Monthly Archives: April 2025

　　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: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

　　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.

　　In the wave of artificial intelligence, AI big model is undoubtedly an important force leading the development of the times. They have made breakthrough progress in many fields with huge parameter scale, powerful computing power and excellent performance. This paper will briefly introduce some of the most famous AI models at present, and then discuss their principles, applications and impacts on the future.contemporaneity mcp server Our competitors have not made large-scale improvements, so we should get ahead of everyone in the project. https://mcp.store

　　I. Overview of AI big model

　　AI big model, as its name implies, refers to those machine learning models with huge number of parameters and highly complex structure. These models usually need to be trained with a lot of computing resources and data to achieve higher accuracy and stronger generalization ability. At present, the most famous AI models include GPT series, BERT, T5. ViT, etc. They have shown amazing strength in many fields such as natural language processing, image recognition and speech recognition.

　　Second, GPT series: a milestone in natural language processing

　　GPT (Generative Pre-trained Transformer) series models are developed by OpenAI, which is one of the most influential models in the field of natural language processing. Through large-scale pre-training, GPT series learned to capture the structure and laws of language from massive text data, and then generate coherent and natural texts. From GPT-1 to GPT-3. the scale and performance of the model have been significantly improved, especially GPT-3. which shocked the whole AI world with its 175 billion parameters.

　　Third, BERT: the representative of deep bidirectional coding

　　Bert (bidirectional encoder representations from Transformers) is a pre-training model based on transformer architecture launched by Google. Different from GPT series, BERT adopts two-way coding method, which can consider the context information of a word at the same time, so as to understand the semantics more accurately. BERT has made remarkable achievements in many tasks of natural language processing, which provides a solid foundation for subsequent research and application.

　　T5: Multi-task learning under the unified framework

　　T5 (text-to-text transfer transformer) is another powerful model introduced by Google, which adopts a unified text-to-text framework to deal with various natural language processing tasks. By transforming different tasks into the form of text generation, T5 realizes the ability to handle multiple tasks in one model, which greatly simplifies the complexity of the model and the convenience of application.

　　V. ViT: a revolutionary in the visual field

　　ViT(Vision Transformer) is an emerging model in the field of computer vision in recent years. Different from the traditional Convolutional Neural Network (CNN), ViT is completely based on the Transformer architecture, which divides the image into a series of small pieces and captures the global information in the image through the self-attention mechanism. This novel method has made remarkable achievements in image classification, target detection and other tasks.

　　Sixth, the influence and prospect of AI big model

　　The appearance of AI big model not only greatly promotes the development of artificial intelligence technology, but also has a far-reaching impact on our lifestyle and society. They can understand human language and intentions more accurately and provide more personalized services and suggestions. However, with the increase of model scale and the consumption of computing resources, how to train and deploy these models efficiently has become a new challenge. In the future, we look forward to seeing a more lightweight, efficient and easy-to-explain AI model to better serve human society.

　　VII. Conclusion

　　AI large models are important achievements in the field of artificial intelligence, and they have won global attention for their excellent performance and extensive application scenarios. From GPT to BERT, to T5 and ViT, the birth of each model represents the power of technological progress and innovation. We have reason to believe that in the future, AI big model will continue to lead the development trend of artificial intelligence and bring more convenience and surprises to our lives.

　　What is the AI big model?According to professional reports, mcp server There will be a great period of growth, and the market business is constantly expanding, and it will definitely become bigger and bigger in the future. 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.

　　With the public’s in-depth understanding of ChatGPT, the big model has become the focus of research and attention. However, the reading threshold of many practitioners is really too high and the information is scattered, which is really not easy for people who don’t know much about it, so I will explain it one by one here, hoping to help readers who want to know about related technologies have a general understanding of big model, AI big model and ChatGPT model.from mcp server Looking at the development prospects, the future will always bring positive effects. https://mcp.store

　　* Note: I am a non-professional. The following statements may be imprecise or missing. Please make corrections in the comments section.

　　First, the big model

　　1.1 What is the big model?

　　Large model is the abbreviation of Large Language Model. Language model is an artificial intelligence model, which is trained to understand and generate human language. “Big” in the “big language model” means that the parameters of the model are very large.

　　Large model refers to a machine learning model with huge parameter scale and complexity. In the field of deep learning, large models usually refer to neural network models with millions to billions of parameters. These models need a lot of computing resources and storage space to train and store, and often need distributed computing and special hardware acceleration technology.

　　The design and training of large model aims to provide more powerful and accurate model performance to deal with more complex and huge data sets or tasks. Large models can usually learn more subtle patterns and laws, and have stronger generalization and expression ability.

　　Simply put, it is a model trained by big data models and algorithms, which can capture complex patterns and laws in large-scale data and thus predict more accurate results. If we can’t understand it, it’s like fishing for fish (data) in the sea (on the Internet), fishing for a lot of fish, and then putting all the fish in a box, gradually forming a law, and finally reaching the possibility of prediction, which is equivalent to a probabilistic problem. When this data is large and large, and has regularity, we can predict the possibility.

