In Which Scenarios Can AI Large Models Be Applied? What Are the Characteristics of AI Large Models?

[baoshi.rao]

What is a large model? A large model refers to a machine learning model with a massive parameter scale and high complexity. In the field of deep learning, large models typically refer to neural network models with parameters ranging from millions to billions. These models require substantial computational resources and storage space for training and storage, often necessitating distributed computing and specialized hardware acceleration techniques. The design and training of large models aim to provide more powerful and accurate performance to handle more complex and extensive datasets or tasks. Large models can typically learn more nuanced patterns and rules, exhibiting stronger generalization and expressive capabilities.

In which scenarios can Teddy Intelligent Technology's large models be applied? Teddy Intelligent Technology's large models are widely used across various industries, driving intelligent transformation.

1. Large Models in the Banking Industry

   • Intelligent risk control for financial credit: Accuracy in loan risk assessment improved by 21.5%.

2. Large Models in the Insurance Industry

   • Intelligent parsing of insurance clauses: Text processing efficiency increased by 30 times.

3. Large Models in the Healthcare Industry

   • Automated extraction of medical records: Significant improvement in case processing efficiency.

4. Large Models in Human Resources

   • Intelligent classification of candidate information: Model recognition accuracy reached 99%.

5. Large Models in Securities

   • Intelligent analysis of industry news: Extraction and analysis of industry trends.

6. Large Models in Telecommunications

The efficiency of intelligent classification and review filtering for SMS content has significantly improved.

7. Application of Large Models in E-commerce
Rapid setup of comment data analysis systems for e-commerce review sentiment analysis.

8. Application of Large Models in Logistics
Intelligent recognition and processing of shipping addresses on express waybills.

What are the characteristics of large models?
Firstly, large models possess a vast number of parameters, making them suitable for real-time prediction and processing in complex scenarios. On the other hand, large models are primarily used for prediction problems, offering higher accuracy and superior performance compared to traditional models. Secondly, large models excel in the field of natural language processing, outperforming other models.