Large AI models are competing to bloom. Why are technology giants planning their deployment?

#There is no doubt that AI large models have become a main theme in the development of the current artificial intelligence industry. Since its launch in November 2022, the concept of ChatGPT has continued to ferment, and global technology giants have begun to compete to release large-scale AI model products. Now, this trend has spread to China and is getting more intense.

On April 11, 2023, Alibaba Cloud officially released its large model product "Tongyi Qianwen". This model has the capabilities of multiple rounds of dialogue, copywriting creation, logical reasoning, and multi-language support. At the same time, Zhang Yong, chairman and CEO of Alibaba Group and CEO of Alibaba Cloud Intelligence Group, announced that all Alibaba products will be connected to the "Tongyi Qianwen" large model in the future and undergo a comprehensive transformation.

In fact, Alibaba Cloud is not the only technology company that has recently entered the AI ​​big model. Baidu, Huawei, 360, SenseTime and other companies have also launched AI big models, and many of them have applied them. In terms of products, more and more companies have announced that their own large-scale model products will be unveiled soon.

So, what are the uses of large AI models? Why are technology giants rushing to join the game?

What is an AI large model?

AI large model is a large language model, which is specially designed to understand, interpret and generate human-like text based on large amounts of input data artificial intelligence model. Its main purpose is to perform various natural language processing (NLP) tasks such as text classification, sentiment analysis, machine translation, summarization, question answering, content generation, etc.

It is understood that large AI models are usually trained using a method called supervised learning. First, a large set of text inputs and their corresponding outputs are fed to the model to predict the output given new inputs. AI large models use optimization algorithms to adjust their parameters to minimize the difference between their predictions and actual output. The training data is then fed to the model in mini-batches. The model makes predictions for each batch and corrects its parameters based on the errors it sees. This process is repeated several times, allowing the model to gradually learn about relationships and patterns in the data.

As a result, AI large models are able to provide higher accuracy in predictions and perform more complex tasks faster than traditional language models or algorithms. At the same time, because the model has been trained on a large data set, developers require less work to implement such techniques in their applications. With increased speed and accuracy, AI large models provide businesses with ample opportunities to create natural language processing-enabled solutions for specific use cases that can significantly improve customer experience.

What scenarios can AI large models be applied to?

It is no exaggeration to say that as a very powerful tool, AI large models can be applied in various fields.

For example, in retail, AI large models can improve customer experience by providing personalized recommendations, answering customer inquiries and assisting with purchases. Businesses can use chatbots to interact with customers in a natural environment, provide customer support, answer questions, and guide customers through the purchasing process. Large AI models can even be used to analyze customer data to provide personalized recommendations, for example by analyzing past purchases and suggesting new products that may be of interest to them.

In finance, AI large models can do a good job of analyzing financial reports, news articles, and other financial data to help financial analysts make decisions.

In healthcare, large models using AI can be used to monitor patients and provide real-time alerts, analyze scientific research to help identify new drugs, analyze electronic health records to improve patient care, and provide interactive simulations and virtual patient interactions. to help educate.

In education, teachers can use large AI models to analyze student data and provide personalized recommendations, all to suggest areas where students may need additional help.

In marketing, one of the best ways to use large AI models in marketing is to conduct research. Large AI models can summarize ideas in a concise way, so you don’t have to search dozens of websites to get the answer you want. In addition, AI large models can also provide personalized recommendations by using customer data, and can also provide better services.

There is no doubt that AI big models represent a transformative technology that can help enterprises gain strategic advantages, stay competitive in a rapidly changing market, and deliver real business value to customers.

According to the "2023 V1 Global Artificial Intelligence Expenditure Guide" released by the International Data Corporation (IDC), thanks to the continuous advancement of artificial intelligence technology, model accuracy has significantly improved, and AI software is better at processing massive and high-dimensional data. , higher efficiency in complex data. In terms of computer vision, large AI models can better recognize images and videos and achieve higher recognition accuracy. IDC predicts that AI software spending will grow to US$7.69 billion in 2026, accounting for approximately 29% of the total market size, an increase of 10 percentage points from 2021.

It can be seen that as more new AI models continue to emerge, it will bring huge imagination space and market opportunities to the artificial intelligence industry.

Write at the end:

Currently, developing the digital economy has become a global consensus. As a strategic emerging technology, artificial intelligence is increasingly becoming the core driving force for industrial upgrading and productivity improvement. The emergence of ChatGPT has made people realize the importance of large AI models for the development of artificial intelligence.

Nowadays, the battle for AI large models has begun, and various giants are gearing up to enter the game. We don’t know who will stand out in the future, but what is certain is that with the continuous development of large AI models, large-scale popularization of artificial intelligence technology will be accelerated, allowing human society to truly move into the intelligent era.

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