　　1.2 Why is the bigger the model?

　　Language model is a statistical method to predict the possibility of a series of words in a sentence or document. In the machine learning model, parameters are a part of the machine learning model in historical training data. In the early stage, the learning model is relatively simple, so there are fewer parameters. However, these models have limitations in capturing the distance dependence between words and generating coherent and meaningful texts. A large model like GPT has hundreds of billions of parameters, which is much larger than the early language model. A large number of parameters can enable these models to capture more complex patterns in the data they train, so that they can generate more accurate ones.

　　Second, AI big model

　　What is the 2.1 AI big model?

　　AI Big Model is the abbreviation of “Artificial Intelligence Pre-training Big Model”. AI big model includes two meanings, one is “pre-training” and the other is “big model”. The combination of the two has produced a new artificial intelligence model, that is, the model can directly support various applications without or only with a small amount of data fine-tuning after pre-training on large-scale data sets.

　　Among them, pre-training the big model, just like students who know a lot of basic knowledge, has completed general education, but they still lack practice. They need to practice and get feedback before making fine adjustments to better complete the task. Still need to constantly train it, in order to better use it for us.

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[A man in Kenya is suspected of murdering 42 women and dismembering and dumping their bodies in slums, including his wife” target=_blank>

On July 15, Kenyan police said they had arrested a man suspected of murdering 42 women and dumping their bodies in a slum. The man is suspected of killing 42 women, including his wife, starting in 2022.

Police said they had received a report from the family of one of the missing women and found the remains of nine people in the slum on the 13th.

On the 15th, police arrested the man near a bar in Nairobi, saying that the man lived only 100 meters away from where the remains were found. Police also found knives, nylon bags, rope, industrial gloves, women’s handbags and women’s underwear at the man’s residence.

Police are currently conducting further investigations into the man.

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According to Agence France-Presse reported on March 18, the White House said on the 18th that Israel killed the third leader of the Hamas militant group last week. Israel had previously said he was the target of a Gaza airstrike but had not confirmed his death.

Reports said that when introducing the phone call between U.S. President Biden and Israeli Prime Minister Netanyahu, Jack Sullivan, U.S. Presidential National Security Assistant Jack Sullivan said: Hamas’s third-in-command figure Marwan Issa was killed in an Israeli operation last week.

Sullivan said Israel also defeated many Hamas troops and killed more than 1000 Hamas fighters, including senior commanders.

The report also stated that he said: Other top leaders are in hiding, probably deep in Hamas ‘tunnels.

The Israeli military said on March 11 that an air strike on an underground building in central Gaza from March 9 to 10 targeted Issa, calling him one of the planners of Hamas’s October 7 attack on Israel last year. Israeli military spokesman Major-General Daniel Hagari said at the time that Issa was the deputy to Mohammed Dave, leader of the Qassam Brigade in Izdin.

But Hagari said at the time that it was unclear whether Issa was killed in the operation. He said: We are still reviewing the results of the attack and have not yet received a final confirmation.

The report mentioned that the Israeli military announced on the 18th that in a large-scale operation on Gaza’s largest hospital that day, dozens of Palestinian fighters were killed and more than 200 arrested. Hundreds of civilians were forced to flee the surrounding areas of the hospital. Attack area.

On the evening of the 18th, Israeli troops continued the operation at Shifa Hospital in Gaza City that began at dawn. Previously, the Israeli army had claimed that high-level Hamas members were present in the hospital.

Israeli army spokesman Hagari declared: We cleared more than 20 terrorists from the hospital and killed 20 others in the surrounding area. More than 200 people believed to be terrorists were also arrested.

Shortly after the Israeli operation began, Hamas’s Ministry of Health said dozens of people were killed and injured, most of them civilians.

At the beginning of the war between Israel and Hamas, hospitals in the Gaza Strip were often targeted by Israeli troops. The Israeli army captured Shifa Hospital on November 15 last year, but later evacuated. (Compiled by Li Sha and Lu Longjun)

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According to a report by DPA on May 15, Slovakia Prime Minister Robert Fizo was seriously injured in an attempted assassination on the 15th. After several hours of surgery, he has regained consciousness.

Reports by Slovakia TA3 TV and Independent Daily on the evening of the 15th did not provide further information on Fizo’s health.

According to official news released on the evening of the 15th, 59-year-old Fizo’s life is in danger.

Reports mentioned that Fizo was shot by a 71-year-old man in the country’s mining town of Handlowa. According to witnesses, the man shot Fizo several times as he greeted supporters after a cabinet meeting.

According to the government, the shooting was politically motivated. Media reports said that the gunman’s wife was also interrogated by the police.

According to a Reuters report on May 15, the gunman who attacked Slovakia Prime Minister Fizo fired five shots in a row, putting him in critical condition and undergoing several hours of surgery.

