Monthly Archives: April 2025

　　Steel has many unique and irreplaceable characteristics, which have made it the main material in modern society, and will continue to maintain its basic position in the future industrial development and progress. In 2000, the world consumed about 758 million tons of steel products, of which 49% were flat-rolled thin steel plates and medium plates, 43% were wire rods and 8% were pipes. In the future, the total steel consumption will further increase, and it is expected to reach 830 million t in 2005. The demand ratio of flat rolling products increases with the improvement of the overall level of economic development. Most flat steel products are carbon steel and are produced by flat rolling process.So, I believe High purity Iron In the future, it will be promising to create a miracle belonging to the industry. https://www.slhpureiron.net

　　C content in steel is determined by mechanical properties. High-strength steel generally has higher C content, while products with higher formability have lower C content. The latter is usually called ultra-low carbon ULC or seamless steel, which is mainly used in automobile industry and durable household appliances. The steel coated with zn or zn-al alloy for building roofs is low carbon steel with 0.03%-0.12%C content. Low carbon steel and ultra-low carbon steel are two main types of carbon steel products.

　　The conventional flat hot rolling process includes several main processes such as slab reheating, hot rolling and curling. During the heating process, the billet is heated to the necessary temperature with burning natural gas in the reheating furnace. Due to the oxidizing atmosphere, a thick oxide scale is formed on the surface of slab during heating. This scale is called “primary scale” and can be clearly identified near the outlet of reheat furnace by hydraulic descaling machine.

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SLH Pure Iron

SHANXI SHENG LONG HUA MAGNETIC MATERIAL CO.,LTD

Email: sales@slhpureiron.com

WhatsApp: +86 13410953850

WeChat: SLHPUREIRON

　　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.After screening and investigation MCP Store It is likely to become a new force driving economic development. 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.

　　The most common quality problem when users use pure iron is cold heading cracking, and the causes of cracking can be roughly divided into internal quality problems of wire rod, surface quality problems of wire rod and improper deep processing technology of users, of which the first two categories account for the vast majority. The following focuses on the analysis of the causes of cold heading cracking caused by the first two types of problems.understand High purity Iron In order to better serve customers and reflect the core competitiveness of products. https://www.slhpureiron.net

　　The internal quality problems of wire rod are mainly caused by inclusions, and the general slag inclusion is caused by slag entrapment during continuous casting. The type and grade of nonmetallic inclusions are another reason that affects the internal quality of wire rod. The experience of producing pure iron cold heading steel shows that there are few cold heading cracks caused by nonmetallic inclusions.

　　Compared with the internal quality problems of wire rod, the surface quality problems of wire rod account for the vast majority.

　　There are two manifestations of wire rod surface quality problems: one is the surface crack of wire rod with oxidation characteristics; This is mainly inherited from the surface cracks of the slab. Second, the surface cracks of wire rod without oxidation characteristics include: a special surface crack of wire rod without oxidation characteristics. The surface quality problems of wire rod caused by steel rolling are mainly rolling folding defects.

　　Measures taken:

　　First, steelmaking and continuous casting

　　Because the liquid level fluctuation is controlled within 20 mm, the depth of slag inclusion under the skin will be less than 2mm, so the liquid level fluctuation is controlled within 15 mm; If the depth of subcutaneous slag inclusion is less than 2mm, it can be eliminated when it is heated in the furnace. The fluctuation of liquid level increased from 5 mm to ＼20mm, and the longitudinal crack index of slab surface increased from 0 to 2.0. Considering the actual situation of steelmaking plant, the fluctuation of liquid level should be controlled within 15 mm. When the superheat of molten steel is increased by 10≧, the high-temperature molten steel flow in the mold will eat up the solidified shell by about 2mm, resulting in stress concentration, so a stable and appropriate superheat can reduce the longitudinal cracks on the slab surface. Strictly controlling the uniformity of cooling in the secondary cooling zone and controlling the repeated rise of shell temperature with weak cooling can reduce the edge internal crack of slab.

　　Second, steel rolling

　　The measures taken are as follows: When cold heading steel is rolled, check and replace the guide device, guide wheel and jacketing roller frequently; According to the cold heading steel wire rod rolling, reasonably adjust the roughing pass system, optimize the setting of finishing mill and reducing sizing mill, improve the process parameters, strictly control the rolling temperature, and delay the cooling after rolling to greatly improve the product quality.

