology.
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