Bowen Large Model

What is the Bowen large model?

The BoWen large model was developed by Beijing BoWen Technology Co., Ltd.; it is currently known as the “Literature, History, Science, and Reasoning Large Model”. It is not a general chat tool intended for ordinary users, but rather a specialized model and platform designed to serve museums, cultural heritage organizations, and tourism-related institutions.

The platform combines Q&A on literary and historical topics, guided tours of the venues, customer service, interactive exhibits, operational oversight, and specialized training to create institutional solutions. Purchasers usually need to implement these solutions in a customized manner, taking into account the content of the venues, the hardware available, the network infrastructure, and the operational processes.

Model positioning and knowledge scope

According to the information provided about the product’s materials, the model was trained using a massive dataset of archaeological, historical, natural science, and academic texts amounting to hundreds of millions of words, with the aim of improving the ability to understand knowledge in fields such as history and literature as well as to reason in complex contexts. Nevertheless, errors may still occur regarding dates, names of individuals, sources, and explanations in the actual responses.

• Suitable for quizzes on knowledge of cultural relics, history, archaeology, and natural sciences.
• Further training can be carried out by incorporating information on the collections, exhibitions, and services of individual museums.
• It is capable of creating custom characters and narration methods for different venues.
• High-frequency issues are continuously optimized based on feedback from visitors.
• It cannot replace curators, researchers, and authoritative academic reviews.

Core product portfolio

Xiao Bo asks about smart terminals

“Xiao Bo Wenwen” is a dedicated interactive terminal designed for museums and tourist attractions; it focuses on understanding visitors’ questions, providing answers, and offering dynamic, real-time explanations. This terminal also collects data on actual interactions, which serves as feedback for optimizing the models used in these venues as well as the underlying algorithms.

• Visitors can ask questions about the exhibits, historical figures, and the services provided at the venue.
• The system generates responses based on the knowledge available in the library and the broad-questioning large model.
• Different venues can have their own custom names, roles, and content.
• Interactive terminals can be deployed in combination with leased cabinets and service robots.
• High-frequency issues can be addressed through subsequent knowledge updates and operational optimizations.

Interactive explanations and immersive exhibits

The venue allows models to be integrated into fixed exhibits, telephone-shaped devices, character figures, or other interactive elements, enabling visitors to engage in conversations with historical figures, craftsmen, or characters from stories. It is suitable for transforming static display panels into narrative experiences that allow for further questions and interactions.

Characterized responses must be constrained by the curatorial script and knowledge base, especially with regard to revolutionary history, evidence of war crimes, ethnic communities, and sensitive individuals. Generative interactions cannot arbitrarily add details to historical facts, nor can they use dramatic effects to conceal academic uncertainties.

Smart guide mini-program

The intelligent guided tour solution combines AI digital avatars, 3D walkthroughs, intelligent narration, and AI customer service to provide partners with a mobile access option for visiting the site. Specific details regarding maps, positioning, ticketing, payment, and accessibility features must be confirmed based on the specifics of each venue.

1. Organize the exhibition structure, routes, collections, and service facilities.
2. Establish a vetted in-house knowledge base.
3. Configure the digital avatar, the narration role, and the style of expression.
4. Set up map, roaming, and Q&A sections.
5. Test weak networks, crowded conditions, noise, and users of different ages.
6. After going live, continuous work is done to address incorrect answers and frequent requests.

AI phone customer service

The telephone customer service is available for inquiries regarding opening hours, tickets, transportation, events, complaints, and other common issues; it provides round-the-clock support and can give continuous responses based on the context. Complex questions can be referred to human agents.

According to the product specifications, AI is capable of handling around 70% of routine inquiries and customer complaints over the phone; this is a target or figure provided by the solution provider, and it is not a guarantee for all facilities. The actual percentage depends on the completeness of the available knowledge, dialects, background noise, the telephone system in use, and the rules for transferring calls to human operators.

Real-time supervision and operational services

The Bowen AI real-time monitoring platform allows partner organizations to create dedicated dashboards, through which managers can view details of orders, usage time, as well as data related to frequent questions and answers. The operation team can also update academic achievements, simplify terms, identify high-popularity terms and question-answer content, and generate operational reports on a regular basis.

How interactive data affects models

The product describes “Xiao Bo Wenwen” as a data collection device, stating that high-frequency interactive feedback helps to improve the algorithms and knowledge graphs. Venues should not consider it merely as an explanation tool; rather, it should be seen as a data system for continuously collecting information from visitors.

• Before going live, define the scope of voice, text, devices, and orders to be collected.
• Indicate the purpose of processing and the retention period in a prominent location.
• Distinguish between data essential for services and data for model improvement.
• Provide additional protection for children, groups, and sensitive exhibits.
• Define the rights and responsibilities of the venue and suppliers regarding interactive data.
• Provide channels for querying, deleting, withdrawing, and filing complaints.