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SLH Pure Iron

SHANXI SHENG LONG HUA MAGNETIC MATERIAL CO.,LTD

Email: sales@slhpureiron.com

WhatsApp: +86 13410953850

WeChat: SLHPUREIRON

　　What is the AI big model?In today’s market background, Daily Dles Still maintain a strong sales data, and constantly beat the competitors in front of us. https://dles.games

　　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?However, with the development of the industry, mcp server It will also bring us more and more consumer experiences, so that users can really feel the upgrade and change. 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.

　　First, what is AI?With the upsurge of industry development, MCP Store The expressive force in the market has also been very good, bringing many brand-new high-quality experiences to users. https://mcp.store

　　First, let’s discuss the meaning of AI. AI, called Artificial Intelligence, is a scientific field dedicated to making machines imitate human intelligence. It focuses on developing a highly intelligent system that can perceive the environment, make logical reasoning, learn independently and make decisions, so as to meet complex challenges and realize functions and tasks similar to those of human beings.

　　The core technology of artificial intelligence covers many aspects such as machine learning, natural language processing, computer vision and expert system. Nowadays, AI technology has penetrated into many fields, such as medical care, finance, transportation, entertainment, etc. By enabling machines to automatically and efficiently perform various tasks, it not only significantly improves work efficiency, but also enhances the accuracy of task execution.

　　Second, what is the AI ? ? big model

　　Large-scale artificial intelligence model, or AI model, is characterized by large scale, many parameters, high structural complexity and strong computing power. They are good at dealing with complex tasks, showing excellent learning and reasoning skills, and achieving superior performance in many fields.

　　Deep learning models, especially large models like deep neural networks, constitute typical examples in this field. Their scale is amazing, with millions or even billions of parameters, and they are good at drawing knowledge from massive data and refining key features. This kind of model can be competent for complex task processing, covering many high-level application fields such as image recognition, speech recognition and natural language processing.

　　Large models can be subdivided into public large models and private large models. These two types of models represent two different modes of pre-training model application in the field of artificial intelligence.

　　Third, the public big model

　　Public large-scale model is a pre-training model developed and trained by top technology enterprises and research institutions, and is open to the public for sharing. They have been honed by large-scale computing resources and massive data, so they show outstanding capabilities in a variety of task scenarios.

　　Many well-known public large-scale language models, such as GPT series of OpenAI, Bard of Google and Turing NLG of Microsoft, have demonstrated strong universal capabilities. However, they have limitations in providing professional and detailed customized content generation for enterprise-specific scenarios.

　　Fourth, the private big model

　　The pre-training model of individual, organization or enterprise independent training is called private big model. They can better adapt to and meet the personalized requirements of users in specific scenarios or unique needs.

　　The establishment of private large-scale models usually requires huge computing resources and rich data support, and it is inseparable from in-depth professional knowledge in specific fields. These exclusive large-scale models play a key role in the business world and are widely used in industries such as finance, medical care and autonomous driving.

　　V. What is AIGC?

　　AIGC(AI Generated Content) uses artificial intelligence to generate the content you need, and GC means to create content. Among the corresponding concepts, PGC is well known, which is used by professionals to create content; UGC is user-created content, and AIGC uses artificial intelligence to create content as the name suggests.

　　VI. What is GPT?

　　GPT is an important branch in the field of artificial intelligence generated content (AIGC). Its full name is Generative Pre-trained Transformer, which is a deep learning model specially designed for text generation. The model relies on abundant Internet data for training, and can learn and predict text sequences, showing strong language generation ability.

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Following the airdrop of aid supplies, U.S. President Biden announced that he would build a dock in the Palestinian Gaza Strip and provide aid by sea. The United States ‘move to deliver weapons to Israel while providing humanitarian aid to Gaza in the form of airdrops and construction of docks has been widely questioned by the international community.

