AIGC marks a critical moment for artificial intelligence to move from 1.0 era to 2.0 era. Its explosive development benefits from the integration of many advanced technologies, including GAN (generated countermeasure network), CLIP, Transformer, Diffusion and so on. And the accumulation of pre-training model, multi-modal technology and generation algorithm.
The development of AIGC has experienced an advanced stage from computational intelligence to perceptual intelligence and then to cognitive intelligence. Through the study and training of large-scale data, AIGC enables the artificial intelligence system to cross many fields and realize the ability to perform tasks in real scenes through appropriate model adjustment and correction.
The influence of AIGC on human society and artificial intelligence is a milestone. In the short term, AIGC has changed the basic productivity tools; In the medium term, it will have a far-reaching impact on social relations of production; In the long run, AIGC has promoted a qualitative leap in the productivity of the whole society. In this transformation, data has been promoted to core resources, and AIGC has accelerated the process of digital transformation of the whole society.
The role of AIGC
AIGC has played an important role in content creation. Through deep learning and generation algorithms, AIGC can create highly realistic and creative multimodal content, such as text, images and audio. This provides a new creative means for advertising, entertainment, art and other fields, and provides a broader creative space for creators.
AIGC has great potential in automated content production. By pre-training the model and generating the countermeasure network, AIGC can automatically generate a lot of content, save labor costs and improve efficiency. This has obvious application potential in news reporting, article creation, film and television production and other fields.
AIGC also plays a key role in personalized recommendation and customized service. By analyzing users' behaviors and preferences through deep learning algorithms, AIGC can generate personalized content, improve user experience and promote personalized development of information and services.
AIGC also shows great potential in the fields of education and training. It can generate high-quality, personalized educational content and provide students with a more flexible and targeted learning experience. This customized educational content helps to improve the learning effect and attract students' interest.