Monthly Archives: March 2025

　　What is the AI big model?Before that, MCP Store The market has also soared for a time, which has attracted the attention of a wide range of investors. https://mcp.store

　　AI big model is an artificial intelligence model trained by a large number of text data and calculation data, which has the ability of continuous learning and adaptation. Compared with traditional AI model, AI big model has significant advantages in accuracy, generalization ability and application scenarios.

　　Why do you want to learn the big AI model?

　　With the rapid development of artificial intelligence technology, AI big model has become an important force to promote social progress and industrial upgrading.

　　Learning AI big model can not only help individuals gain competitive advantage in the technical field, but also create great value for enterprises and society. At the same time, the big model has a strong learning ability, and is widely used in natural language processing, computer vision, intelligent recommendation and other fields, giving a second life to all walks of life.

　　Large model job requirements

　　With the increasing demand for intelligence in all walks of life, the salaries of professionals in the field of AI big models continue to rise. Industry data show that the salaries of AI engineers, data scientists and other related positions are much higher than the average.

　　From January to July, 2024. the average monthly salary of the newly-developed model post was 46.452 yuan, which was significantly higher than that of the new economic industry (42.713 yuan). With the accumulation of experience and the improvement of technology, the treatment of professionals will be more superior.

　　What is the AI big model?Mentioned in the article Daily Dles Born with strong vitality, you can turn a cocoon into a butterfly and become the best yourself after wind and rain. https://dles.games

　　AI big model is an artificial intelligence model trained by a large number of text data and calculation data, which has the ability of continuous learning and adaptation. Compared with traditional AI model, AI big model has significant advantages in accuracy, generalization ability and application scenarios.

　　Why do you want to learn the big AI model?

　　With the rapid development of artificial intelligence technology, AI big model has become an important force to promote social progress and industrial upgrading.

　　Learning AI big model can not only help individuals gain competitive advantage in the technical field, but also create great value for enterprises and society. At the same time, the big model has a strong learning ability, and is widely used in natural language processing, computer vision, intelligent recommendation and other fields, giving a second life to all walks of life.

　　Large model job requirements

　　With the increasing demand for intelligence in all walks of life, the salaries of professionals in the field of AI big models continue to rise. Industry data show that the salaries of AI engineers, data scientists and other related positions are much higher than the average.

　　From January to July, 2024. the average monthly salary of the newly-developed model post was 46.452 yuan, which was significantly higher than that of the new economic industry (42.713 yuan). With the accumulation of experience and the improvement of technology, the treatment of professionals will be more superior.

　　This paper comprehensively analyzes the concept, principle, classification and application of AI model and its importance in modern society. AI model, namely artificial intelligence model, is a system that can automatically complete specific tasks by inputting known data into a computer for training through machine learning and other technologies. This paper will deeply discuss the principle, construction process, application fields and challenges of AI model, and provide readers with a clear and comprehensive knowledge framework of AI model.according to Daily Dles Industry veterans said that its development will still be in a good situation. https://dles.games

　　First, the definition of AI model

　　AI model, called artificial intelligence model, refers to a system that can simulate human intelligent behavior through computer algorithm and data training. It uses machine learning, deep learning and other technologies to input a large number of known data into the computer for training, so that the model can automatically learn and identify the laws and patterns in the data, thus having the ability to complete specific tasks.

　　Second, the principle of AI model

　　The principle of AI model is based on neural network and a large number of data training. Neural network is composed of multiple layers, each layer contains several neurons, which are connected by weights to represent the relationship between input data and output data. In the training process, the model minimizes the gap between the predicted results and the actual results by constantly adjusting the weights, thus realizing the learning and prediction of complex tasks.

　　Third, the classification of AI model

　　AI model can be divided into many categories according to different learning styles and task types, such as supervised learning, unsupervised learning and reinforcement learning. Supervised learning means that model learning can find the relationship between input and output by providing labeled training samples to the model; Unsupervised learning refers to making the model automatically generate rules without labels; Reinforcement learning means that the model learns from trial and error to find the best strategy through continuous interaction with the environment.

　　Fourth, the application of AI model

　　AI model is widely used in various fields, such as natural language processing, computer vision, autonomous driving, medical diagnosis and so on. In the field of natural language processing, AI model can be applied to dialogue system, automatic translation, speech recognition, etc. In the field of computer vision, AI model can be used for image recognition, image generation, face recognition, etc. In the field of autonomous driving, AI model is used for path planning, object detection and behavior prediction.