Slovakia Deputy Prime Minister and Minister of the Environment Tomashtaraba told reporters: Fortunately, the operation went smoothly. I think he will survive in the end and is now out of danger.

Taraba also revealed that one bullet penetrated Fizo’s abdomen and another hit a joint.

Slovakia Media A quoted unnamed source as saying that Fizo’s surgery has ended and is currently in stable condition. (Compiled by Guo Jun)

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According to the Tass news agency, a man threw a cigarette butt into the sewer in Hasavur, Republic of Dagestan, Russia, and caused an explosion, killing himself and his companions.

According to reports, surveillance footage showed that at the time of the incident, the man and his companion parked the car on the roadside, got off the bus and smoked together, and then threw the cigarette butts into the sewer. Subsequently, the cigarette butts ignited the gas in the sewer, causing a violent explosion. The two people were killed on the spot, and even the nearby cameras were tilted.

Reported that failure to follow safety precautions resulted in an explosion of acetylene gas-air mixture in the sewer.

According to preliminary information obtained from the investigation, the two men were housing and public service employees and were doing technical work in a nearby residential building.

Currently, the local police are handling the incident.

Wen| Reporter Leng Shuang

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CCTV reporters learned that on July 15, local time, former U.S. President Trump announced at the Republican National Convention in Milwaukee, Wisconsin that Ohio Senator James David Vance (JDV) would serve as his vice presidential candidate. Participate in the 2024 presidential election.

James David Vance was born on August 2, 1984 in Middletown, Ohio. He served in the U.S. Marine Corps, is a writer and venture capitalist, and was elected to the Republican U.S. Senate in 2022. (CCTV reporter Liu Xiaoqian)

Related reports:

The US Republican Party officially nominated Trump as its presidential candidate

On July 15, local time, at the Republican National Convention of the United States in Milwaukee, Wisconsin, a Republican representative announced that Trump would participate in this year’s U.S. presidential election as the Republican presidential candidate.

Subsequently, at the Republican National Convention, former U.S. President Trump received enough Republican delegate votes and was officially nominated as the party’s presidential candidate in the 2024 general election. (General reporter Liu Xiaoqian)

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Russian President Vladimir Putin said on the 13th that he would redeploy troops on the border between Russia and Finland in response to Finland’s accession to NATO, UPI reported on March 13.

Reported that Putin said in an interview with Russian state media that from the perspective of safeguarding national interests, the actions of Finland and Sweden are absolutely meaningless.

We used to have a good relationship with Finland on the whole, he said. It’s perfect. The two countries do not covet each other, especially territorial claims, let alone other areas. We didn’t even have troops at the border; we withdrew all our troops from the Finnish border.

But this is their decision, Putin said. Now that they have decided that we did not have troops there in the past, we will have them now.

It is reported that in 2022, shortly after Russia sent troops to Ukraine, Finland and Sweden applied to join NATO. Finland became a member of NATO in April last year, and Sweden did not formally join until last week because of opposition from Hungary and Turkey.

Putin’s remarks came after Finnish Prime Minister Peter Riolpo told the European Parliament in Strasbourg that other EU countries must follow Finland’s example and strengthen security in marginal areas. (compiled by Wang Dongdong)

Related news recommendations:

Putin warns the West: ready for nuclear war

Russian President Vladimir Putin has warned the West that Russia is technically ready for a nuclear war and that if the United States sends troops to Ukraine, it will be seen as a major escalation of the war, Reuters reported on March 13.

Putin accepted a joint interview with Russia-1 Channel and Russian News Agency on the 12th. The program about this interview was officially broadcast on the 13th.

In response to the question of whether Russia is really ready to fight a nuclear war, Putin said: from the perspective of military technology, we are certainly ready, the report said.

Putin pointed out that the United States understands that if it deploys US troops on Russian territory or in Ukraine, Russia will regard this as intervention. So while I don’t think it’s all in a hurry to [nuclear confrontation” target=_blank>, we are ready for it, he said.

The conflict in Ukraine triggered the most serious crisis in relations between Russia and the West since the Cuban missile crisis in 1962. Putin has repeatedly warned that if the West sends troops to fight in Ukraine, it could lead to a nuclear war.

In the interview, Putin reiterated that the use of nuclear weapons is something already stated in the Kremlin’s nuclear policy, which sets out the possible use of nuclear weapons by Russia.

Putin said: weapons exist to use them. We have our own principles.

The report also said that for the conflict in Ukraine, which has lasted for two years, Putin said that Russia is ready to hold serious talks on the Ukraine issue.

Putin said: Russia is ready to negotiate on Ukraine, but the negotiations should be based on reality, not on desire after the use of psychotropic substances.

Reuters reported last month that Putin’s proposal to cease fire in Ukraine to freeze the war was rejected by the United States after middlemen between Russia and the United States.

According to the report, he also said in an interview that if the United States conducts a nuclear test, Russia may do the same.

We may not have to consider this issue, but I do not rule out the possibility that we will do the same, he said. (compiled by Longjun)