Mihao Government Affairs Large Model

What is the MiChao Government Affairs Large Model?

MiChao is a vertical Chinese large language model developed independently by Midu Technology, designed primarily to serve government agencies, the media, and corporate offices.

The model focuses on knowledge-based Q&A, document writing, and data analysis, and is implemented through industry knowledge bases and application systems.

Core information

History of model development

The project contract should specify the actual version to be delivered, the upgrade mechanism, and the scope of compatibility; it is not sufficient to rely solely on the brand name.

Dual engines for autonomous safety

The authorities have defined the “dual engine of autonomy and safety” as the technical foundation of Mi Nest.

• Honey Nest begins its training in stages, starting with pre-trained corpora.
• Emphasis is placed on understanding Chinese language and aligning with its values.
• It uses its own developed Honeycomb model as the core engine.
• The Scholar-PU Language model is integrated to create a collaborative mechanism.
• Develop vertical applications based on specific business needs.

The dual-engine description does not mean that all components, dependencies, or model weights are provided by Honeydew Open Source.

Knowledge quiz

Knowledge Q&A systems can connect to policies, business manuals, case studies, and internal documents, providing staff with assistance for searching and providing answers.

• Establish authoritative and traceable sources of knowledge.
• Indicate the release date and expiration date for each document.
• Distinguish between national, local, and departmental perspectives.
• Retain the original sources and versions in the response.
• The official response is confirmed by authorized personnel.

Official document writing

Mi Chao can assist in drafting government-related promotional materials, reports, notices, and other office documents.

• Clarify the type of document, the audience, and the relationship between the different parts of the text.
• Only approved facts and data are used.
• Verify the name of the authority, the policies, and the document numbers.
• Models are prohibited from replacing the statutory issuance process.
• Complete confidentiality and content review before releasing it to the public.

Material analysis

Material analysis can be used for summarization, comparison, extraction of key points, and integration of multiple sources.

• Verify that the information is complete and the versions are consistent.
• Distinguish between the facts in the original text and the inferences made by the model.
• The key conclusion is to revert to the original materials for verification.
• When personal information is involved, it should be anonymized first.
• Retain the analysis process and records of manual modifications.

12345 Government Hotline

Honey Nest integrates knowledge management and ticket categorization to provide hotline operators with assistance in responding to inquiries and directing them appropriately.

• Real-time synchronization of valid policies and procedural guidelines.
• Identify the type of request and suggest a classification for the ticket.
• Automatic escalation for sensitive or urgent matters.
• The model must not make unauthorized promises regarding the outcome of the process.
• Accuracy of responses to random inspections and accuracy of task assignment.

Market supervision and emergency law enforcement

The model can assist in searching for regulations, organizing materials, and drafting documents, but it cannot replace the authorities responsible for enforcement in making decisions.

• The currently valid laws and regulations shall be applied.
• Check jurisdiction, authorities, and procedural deadlines.
• Evidential facts must not be generated by AI.
• Enforcement documents are reviewed by the case handlers and legal officers.
• The key decision was to retain manual signing and audit trails.

Public security, procuratorial, judicial authorities and judicial knowledge base

A knowledge base can assist staff in finding regulations and case studies, but it cannot automatically derive judicial conclusions.

• Strictly isolate cases from public knowledge.
• Control access to files and personal information.
• Check the validity period of regulations and judicial interpretations.
• Prevent the mechanical application of similar cases.
• Judicial and legal opinions are provided by professionals.

Public opinion analysis and reporting

The Honeycomb capability has been integrated into Sina’s Public Opinion Monitoring tool; officials claim that it is able to generate event analysis reports within 2 minutes.

• The report can cover an overview of events, data, and perspectives.
• It is necessary to distinguish between media opinions and public opinions.
• Popularity does not equate to the truth or accuracy of something, nor to social consensus.
• Explain the source, time window, and sample range.
• The assessment recommendations should be confirmed by a professional team.

Honey Nest Project Implementation Guide

1. Define the goals for government or corporate operations.
2. Identify high-risk matters that cannot be handled by models.
3. Clarify the data sources and legal bases.
4. Complete data classification, grading, and masking.
5. Choose from knowledge Q&A, writing, or analysis scenarios.
6. Confirm the model and deployment architecture with the authorities.
7. Build a knowledge base with versions and permissions.
8. Configure identities, roles, and minimum access permissions.
9. Evaluation is carried out using a real business test set.
10. Set options for rejecting calls, transferring to a human agent, and handling failures in a degraded mode.
11. Conduct small-scale pilots and document error cases.
12. It will be launched only after passing security and business approvals.

Enterprise deployment and pricing

MiChao offers solutions to institutions and provides the option to try out its services; the official website does not disclose the standard packages or the price per usage.

