After many domestic manufacturers have announced the launch of large-language models, the industry vibration brought by ChatGPT continues. Computing power, data, algorithms and even downstream applications, the entire industrial chain of artificial intelligence is being activated.
Recently, a Xiangxingli Future Data Technology Summit (FDTC) was held that attracted much attention in the industry. The event was co-sponsored by Transwarp Technology, Shanghai Data Exchange, Shanghai Big Data Alliance and CaiLian News, attracting nearly 2,000 guests from government, finance, transportation, energy, manufacturing and other industries at home and abroad.
Xiangxingli Future Data Technology Summit
Why are industry insiders interested in this summit? The quality and quantity of data sources are often highly correlated with the training effect of large models, and data has become one of the core competitive barriers for AIGC application products. Due to the synergy with AI large models, a new type of database, vector database, has become popular at an alarming speed, and the AIGC fever has accelerated the investment fever of vector database. As a leading developer of big data basic software in China, Transwarp is an enterprise that began to deploy vector databases very early in China.
It is generally believed that a vector database is a database specially used to store and query vectors, and the stored vectors come from vectorization of text, speech, images, videos, etc. Vector databases can handle more unstructured data (such as images and audio) than traditional databases. In machine learning and deep learning, data is often represented in the form of vectors.
Transwarp first proposed innovative scenarios for the application of industry large models in the industry, and launched corresponding tools to help enterprises build their own industry large models, and form artificial intelligence applications with "new human-computer interaction" and "agile and sustainable iteration" through the large model infrastructure.
At this summit, Transwarp's innovative products officially released include Sophon LLMOps, a tool for continuous improvement and continuous development of large models, the industry's first financial big model "Wuya", big data analysis big model "Seeking" and other industry large models, the self-developed vector database Transwarp Hippo, the distributed graph data StellarDB 5.0 to build massive data interconnection intelligent "star" graphs, and TimeLyre, a high-performance time series database for multiple scenarios 9.1, a new generation of intelligent analysis full-process platform Sophon, and data element circulation product Navier 3.1 and other products.
Sun Yuanhao, founder and CEO of Transwarp, said that as data processing becomes intelligent, multimodal and civilian, everyone will be a data scientist in the future, and the way humans interact with data will undergo major changes. Natural language interaction methods such as language and video will gradually become popular, and everyone will need a "virtual business assistant".
The intelligent, three-dimensional and civilian tide of data processing is surging, and the products that use innovative technology to land data processing are the cornerstone and foundation of these waves, which is changing the process of data processing development.
Reporter: Wang Xu
Editor: Ning Pingying
Proofreader: Geng Jieyu
Reviewer: Wei Li