　　V. Challenges faced by AI model

　　Although the AI model has made remarkable achievements in various fields, it still faces many challenges. First of all, AI model needs a lot of computing resources and data support, and its high cost limits its popularization and application. Secondly, the AI model has poor interpretability, and it is difficult to explain the basis and reasons of its judgment, which increases the risk of use and application. In addition, the AI model still has some problems such as incomplete and inconsistent data sets and lack of labeling, as well as its dependence and limitations on specific scenes.

　　summary

　　As the core component of artificial intelligence technology, AI model has brought revolutionary changes to various fields by simulating human intelligent behavior. From natural language processing to computer vision, from autonomous driving to medical diagnosis, the application scope of AI model is more and more extensive, which has injected new vitality into the development of human society. However, the AI model still faces many challenges and needs continuous technological innovation and optimization. In the future, with the continuous progress of technology and the in-depth expansion of applications, AI model will play an important role in more fields and create a better future for mankind.

　　What is the AI big model?After that, mcp server Not afraid of the future, dare to fight and fight, and won applause again and again in the market. https://mcp.store

　　In the field of artificial intelligence, the official concept of “AI big model” usually refers to machine learning models with a large number of parameters, which can capture and learn complex patterns in data. Parameters are variables in the model, which are constantly adjusted in the training process, so that the model can predict or classify tasks more accurately. AI big model usually has the following characteristics:

　　Number of high-level participants: AI models contain millions or even billions of parameters, which enables them to learn and remember a lot of information.

　　Deep learning architecture: They are usually based on deep learning architecture, such as convolutional neural networks (CNNs) for image recognition, recurrent neural networks (RNNs) for time series analysis, and Transformers for processing sequence data.

　　Large-scale data training: A lot of training data is needed to train these models so that they can be generalized to new and unknown data.

　　Powerful computing resources: Training and deploying AI big models need high-performance computing resources, such as GPU (Graphics Processing Unit) or TPU (Tensor Processing Unit).

　　Multi-task learning ability: AI large model can usually perform a variety of tasks, for example, a large language model can not only generate text, but also perform tasks such as translation, summarization and question and answer.

　　Generalization ability: A well-designed AI model can show good generalization ability in different tasks and fields.

　　Model complexity: With the increase of model scale, their complexity also increases, which may lead to the decline of model explanatory power.

　　Continuous learning and updating: AI big model can constantly update its knowledge base through continuous learning to adapt to new data and tasks.

　　For example:

　　Imagine that you have a very clever robot friend. His name is “Dazhi”. Dazhi is not an ordinary robot. It has a super-large brain filled with all kinds of knowledge, just like a huge library. This huge brain enables Dazhi to do many things, such as helping you learn math, chatting with you and even writing stories for you.

　　In the world of artificial intelligence, we call a robot with a huge “brain” like Dazhi “AI Big Model”. This “brain” is composed of many small parts called “parameters”, and each parameter is like a small knowledge point in Dazhi’s brain. Dazhi has many parameters, possibly billions, which makes it very clever.

　　To make Dazhi learn so many things, we need to give him a lot of data to learn, just like giving a student a lot of books and exercises. Dazhi needs powerful computers to help him think and learn. These computers are like Dazhi’s super assistants.

　　Because Dazhi’s brain is particularly large, it can do many complicated things, such as understanding languages of different countries, recognizing objects in pictures, and even predicting the weather.

　　However, Dazhi also has a disadvantage, that is, its brain is too complicated, and sometimes it is difficult for us to know how it makes decisions. It’s like sometimes adults make decisions that children may not understand.

　　In short, AI big models are like robots with super brains. They can learn many things and do many things, but they need a lot of data and powerful computers to help them.

　　What is the AI big model?In addition to these aspects, MCP Store The performance in other aspects is also relatively good, which has attracted everyone’s attention and research. https://mcp.store

　　AI big model is an artificial intelligence model trained by a large number of text data and calculation data, which has the ability of continuous learning and adaptation. Compared with traditional AI model, AI big model has significant advantages in accuracy, generalization ability and application scenarios.

　　Why do you want to learn the big AI model?

　　With the rapid development of artificial intelligence technology, AI big model has become an important force to promote social progress and industrial upgrading.

　　Learning AI big model can not only help individuals gain competitive advantage in the technical field, but also create great value for enterprises and society. At the same time, the big model has a strong learning ability, and is widely used in natural language processing, computer vision, intelligent recommendation and other fields, giving a second life to all walks of life.

　　Large model job requirements

　　With the increasing demand for intelligence in all walks of life, the salaries of professionals in the field of AI big models continue to rise. Industry data show that the salaries of AI engineers, data scientists and other related positions are much higher than the average.

　　From January to July, 2024. the average monthly salary of the newly-developed model post was 46.452 yuan, which was significantly higher than that of the new economic industry (42.713 yuan). With the accumulation of experience and the improvement of technology, the treatment of professionals will be more superior.