Exclusive knowledge base and model training

Each museum can organize the descriptions of its collections, exhibition texts, research findings, and service rules into specialized knowledge. The materials used for training and retrieval must undergo academic, copyright, and confidentiality reviews by the museum.

1. Determine the scope of collections, exhibitions, services, and educational content.
2. Retain the author, version, release date, and review status.
3. Label disputed opinions and established facts separately.
4. Design rules for common issues, refusal responses, and escalation to human agents.
5. Use expert questions to test facts and their sources.
6. Record every knowledge update and model change.
7. Regularly sample real interactions to identify and correct errors.

Venue hardware and deployment format

Online systems and platform entrances

The current corporate site offers access to the Bowen large-model application as well as a real-time monitoring platform; both of these allow access to online systems. The public pages do not indicate that any visitor can register on their own, use these services for free, or purchase a personal membership.

Account types, permissions, concurrency levels, model invocation, knowledge spaces, and methods for data export need to be specified in the project contract and implementation documents. The presence of an online interface does not mean that API access is available to the public.

Typical use cases

• Interactive explanations of museum collections and historical knowledge.
• Narrative characterization in memorial halls and serious historical education.
• Search for archaeological sites and research findings.
• Information on venue access, tickets, routes, and events.
• Children’s educational outings and age-appropriate cultural quizzes.
• A knowledge and operational assistant for museum staff.
• Digital avatars in tourist areas, 3D tours, and intelligent guidance services.
• AI cultural products, robots, and interactive hardware.

Enterprise procurement and implementation process

1. Identify the target venue, the number of visitors, and the application scenarios.
2. Choose online, terminal, cabinet, robot, or fixed exhibit.
3. Assess knowledge, copyrights, personal information, and internet conditions.
4. The supplier is requested to provide a demonstration, the architecture, and a quote.
5. Conduct closed testing using the library’s actual problems.
6. Sign data, intellectual property, security, and service agreements.
7. Implement pilot projects on a small scale and establish manual emergency procedures.
8. Evaluation is based on accuracy, availability, and visitor feedback.

Prices and billing

Currently, there is no information available regarding a free personal version, subscription prices, the cost per token, the amount of calls allowed, the price of hardware, a trial period, or rules regarding refunds. The purchase budget should be based on the written quotation, configuration list, and the final contract.

Registration and security status

The product page states that the large model for literature, history, science, and reasoning was registered under the generative artificial intelligence services in February 2025, with the registration number BoWen-20250122. The company’s profile also mentions a security assessment conducted in July 2024 as well as a registration for the deep synthesis algorithm in November 2024; the algorithm’s registration number is 410104312819501240019.

These are compliance requirements of different times and types, and they cannot be substituted for one another. Registration and security assessments do not guarantee that the platform provides absolute security for all data, interfaces, and hardware related to the venues.

Privacy and data security

The currently available page does not contain a complete product privacy policy, a DPA, a list of sub-processors, information regarding the retention period for data, a security whitepaper, or procedures for notifying in case of incidents. Before processing visitors’ voice recordings, conversations, orders, and behavior data, the organization must obtain contractual specifications.

• Identify the data controller, processors, and their respective responsibilities.
• Confirm the retention periods for recordings, transcriptions, Q&A sessions, and logs.
• Confirm whether it is possible to exit once the model improvement is completed.
• Confirm the location of data storage, as well as data transmission and backup.
• Confirm administrator privileges, audit logs, and offboarding processes.
• Confirm the security incident notification and proof of data deletion.
• Stricter rules are established for minors and sensitive exhibitions.

Accuracy of content and academic review

Q&A sessions on culture and history place high demands on aspects such as the era in question, the source of information, the names of artifacts, the conclusions drawn from excavations, and existing controversial views. Even when professional terminology is used in the models, it is not possible to ensure that the responses are accurate, complete, or up to date with the latest research.

• Important conclusions should be linked to the review materials available in the library.
• Controversial issues should present different viewpoints and uncertainties.
• Sensitive historical content should be tested item by item by a professional team.
• When the model is unable to answer, it should explicitly refuse to respond or redirect the request to a human agent.
• Do not allow visitors to consider the generated responses as official evaluations.
• Major errors require prompt removal from service and follow-up to make corrections.

Intellectual property and commercial use

The current public page does not specify the permissions regarding training data, the rights to upload materials to the platform, ownership of data generated from visitor interactions, copyright for the generated explanations, and authorization for commercial derivatives. These aspects should be outlined in detail within the contract.

• The venue must have the right to use images of the collections, explanatory texts, and research materials.
• Clear authorization is required for character voices, digital humans, and character designs.
• Separate approval is required for suppliers to use the institution’s knowledge to train other projects.
• After the project is completed, procedures for handling the models, knowledge bases, and derived data should be established.
• Creative merchandise and paid guided tours require additional commercial licenses.

