Who is the hottest in the tech world in 2023?I think the AI model will definitely be at the forefront. So what exactly is it?How much does it have to do with us ordinary people?What will be the impact on humans?So today, let's take stock of various things about AI large models.
At present, if you open an information app, then the content you see is likely to be AI-generated, and not limited to articles, some are**, some are audio, and even**. In addition, in terms of creation, AI has demonstrated efficiency and ability beyond human beings, and these are all thanks to the rapid development of AI large models.
1. What is an AI model?
It is the abbreviation of large language model, which can also be abbreviated as llm. The large characters refer to the large capacity of the model structure, the large number of parameters in the structure, and the large amount of data used for pre-training the large model. Therefore, large-scale can also be referred to as a machine learning model with a large parameter scale and complexity.
Because large models are large enough, they usually have stronger expression ability and higher accuracy, and have great potential for development in many application scenarios.
According to the application field, the current large models can be divided into three categories, namely language large models (NPL), visual large models (CV) and multimodal large models.
The large language model is a deep learning model in the field of natural language processing, which is trained with a large amount of text data and can generate natural language text or understand the meaning of language text, such as ChatGPT, which became popular all over the world at the beginning of the year.
The large visual model uses a large amount of data and algorithms to build a visual system with high recognition, analysis and expression capabilities. It mimics how the human visual system works, processes and analyzes images, and continuously optimizes its own algorithms through machine learning. In the era of mobile Internet, the application scenarios of large visual models are very wide, including image classification, target detection, image segmentation, pose estimation, face recognition, intelligent security, etc. For example, Meitu's whimsical intelligence.
The multi-modal large model refers to a large model that can process information from different modalities, such as images, voices, texts, etc., and has the capabilities of the above two large models, which can realize applications such as image generation, image understanding, 3D generation and ** generation. For example, the monkey model of Huazhong University of Science and Technology has the skills of "observing" the world, and can conduct in-depth Q&A exchanges and accurate descriptions of **.
In addition, there is another category called scientific large models. As the name suggests, it is related to scientific research and application, it can extract mathematical laws from massive data, and solve scientific computing problems faster and more accurately through artificial intelligence technology, including meteorology, medicine, water, machinery, aerospace and so on. For example, Huawei's large scientific computing model.
Second, through the previous description, we have a preliminary understanding of AI large models, so what can these large models do for us ordinary people?
1. Automatic writing.
For example, automatically write articles, write news, write **, write stories, write scripts, write work summaries, as long as you want to write, AI can basically help you complete it. In addition, on the basis of the existing content, it can also be rewritten and expanded to enrich the length of the article and the increment of information.
Of course, it's okay to do it backwards, throw an article, a report, a document, and let it summarize the essence, or make multiple headlines it.
This ability of AI can play a huge role in our daily work and learning scenarios. If it can be utilized, it will be effective in improving efficiency.
Moreover, the current application in this area has been quite mature, and the representative ones are Wenxin Yiyan, Notion, ChatGPT, etc.
2. Generate**.
There are two main ways, the Wensheng diagram and the diagram.
To Wensheng diagram is to enter the text first, that is, the description you want to **, and then generated by AI.
To create a picture is to upload a ** first, create on the basis of this picture, it can be expanded**, but also start to change the background, change the specified elements, or change the style, such as the real person**become**style, the vertical version**expand to the horizontal**, change the costume of the character in the **, and so on.
At present, the technology in this area is also relatively mature, and AI biographics have been greatly applied in animation production, tweets, poster creativity, packaging design, e-commerce and other fields. Representative platforms include Wenxin Yige, Midjourney, Stable Diffusion, and so on.
3. Audio synthesis.
One is speech synthesis, which is to input text and generate audio commentary for multiple characters and styles. This type of audio is very common on various content platforms, including film and television commentary, audiobooks, and other fields. In addition, many well-known editing software now have their own text-to-speech function, which is very convenient to use.
The other is **creation, which generates a **work according to the relevant description. Google's Magenta, for example, can generate unique melodies, harmonies, and arrangements based on the user's input criteria.
4. **Generation.
Similar to audio compositing, you only need to enter text, and it will automatically match the relevant screen, and then generate**. At present, many tools have integrated this function, such as the degree of cutting, Douyin Jianying, and can already achieve a certain level of quality and level.
In addition, in the field, artificial intelligence technology can also achieve static changes, automatic removal or replacement of a certain part, automatic change of style, automatic editing and other advanced functions, such as runway and so on.
5. Writing**.
Programming is actually similar to writing, but compared to it, programming has more regularity, so AI that has been trained a lot is actually very suitable for writing. If you are engaged in the work of a programmer, you can greatly improve your efficiency by making good use of AI. In addition to writing, you can also let AI help test, optimize, and find bugs.
6. Education and training.
Also based on massive amounts of data, humans can interact with AI as a teacher, a course, or even a subject. You can ask it specific questions, let it provide learning methods, strategies and ideas, let it give children questions, match children with quizzes, and play knowledge-based interactive games. As well as the more difficult learning forms in real-world scenarios, such as letting AI practice oral dialogue with you, which is far less expensive than the traditional way of foreign teachers, and can be carried out anytime and anywhere, with high efficiency and no bad results.
7. Act as customer service.
Through the training of specific knowledge in the early stage, AI can quickly grasp all the information related to enterprises, industries, products, etc., and then realize the efficient response to various questions raised by users, which is far more efficient than traditional customer service. Moreover, the manual method not only needs to recruit people, but also involves various tasks such as training, and it is difficult for humans to work 24 hours a day.