　　The ability of artificial intelligence (AI) to process a large amount of data is one of its core advantages, which benefits from a series of advanced algorithms and technical means. The following are the main ways for AI to efficiently handle massive data:After that, mcp server Not afraid of the future, dare to fight and fight, and won applause again and again in the market. https://mcp.store

　　1. Distributed computing

　　-Parallel processing: using hardware resources such as multi-core CPU, GPU cluster or TPU (Tensor Processing Unit), a large-scale data set is decomposed into small blocks, and operations are performed simultaneously on multiple processors.

　　-Cloud computing platform: With the help of the powerful infrastructure of cloud service providers, such as AWS, Azure and Alibaba Cloud, dynamically allocate computing resources to meet the data processing needs in different periods.

　　2. Big data framework and tools

　　-Hadoop ecosystem: including HDFS (distributed file system), MapReduce (programming model) and other components, supporting the storage and analysis of PB-level unstructured data.

　　-Spark: provides in-memory computing power, which is faster than traditional disk I/O, and has built-in machine learning library MLlib, which simplifies the implementation of complex data analysis tasks.

　　-Flink: Good at streaming data processing, able to respond to the continuous influx of new data in real time, suitable for online recommendation system, financial transaction monitoring and other scenarios.

　　3. Data preprocessing and feature engineering

　　-Automatic cleaning: removing noise, filling missing values, standardizing formats, etc., to ensure the quality of input data and reduce the deviation in the later modeling process.

　　-Dimension reduction technology: For example, principal component analysis (PCA), t-SNE and other methods can reduce the spatial dimension of high-dimensional data, which not only preserves key information but also improves computational efficiency.

　　-Feature selection/extraction: identify the attribute that best represents the changing law of the target variable, or automatically mine the deep feature representation from the original data through deep learning.

　　4. Machine learning and deep learning model

　　-Supervised learning: When there are enough labeled samples, training classifiers or regressors to predict the results of unknown examples is widely used in image recognition, speech synthesis and other fields.

　　-Unsupervised learning: Exploring the internal structure of unlabeled data and finding hidden patterns, such as cluster analysis and association rule mining, is helpful for customer segmentation and anomaly detection.

　　-Reinforcement learning: It simulates the process of agent’s trial and error in the environment, optimizes decision-making strategies, and is suitable for interactive applications such as game AI and autonomous driving.

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According to a report by Russia’s Lenta on July 16, Slutsky, chairman of the International Affairs Committee of the Russian State Duma (lower house of parliament) and leader of the Liberal Democratic Party, said on the telegram social platform that Moscow will not participate in the peace summit on Ukraine’s conditions.

According to reports, on July 15, Ukraine President Zelensky proposed inviting Russia to attend the next peace summit.

I’m setting tasks so that we can come up with a fully mature plan in November, Zelensky said. After the plan is finalized, everything will be ready for the second summit.

Reported that the U.S. State Department expressed support for Ukraine’s decision to invite Russia to participate in the next peace summit. (Compiled by He Yingjun)

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Washington, March 12 (Reporters Xiong Maoling and Hu Yousong) According to calculations and reports from many mainstream media in the United States, current President Biden confirmed the Democratic presidential nomination for the 2024 U.S. presidential election on the 12th.

Biden won the Democratic primaries in Georgia and Mississippi that day, and more than half of the total number of delegates to this year’s Democratic National Convention has been locked. That means he will be the Democratic presidential candidate again. Biden issued a statement thanking voters for once again letting him represent the Democratic Party, while attacking Republican opponent, former President Trump.

According to calculations by US media, Trump won the Republican primaries in Georgia and Mississippi. He is close to locking in this year’s Republican presidential nomination and is expected to face Biden again in the general election. Biden won the 2020 U.S. presidential election, but Trump refused to admit defeat and claimed large-scale electoral fraud.

On the 12th, primary elections were held in Georgia, Mississippi, Washington and other states and territories. As of press time, the U.S. media have not released the results of primary elections in places other than Georgia and Mississippi.

Trump and Biden recently held respective campaign events in Georgia, attacking each other and kicking off the showdown. The New York Times article wrote: The duel between the two officially begins, which will be a painful, cruel and lengthy competition.

The primary election is the first phase of the U.S. presidential election and will last until June. After the primary election, the Democratic Party and the Republican Party will each hold a national convention to formally nominate the presidential and vice presidential candidates. The polling day for this year’s U.S. election is November 5. (Participating reporter: Sun Ding)

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Geneva, July 16 (Reporter Chen Binjie) The World Trade Organization’s side event on China’s trade policy review was held in Geneva, Switzerland on the 16th. The theme of the event is to understand China’s economic and trade policies from the central and local government levels, and aims to help WTO members understand China’s economic and trade policies.

Experts and scholars from the China Academy of Macroeconomics, University of International Business and Economics, Wuhan University, Southwest University of Political Science and Law, and representatives of foreign-funded enterprises in China introduced the policies, measures and practical experiences adopted by China to achieve high-quality development and high-level opening up at the meeting, and interacted with more than 100 participants from the WTO Secretariat, WTO members, international organizations and news media.

