As AI technology changes by the day, we are witnessing its evolution from narrow AI toward general AI. In this process, large AI models have come to the fore as a clear trend. With billions or even hundreds of billions of parameters and remarkable learning and reasoning abilities, they are redefining the boundaries of what AI can do.
In the era of narrow AI, systems were designed mainly for specific tasks and domains, such as image recognition and speech recognition. They could complete those tasks but lacked generality and often struggled with tasks across domains. General AI, by contrast, focuses on general-purpose models — the key trend behind the boom in large models. It pursues more comprehensive and deeper AI capabilities, aiming to build general systems that can adapt to all kinds of tasks and scenarios.
With their vast parameters and strong learning ability, large models perform outstandingly on complex tasks. Through its long work on business digital transformation, tsan.ai has a deep understanding of what large-model capabilities can achieve in real systems. Through continued research and design, it has integrated leading large models and trained them further into models adapted to industry applications. Combined with AI agents, it has built a closed loop for applying industry large models and delivered many AI scenarios, going beyond the traditional use of digital platforms for data management, business applications, content creation and content review.
Use cases
Grassroots governance
tsan.ai uses the power of large models to build agents that support grassroots governance. Real-time data and analysis give decision-makers a sound basis and intelligent recommendations, streamlining governance and improving its results.
Online customer service
tsan.ai uses large AI models for intelligent Q&A. Customer service systems can understand users' questions and needs more accurately and give appropriate answers and suggestions, raising customer satisfaction and loyalty while lowering the cost and pressure of human customer service.
Converged media
tsan.ai uses large AI models with deep learning and natural language processing to discover story leads intelligently and assist with topic selection, greatly improving content production efficiency and making topics more precise and relevant to the market. Intelligent creation makes content easy to produce, generating high-quality text, images and video.
Online education
tsan.ai uses deep learning and natural language processing to identify and classify sensitive or non-compliant material in textbook content automatically, enabling intelligent review. This keeps content healthy and safe and helps teachers and students with marking and writing.
Content production
tsan.ai uses deep learning to have large AI models generate high-quality, in-depth content, strengthening the professionalism and authority of media, while the models' optimization algorithms match content precisely to users, making distribution more efficient. This innovation breaks down barriers between industries, deepens the integration of digital media with other fields and brings new momentum to industry.
tsan.ai will keep working in AI, continually innovating and improving its products and services to help more industries achieve digital transformation and intelligent upgrading. With large AI models, we believe every industry will have wider room to grow and a brighter future.