In short, the above examples are just a few scenarios of actual AI applications. Strictly speaking, the application range of AI large models is very wide, in fact, most of the non-manual labor work can be completed using AI technology. In other words, with the blessing of AI technology, the efficiency and effectiveness can be significantly improved. Therefore, at this moment, we need to clearly recognize that these AI models are closely related to our daily life and work, and naturally we cannot get rid of the impact of AI technology on us. Of course, there is no need to worry about everything. After all, AI is just a tool invented by humans, and as long as we can make good use of it, it will not be replaced.
3. What are the large models of domestic AI?
Because the United States has a strong technological advantage in the underlying architecture, such as the chip industry, the development of its AI industry is in a leading position in the world. So do we have a large AI model that can be played in China?The answer is yes, of course. For example, the most representative is the Wenxin model of the degree.
It is an early company in the field of AI in China, and has made a lot of achievements in recent years, not only the AI open platform, but also the self-developed AI chip Kunlun, as well as the most popular AI model.
At present, it has also formed a product line of NLP large model, CV large model, cross-modal large model, biological computing large model and industry large model. In particular, Wenxin Yiyan and Wenxin Yige have been fully opened and have been widely used.
Wenxin Yiyan is a generative dialogue AI based on the Wenxin model, which can interact with people, answer questions, assist in creation, and help people obtain information, knowledge and inspiration efficiently and conveniently.
Wenxin Yige is an AI painting product, relying on the paddle and Wenxin model, you can quickly generate exquisite paintings of various styles just by entering text descriptions.
In addition, the domestic Xinghuo large model of iFLYTEK, the ChatGPT large model of Zhipu, the large model of Chinese language consultation of SenseTime, the general cognitive large model of 360 Zhi Brain, the large model of Ali's Tongyi Qianwen, the large model of Wudao language of Beijing Normal University, the large model of Zhipu AI of Tsinghua University, and so on.
In other words, China is in a stage of rapid development in the field of AI large models, so the key question is, what is the level of domestic large models compared with foreign large models such as ChatGPT?
According to the test results released by Superclue in October, OpenAI's GPT4 ranked first, followed by Claude2, founded by former OpenAI employees, and its own GPT35. The fourth place is the vivolm large model developed by vivo. There are also domestic large models such as Wenxin Yiyan, Skylark, Xunfei Xinghuo, etc., and everyone is with GPT3The gap of 5 is already not large.
In addition, according to the data in the AI large model experience report, in terms of composite index, GPT4 and GPT3The scores of 5 are 1246 and 1148, respectively, ranking the top two, and Wenxin Yiyan is 1112, with GPT 35 is very close, ranking third, and behind Tongyi Qianwen, Xinghuo, etc., and GPT3The gap of 5 is not large.
In short, I believe that with the passage of time, the domestic large model will soon surpass GPT35. With the continuous breakthrough of the domestic semiconductor industry chain, especially the rise of AI chips, the level of China's AI will definitely reach the world's most advanced level. The reason is simple, only we have the most suitable scenario for large-scale application of AI, not only the AI technology itself, but also infrastructure construction, population, 5G and 6G development, living habits, etc., which are unique in the world. And if AI wants to evolve, the actual use, that is, the continuous feeding of real data, is the core.
4. Security issues caused by large AI models.
Since the popularity of ChatGPT, the discussion of security issues has never stopped.
On the one hand, large AI models need to be calculated through a large amount of data, so are there any wrong information in these data?The accuracy of the content of the feedback will be determined in the end.
At the same time, if the AI model gives wrong answers, or even biased remarks, deliberate lies, and gibberish, if such information is used in academic exchanges, scientific research and other fields, it will inevitably lead to serious consequences.
On the other hand, sending private data and sensitive information to the AI model is also very easy to cause information leakage. For example, order data, core**, key documents, and so on.
And, what is the data that AI uses to train?Is it legitimate?Did you get the user's demand?This is also a representative issue.
Third, in the actual use of AI large models, it cannot judge the personal situation of users, and cannot give corresponding answers to specific groups of people when it comes to sensitive questions, especially for minors, which is very dangerous and can easily cause the transmission of inappropriate information.
Therefore, although the AI model has developed by leaps and bounds, it seems that it has not kept up in terms of security. However, countries around the world are paying more and more attention to this issue.
For example, on June 14 this year, the European Parliament voted to pass the Artificial Intelligence Act, which prohibits real-time facial recognition and imposes new transparency requirements on generative AI tools such as ChatGPT.
For example, on August 15, China's "Interim Measures for the Management of Generative Artificial Intelligence Services" was officially implemented, aiming at issues such as the dissemination of false information, infringement of personal information rights and interests, data security and bias discrimination, etc., the measures stipulate specific rules including the use of AI-generated content shall not infringe on the portrait rights of others, and the identification of AI-generated content shall be carried out. In the future, the supervision of AI technology in various countries will become more and more stringent.
In short, although AI models have been widely used in many fields, they still face a variety of problems and challenges. However, it is undeniable that artificial intelligence will trigger the fourth major technological revolution of mankind, and its impact will be sustainable and far-reaching. It can be said that almost all fields, including consumption, employment, investment, education, etc., will be affected by AI technology, and people's lives and production methods will undergo earth-shaking changes. Therefore, at this moment, each of us should ponder how to make better use of them in the context of the rapid development of AI to meet our growing needs and achieve more advantages and results in a highly competitive modern society.
Of course, as one of the most important technological fields in the future human world, artificial intelligence is also the key to the continuous development and growth of countries, as well as the competition between major powersIt's time to think about it.
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