The price information was verified on August 30, 2026; the final cost will be determined in accordance with the official proposal, quote, and contract.

What needs to be confirmed before making a purchase?

• The delivered model and application version.
• List of compatible domestic hardware and software.
• Deployment location, computing power, and network requirements.
• Size of the knowledge base data and frequency of updates.
• Interfaces, concurrency, and service levels.
• Data ownership and exit migration mechanism.
• Ongoing maintenance, upgrade, and annual renewal costs.
• Acceptance criteria and scope of safety testing.

How to understand record-filing?

The official website’s registration number indicates that the model has completed the necessary registration for generative artificial intelligence.

• Registration does not guarantee that the content presented is always correct.
• Filing does not replace security assessment, cryptography evaluation, or password assessment.
• Registration does not automatically cover all new use cases.
• The purchaser still needs to carry out its own compliance review.
• For external services, it is necessary to confirm the applicable regulatory requirements.

Data security and government confidentiality

• Government data is processed in accordance with a system of classification and grading.
• Confidential information must not be entered into non-confidential systems.
• Personal information is handled in accordance with the principle of minimum necessity.
• Strict access controls are applied to knowledge bases and log settings.
• Transmission, storage, and backup are protected in compliance with relevant regulations.
• Full audit of all access by outsourcing and operations personnel.
• Verify data deletion and migration when the project is discontinued.

Model accuracy and manual review

• Establish policy, regulatory, and business test sets.
• Calculate the accuracy of statistical facts, refusal to answer, and citations.
• High-risk issues are forced to be routed to manual handling.
• Prevent old policies from overriding new ones.
• Record prompts, answers, bases, and the person who made the modifications.
• Continuously update the evaluations with incorrect examples.

API, SDK, and integration status

As of the time of verification, no API documentation, SDKs, or developer pricing for Honeycomb’s public registration were found.

• The enterprise’s system integration capabilities need to be determined on a project basis.
• Request the authorities to provide a list of interfaces and authentication schemes.
• Confirm concurrency, rate limiting, logging, and fault handling.
• Conduct security and penetration testing before going live.

Open-source status

No official open-source repository containing the weights of the honeycomb model, the training code, or the complete source code of the product was found.

• Merging open-source models does not mean that the entire Honeycomb platform becomes open source.
• Revealing the size of the data does not equate to making the training data available.
• Private deployment does not equate to ownership of the source code.
• The list of third-party models cannot be considered official code.

Which institutions are suitable?

• Establish government departments for knowledge-based Q&A on administrative affairs.
• Upgrade the services provided by the 12345 hotline.
• Units responsible for market supervision and emergency support.
• An institution responsible for creating a knowledge base on justice and law enforcement.
• State-owned and central-state enterprises that require the analysis of official documents and materials.
• Media and regulatory bodies that conduct public opinion analysis.

Product advantages

• Focused on Chinese government services and specialized office solutions.
• It covers knowledge Q&A, writing, and material analysis.
• There are already examples of applications in areas such as hotlines and public opinion monitoring.
• The official website publishes the model versions and registration information.
• It supports integration with industry knowledge bases and business systems.

Usage restrictions and precautions

• The official website does not disclose the standard prices or the cost per invocation.
• The current publicly available version is still 3.0.
• The details of the enterprise APIs and SDKs are not publicly available.
• The model may generate incorrect or outdated content.
• Government data is subject to strict confidentiality and compliance requirements.
• The model and the full product are not open source.
• Administrative and judicial decisions must be made by human beings.

Frequently Asked Questions

What is the MiChao Government Affairs Large Model?

It is a Chinese-language vertical large model developed independently by Midu Technology, focusing on knowledge answering, document writing, and data analysis.

What is the current public version of Honey Nest?

The official website currently shows Honey Nest 3.0, which was released in July 2024; when purchasing the product it is necessary to confirm the actual version that will be delivered.

Has Honey Nest completed its registration?

It has been completed; the registration number listed on the official website is Shanghai-MiChao-20240111.

What government applications are suitable for Honey Nest?

It includes services such as the 12345 hotline, market supervision, emergency law enforcement, databases related to the judicial system, government-related inquiries and answers, as well as promotional materials.

How does Honey Nest charge?

The official website does not list standard packages; services such as model integration, knowledge base management, deployment, and implementation require a quote to be obtained after consulting regarding the specific project.

Does Honey Nest provide a public API?

No publicly available API documentation, SDKs, or pricing information for developers have been found; for enterprise integration, it is necessary to contact the official parties directly.

Is Honeycomb an open-source large model?

No, no official model weights, training code, or complete source code for the product have been found.