What is an AI Big Model?
Artificial intelligence large model refers to an artificial neural network model with massive parameters and powerful computing power, which can be pre-trained on a large amount of data, learn the knowledge contained in the data, and fine-tune on specific tasks to achieve efficient, accurate and intelligent data processing and analysis.
Artificial intelligence big model is an important technical trend in the field of artificial intelligence in recent years, representing the latest level and development direction of artificial intelligence technology. At present, there have been many types of artificial intelligence large models, such as GPT-3 and BERT in the field of natural language processing, ViT, BigGAN, etc. in the field of image processing, and WaveNet and Tacotron in the field of sound processing.
What are the advantages of AI big models?
Artificial intelligence large models have the following advantages:
- You can pre-train on massive data to learn general knowledge and rules, and improve the generalization and transfer capabilities of the model.
- It can be fine-tuned on specific tasks, quickly adapted to the needs of different fields and scenarios, and reduced development costs and time.
- It can realize multi-modal, multi-task, multi-domain data processing and analysis, and improve the complexity and flexibility of the model.
- You can use cloud computing, edge computing and other technologies to achieve distributed deployment and operation of models and improve the availability and scalability of models.
How are AI big models changing research and industry?
Artificial intelligence large models have brought the following changes to scientific research and industry through the way of "subtraction" and application of "addition" by algorithms:
- It provides a new paradigm and model for scientific research, so that researchers can use large models for rapid, effective and innovative data exploration and knowledge discovery.
- It provides new empowerment and driving for the industry, so that the industry can use the big model for efficient, accurate and intelligent data application and value creation.
- It provides new services and value for the society, so that the society can use the big model for convenient, secure and trusted data circulation and sharing.
For example, in the field of new drug research and development, the "Pangu" drug molecule large model can realize AI-assisted drug design for the whole process of small molecule drugs, which not only reduces the amount of calculation of small molecule compound screening, but also reduces the possible toxic side effects of new drugs through targeted optimization of screened small molecule compounds, greatly shortens the R&D cycle, and reduces R&D costs.
In the field of coal mines, the "Pangu" mine model can cover more than 1,000 subdivision scenarios in mining, excavation, machinery, transportation, communication, washing, selection and other links, effectively improving the efficiency of underground inspection and reducing safety risks.
In the field of manufacturing, the "Pangu" manufacturing model can realize the intelligence of the whole process from product design, manufacturing, quality inspection, equipment maintenance, etc., improve product quality and production efficiency, and reduce resource consumption and environmental pollution.
summary
Artificial intelligence big model is an artificial neural network model with massive parameters and powerful computing power, which can be pre-trained and fine-tuned on a large amount of data to achieve efficient, accurate and intelligent data processing and analysis. Artificial intelligence large models bring new paradigms, models, empowerment, drives, services and values to scientific research and industry through the way of "subtraction" and application of algorithms, which is an important direction and trend in the development of artificial intelligence technology.
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