AI large models are the product of the combination of 'big data, strong computing power, and powerful algorithms'. They are an artificial intelligence algorithm capable of using big data and neural networks to simulate human thinking and creativity.
Pioneers in Generative AI Technology
As a global leader in the field of generative AI large models, XingYing relies on cutting-edge deep learning technology and massive data training to deeply deploy in the field of AIGC, build a multi-modal intelligent content generation ecosystem, and achieve technological breakthroughs in cross-modal interaction fields such as natural language processing, computer vision, and speech synthesis.
The team is led by Zhang Shanlin, a leading technology entrepreneur, as the CEO, and brings together CTOs (leading international cutting-edge projects), data intelligence experts and product management elites with top university backgrounds. The founder, Zhang Shanlin, has deep accumulation in the field of artificial intelligence, and has led the research and development of the world's first "Securities Investment Artificial Intelligence System" (SIAI) for A-shares, which realises the intelligent screening of massive investment portfolios through machine learning technology, demonstrating the forward-looking layout ability of artificial intelligence and industrial integration.
Autoregressive models: Autoregressive models generate new samples by predicting the probability distribution of each element in a sequence given the previous elements.
Autoregressive models: Autoregressive models generate new samples by predicting the probability distribution of each element in a sequence given the previous elements.
Autoregressive models generate samples by predicting.
Autoregressive models generate samples by predicting.
Autoregressive models generate samples by predicting.
Autoregressive models generate samples by predicting.