API, SDK, and open-source status

Language and platform

The corporate website offers pages in Chinese, English, and French, but this only indicates that the company’s information is available in multiple languages; it does not prove that the system fully supports these languages. Voice recognition, answering capabilities, virtual avatars, and narration functions need to be tested separately.

The forms that can be confirmed at present include web-based entry points, institutional supervision platforms, smart guidance apps, interactive terminals, cabinets, robots, and fixed exhibition items. There are no native iOS or Android applications or browser extensions intended for ordinary consumers that have been confirmed yet.

Which users are it suitable for

• Museums that require specialized Q&A and explanations.
• Cultural and tourism institutions that develop intelligent guidance systems and interactive exhibits.
• Venues that aim to continuously improve visitor services by using data.
• Public cultural institutions that require telephone customer service and manual transfer.
• A project team that carries out programs for children’s educational outings and cultural education.
• Organizations that require the integrated deployment of robots, terminals, and models.

Main advantages

• The model focuses on literature and history, archaeology, and natural sciences.
• It covers models, software, hardware, exhibits, and operational services.
• It can be customized by combining the knowledge and roles of individual libraries.
• The monitoring panel helps identify frequent issues and operational needs.
• There are already various types of venues and documented examples.
• The compliance status of models and algorithms is assigned a public identifier.

Capacity boundaries

• It is not a product for public personal chats; purchases usually require customization.
• Professional corpora cannot eliminate factual errors and academic controversies.
• The numbers of deployments and users are the figures disclosed by the company.
• Interactive data is used in the model iteration, and privacy boundaries must be clearly defined in a contract.
• The public price, trial period, refund policy, and SLA have not been confirmed.
• The complete privacy, security, and content licensing documents are not available publicly.
• The public APIs, SDKs, GitHub, and open-source licenses have not been confirmed.
• Multiple languages on a corporate website do not equate to the model’s multilingual capabilities.

Frequently Asked Questions

Is the BoWen large model a general-purpose chatbot?

No. It is primarily aimed at museums and cultural and tourism institutions, serving as a specialized platform for knowledge related to history and culture, as well as for providing explanations, customer service, and interactive functions.

Can regular users register for free?

At present, there is no confirmation regarding a free personal version available to the public, any rules for self-registration, or any subscription packages. The online platform offers services mainly related to institutional projects.

Xiao Bo asks what the purpose is.

It is an interactive terminal specific to the venue; it can answer visitors’ questions, provide dynamic explanations, and collect interactive feedback for the purpose of managing knowledge and models.

Has the Boyun large model been registered?

The product page lists the registration numbers for generative AI services as of 2025, while the company profile includes information on the security assessments and registrations related to deep synthesis algorithms conducted in 2024.

What is the price of the BoWen large model?

The public page does not list any fixed packages or pricing per call; for models, hardware, guidance services, exhibits, and operational support, customized quotes must be obtained on a project-by-project basis.

Are tourist conversations used for model training?

The product documentation specifies that interactive feedback will be used to improve the model over time. Before making a purchase, it is necessary to determine the scope of training, the mechanisms for exiting the process, as well as how data will be saved and consent obtained.

Does the Botwen large model provide APIs?

At present, no public APIs, SDKs, or development documentation have been confirmed. When integrating with such systems, it is necessary to request from the supplier information regarding the interfaces, authentication methods, rate limiting, and service level specifications.

Is the Boxun large model open source?

If the model weights, code, training data, or product are not licensed under an open-source license, they should be evaluated as proprietary solutions.

How to add a FAQ Schema

This page already provides FAQs that are visible to users; the site template can use these questions and answers to generate structured FAQ data. Script tags are not inserted directly into the text, in order to meet the security requirements for content fields.

1. Only use the questions and answers that are visible directly to the user on the page.
2. The page object is set to FAQPage.
3. Each question is set as Question.
4. The answer is written to acceptedAnswer and set as Answer.
5. The registration status, price, training details, and availability status must match those stated in the main text.
6. The visible FAQ is updated in real time whenever there are changes to the product or contract details.
7. After publishing, check for grammar, duplicates, and search engine guidelines.

Summary

The value of the BoWen large model lies in its ability to connect specialized models in the fields of literature, history, and science with venue-specific knowledge, interactive terminals, intelligent guidance systems, telephone customer service, and real-time operational functions. It is suitable for institutional-level cultural and tourism projects, rather than individual users who are looking for general-purpose question-answering capabilities.

When making a selection, the accuracy should be verified through actual collection issues, and visitor data, model improvements, intellectual property rights, hardware maintenance, service levels, and procedures for exiting the project should all be included in the contract. Public registration can indicate some level of compliance, but it cannot replace a thorough review of privacy, security, and procurement aspects.