Tianshu AI

Tianshu AI 179

Tianshu AI is an AI-powered application built on large language models. Leveraging massive datasets and powerful algorithms, it delivers fast and accurate, meaningful answers.

#Ai工具箱 #Ai写作对话

Tianshu AIIntroduction

Tianshu ai is an artificial intelligence application based on a large language model. Leveraging massive data and powerful algorithmic models, it enables machines to deliver meaningful answers quickly and accurately.

Tianshu AI supports users in independently uploading document materials for parsing and training. It is suitable for Q&A across various enterprise knowledge bases, such as: enterprise reimbursement Q&A, time-of-use electricity pricing Q&A, safety rules and regulations Q&A, and other professional scenario-based training Q&A.

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Differentiations between Tianshu AI and other products:

Traditional AI Q&A applications have weak language parsing capabilities for text and images, making it difficult to accurately identify user question requirements and provide correct parsed answers for specified text or images. It is hard to quickly respond to and deliver accurate answers for users' real-time needs.

In traditional AI Q&A applications, users need to manually enter questions one by one, and then verify whether the corresponding matched answers are correct. This process is time-consuming and inefficient.

Compared with general-purpose AI Q&A products on the market, this product focuses more on enabling users to obtain detailed information in a way they are accustomed to within a specific industry or profession—something that general-purpose AI products struggle to achieve.

Tianshu AI can quickly answer users' questions, provide personalized recommendations or answers, reduce manual intervention and communication costs, and thereby improve work efficiency. Users no longer need to spend a lot of time searching and filtering information, and can quickly obtain accurate answers.

Core features of Tianshu AI:

1. Self-learning knowledge

Create a knowledge base by inputting documents or Q&A to let AI learn. Based on the AI training situation, documents can be deleted or replaced at any time.

2. Precise scenario training

Provide users with conversational training, allowing business experts to quickly converse with AI. In the conversation scenario, AI can be quickly and accurately corrected, making the Ai assistant smarter.

3. Personalized roles

Assign the AI assistant a basic role, such as customer service, salesperson, trainer, marketer, industry expert, etc., to better align the AI with your business image.

4. Customized services

The platform supports custom interactive interfaces, serving as a professional image for company business, providing 7*24-hour customer service.

5. Multi-channel publishing

Meets various business scenarios and serves customers through multiple channels. Including web pages, WeChat, enterprise WeChat, JS-embedded web pages, API integration, with more publishing formats continuously being upgraded.

6. Multi-language translation

Enables multi-language translation within conversations, resulting in smoother and more natural translations compared to traditional translation.

7. Multi-structure data parsing

In addition to traditional text interactions, it also supports quickly organizing images, videos, and link locations directly from professional documents to answer users, helping users precisely locate the content they want.

8. Data viewing support

View usage data to grasp the effectiveness of the AI assistant's knowledge services. Based on data reports, the robot can be further optimized to answer business knowledge more accurately.

9. Rich templates provided

The platform provides excellent AI templates for various industries. Enterprises or users can quickly use the rich templates provided by the platform to rapidly respond to business needs.

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Core value of Tianshu AI:

Tianshu AI possesses a powerful backend language model foundation, with precise information extraction, parsing, and semantic understanding capabilities. It can professionally and efficiently address users' direct questions about policies, documents, rules, and other content, avoiding the need for users to browse through large amounts of information and saving comprehension time and cognitive costs.

Focusing on professionalism, vertical depth, and accuracy, it collects users' frequently asked questions, points of confusion, and recent concerns, and optimizes and improves based on user needs.

Enables users to obtain detailed information in their accustomed way within a specific industry or profession.

Roles can be set and the knowledge base can be self-learned, enabling rapid customization of personalized and highly capable AI assistants for users.

Provides public AI intelligent Q&A capabilities that can be quickly embedded into other systems for use.

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