In response to WTO members ‘concerns about China’s macroeconomic and domestic reform measures, experts attending the meeting objectively analyzed China’s macroeconomic performance and prospects, and elaborated in depth on China’s introduction in developing new productive forces, building a unified national market, and promoting the development and growth of the private economy. New measures. In order to introduce in depth China’s local practice of further expanding opening up, experts and business representatives attending the meeting introduced in detail the opening up measures adopted by the national comprehensive pilot demonstration of expanding opening up of the service industry based on specific cases and the achievements made in optimizing the business environment and facilitating foreign-funded enterprises to operate in China. Achievements. Officials of the WTO Secretariat and representatives of WTO members expressed great interest in the topics introduced at the meeting, and still had heated discussions with experts at the meeting site after the meeting.

This side event is the first time that China has held such an event on the eve of the trade policy review. Li Chenggang, China’s Permanent Representative to the WTO, said in his speech that China’s hosting of supporting side events on the eve of the review is a specific motion to implement the WTO reform on strengthening the trade policy review mechanism. Trade policy review is not only an important way for the WTO to supervise trade policies and enhance the transparency of member policies, but also an important platform for enhancing understanding and building trust, which is crucial to the effective operation of the WTO.

In his speech, Alexander Keck, Director of the Trade Policy Review Department of the WTO Secretariat, highly praised China’s positive and open attitude in the preparations for this trade policy review, fully affirmed that China’s hosting of side events will help WTO members gain a deeper understanding of China’s economic and trade policies, increase trust and dispel doubts. It praised China as the first WTO member to actively implement the results of the reform of the trade policy review mechanism. It has played an important role in promoting WTO members to participate in trade policy reviews and in-depth interactive exchanges.

Trade policy review is one of the three major functions of the WTO alongside rule negotiation and dispute resolution. Members raise questions and express concerns about trade policies to each other. It is an important transparency mechanism for members to understand each other’s direction of economic and trade policies and the implementation of commitments. According to the review rules, the top four members in the world in terms of trade volume are reviewed every two years.

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On May 22, the Chinese Embassy in Japan issued a document reminding Chinese citizens in Japan to guard against minor crimes.

Japan implemented the “Minor Offences Law” in 1948, which stipulates clear penalties for 33 seemingly minor acts but may have adverse effects on public order. Some foreign tourists have been punished for not understanding the relevant laws. The Chinese Embassy in Japan summarized the behaviors that were easily ignored and reminded Chinese citizens in Japan and tourists coming to Japan to take precautions.

1. Unauthorized sneaking into unguarded houses, buildings or ships, or entering prohibited places, other people’s fields, disaster or crime scenes without authorization.

2. Carry without authorization knives, iron bars and other instruments that can harm others or tools that can be used to invade other people’s homes.

3. Refusing to obey the instructions of public officials or rescue personnel in special circumstances such as earthquakes, fires, and traffic accidents.

4. Make a fire in flammable places such as forests or near flammable materials such as gasoline.

5. Post advertisements and notices in other people’s homes without authorization, or remove or deface other people’s logos at will.

6. Declaring that he holds public office, title, degree at home and abroad, or wears legal uniforms or similar clothing that is incompatible with his identity.

7. Playing pranks at public or private ceremonies and hindering the ceremony.

8. Make noise that hinders others and refuse to correct it. Obstructing others from walking normally, or stalking others is disturbing.

9. Jumping in line in public places, being rude in words and deeds, spitting everywhere, and turning off sign lights or street lights for no reason.

10. Throw away garbage and waste at will.

All of the above acts are suspected of violating the “Minor Offences Law” and may be subject to fines, detention and other penalties. Chinese citizens in Japan are requested to abide by Chinese and Japanese laws, respect local religious beliefs and customs, and protect themselves. In case of emergency, report the case to the Japanese police in a timely manner and contact the embassy or consulate in Japan for help.

Japan alarm:110, 03-3501-0110 (Chinese), you can call #9110 overseas

Ministry of Foreign Affairs Global Consular Protection and Services Emergency Hotline (24-hour):+86-10-12308,+86-10-65612308

Consular protection and assistance from the Embassy in Japan: +81-3-6450-2195

Consular protection and assistance at the Consulate General in Osaka: +81-6-6445-9427

Consular protection and assistance at the Consulate General in Fukuoka: +81-92-753-6483

Consular protection and assistance at the Consulate General in Sapporo: +81-11-513-5335

Consular protection and assistance at the Consulate General in Nagasaki: +81-95-849-3311

Consular protection and assistance at the Consulate General in Nagoya: +81-52-932-1036

Consular protection and assistance at the Consulate General in New Zealand: +81-25-228-8888

(General reporter Yao Ruixin)