Introduction to Aigc:
Aigc is an important symbol of the artificial intelligence 1.0 era entering the 2.0 era. The cumulative integration of GAN, CLIP, Transformer, diffusion, pre-training model, multi-modal technology, generation algorithm and other technologies gave birth to its outbreak. The iterative innovation and pre-training mode of the algorithm lead to the qualitative change of its technical ability, which makes it more universal and stronger in its basic ability.
Industrial structure:
The AI industrial chain is mainly composed of three layers: basic layer, technical layer and application layer. Among them, the basic layer focuses on building basic support platforms, including sensors, AI chips, data services and computing platforms; The technical layer focuses on the research and development of core technologies.
It mainly includes algorithm model, basic framework and general technology. The application layer focuses on the development of industrial applications, mainly including industrial solution services, hardware products and software products. It is found that the domestic aigc industrial chain structure is mainly composed of five parts: basic big model, industry/scenario model, business/domain small model, AI infrastructure and aigc supporting services.
Key technical capabilities:
Aigc has its own core foundation, including storage (centralized database, distributed database, cloud native database and vector database), source (user data, public domain data and private domain data), form (structured data and unstructured data) and processing (screening, marking, processing and enhancement ……).
Aigc characteristics:
1, video generation
It has been used in video clip processing to generate trailers and promotional videos. The workflow is similar to image generation. Every frame of the video is processed at the frame level, and then the video segment is detected by AI algorithm. Its ability to generate attractive and efficient promotional videos is achieved by combining different artificial intelligence algorithms.
2. Speech generation
The audio generation technology of aigc can be divided into two categories, namely text-to-speech synthesis and voice cloning. Text-to-speech synthesis needs to input text and output the voice of a specific speaker, which is mainly used for robot and voice broadcasting tasks. So far, the task of text-to-speech conversion has been relatively mature, and the voice quality has reached the natural standard, and it will develop into more emotional speech synthesis in the future.
3. Image generation
AI image generation, artificial intelligence (AI) can be used to generate images of non-human artists' works. Such images are called "images generated by artificial intelligence". Artificial intelligence images can be realistic or abstract, and can also convey specific themes or information.