Intelligent Enterprise Knowledge Base Solution
Intelligent Customer Service Solution
Chat BI SolutionText Generation
Introduction to Technology
Langboat text generation engine is based on Mengzi Pre-training model, which is economical to train and deploy. With technologies of large language modeling (LLM), controlled generation, long text modeling and few-shot learning, the Langboat text generation model achieves superior performance in many tasks and fields.
Text Generation
Introduction to Technology
Langboat text generation engine is based on Mengzi Pre-training model, which is economical to train and deploy. With technologies of large language modeling (LLM), controlled generation, long text modeling and few-shot learning, the Langboat text generation model achieves superior performance in many tasks and fields.
Technical Solutions
Technical Advantages
Controllable Text Generation
Controllable Text Generation
Enable flexible and customizable multi-attribute input to generate novel and diverse texts.
Diversified Text Generation
Diversified Text Generation
The usage is flexible and convenient. It generates text by accepting the keywords, titles and tables as inputs and supports automatic continuation of writing based on the preceding sentences
Generation on Knowledge Graph
Generation on Knowledge Graph
Users can customize the knowledge Graph to effectively improve the factual correctness of the generated textual content.
Lightweight Fine Tuning
Lightweight Fine Tuning
With strong domain adaptation capability, it can quickly train a new models for new tasks with relatively low training costs.
Long Text Modeling
Long Text Modeling
It supports the generation of long texts of more than 1,000 words to support various writing scenarios, such as copywriting and novel writing
Multi-task Joint Modeling
Multi-task Joint Modeling
It supports multi-task parameter sharing. A single model can support multiple scenarios with low cost of model deployment.
Customization
Customization
Building a user's proprietary text generation engine based on user's data.
Automatic Evaluation System
Automatic Evaluation System
It can evaluate the factual correctness and logical coherence of the text, detect sensitive content, and perform grammatical error correction.
Multiple Industries Support
Multiple Industries Support
It supports marketing, finance, news, medicare, education and many other industries.
Application Scenarios
Marketing Copy Generation
Using the controllable generation model, based on the massive marketing data, the creation of marketing copy becomes more efficient, economical, fast, novel and diverse..
Digital Human Conversation
The controllable dialogue system developed by Langboat can build a more professional and personalized dialogue engine.
Assisted Writing of Novels
Langboat has developed an intelligent assisted writing model for online writing scenarios to enable writers to efficiently write high-quality content.
Research Report Assistant
Langboat developed an effective information aggregation approach to improve the efficiency of research report generation.
Customer Stories
DataStory
Langboat Technology and DataStory have carried out in-depth cooperation in automatic writing of marketing copywriting, article/news summaries, copywriting quality assessment, etc., and jointly lead the development of the intelligent content creation industry.
COL
Together with Chinese Online, Langboat Technology launched a new generation of assisted systems for writing novels with deep understanding of the workflow of writers.
Business Cooperation Email
Address
Floor 16, Fangzheng International Building, No. 52 Beisihuan West Road, Haidian District, Beijing, China.
© 2023, Langboat Co., Limited. All rights reserved.
Large Model Registration Code：Beijing-MengZiGPT-20231205
Business Cooperation:
bd@langboat.com
Address:
Floor 16, Fangzheng International Building, No. 52 Beisihuan West Road, Haidian District, Beijing, China.
Official Accounts:
© 2023, Langboat Co., Limited. All rights reserved.
Large Model Registration Code：Beijing-MengZiGPT-20231205