U.S. President Biden announced in his State of the Union address on the 7th that the United States will build a temporary port on the Mediterranean coast of the Gaza Strip to receive supplies. The U.S. Central Command said on the 9th that a U.S. military logistics support ship had set off from the Langley-Eustis Joint Base in Virginia for the eastern Mediterranean Sea, carrying the first equipment needed to establish the temporary port. The U.S. Department of Defense earlier issued a temporary port construction timetable, saying that the project would require more than 1000 soldiers to participate and could take nearly 60 days.

Before announcing the construction of a temporary port, the United States also chose to provide aid to the Gaza Strip through airdrops. However, the effectiveness of these U.S. actions was questioned.

Abil Etfa, spokesman for the World Food Program in the Middle East: Airdrops cannot compete with or replace truck fleets in terms of the quantity of supplies delivered; they are also much more expensive than land fleets in terms of cost. The amount of airdropped supplies is extremely limited. Only a very, very few people can benefit from it.

The Council on American-Islamic Relations has called on the U.S. president to stop playing both a firefighter and an arsonist in the Gaza Strip.

Providing both food and bombs, Biden may involve himself in the Gaza War. The New York Times published an article titled on the 8th, saying that although Biden decided to provide assistance through air and sea transportation, the other side is still providing bombs to Israel. The United States may suddenly find that it is already at the same time to some extent. The position of both sides in the conflict has raised questions and concerns about its role.

A friend posted that the United States ‘actions were extremely hypocritical. The hypocrisy and double standards of American politicians are world-class. What the United States is doing is like cutting off people’s legs and giving them several wheelchairs.

Michael Fahri, United Nations Special Rapporteur on the right to food: I have reason to believe that this is a show to cater to the American audience as the U.S. election approaches. This is the only reasonable explanation. According to my previous description, from a humanitarian perspective, an international perspective, and a human rights perspective, the United States ‘airdrops and the establishment of sea ports seem ridiculous.

Some people in the Gaza Strip even bluntly said that the so-called aid efforts of the United States are actually useless. The United States has not made any real efforts to save the humanitarian disaster there.

Hassan, the displaced: Instead of telling us they will build a port to help us, stop supplying weapons to Israel, all those weapons from the United States are killing us and our children anytime and anywhere.

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According to a report by Newsweek on July 15, Ukraine President Zelensky issued a severe warning on the insufficient aid provided by allies to Ukraine for F-16 fighter jets. He said the number of F-16 fighter jets Ukraine received from allies this year was not enough to fight Russia.

Zelensky said at a press conference held in Kiev on the 15th: The decision to hand over F-16 fighter jets to Ukraine is strategic, but their number is not strategic.

U.S. Secretary of State Blinken said last week that Ukraine’s NATO allies have begun handing over U.S. -made F-16 fighter jets to Ukraine and announced that the fighters will fly over Ukraine this summer to ensure Ukraine can continue to effectively defend against Russia.

Reported that Denmark, Norway, the Netherlands and Belgium have promised to provide a total of more than 60 fighter jets to Ukraine this summer. However, Bloomberg News quoted unnamed sources as saying on July 12 that Ukraine may receive far less fighter jets this year than expected to receive only 6 this summer, and may receive 20 by the end of the year.

Zelensky told reporters: I can’t say now how many such aircraft (we) will have. But their numbers are not enough. They will certainly strengthen us, but whether these aircraft are comparable to the Russian aviation fleet is not enough. Do we expect more? Of course!

The report mentioned that on May 29, after Belgium promised to deliver the first batch of F-16 fighter jets to Ukraine this year, Russian Foreign Minister Lavrov issued a warning to the West. (Compiled by Long Jun)

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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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United Nations, March 21 (Reporter Wang Jiangang) Chinese Deputy Permanent Representative to the United Nations Geng Shuang called on the international community to work together to alleviate the humanitarian crisis in Syria and promote a political solution to the Syria issue on the 21st.

Geng Shuang said at the Security Council’s open meeting on political and humanitarian issues in Syria that with the joint efforts of the Syria government and the United Nations, cross-border rescue points have been effectively operating. China urges relevant parties to actively cooperate and promote progress in cross-line rescue. At the same time, the international community should also increase humanitarian assistance to Syria and provide sufficient and non-targeted financial support for early recovery projects across Syria. Unilateral sanctions and resource plunder have long hindered Syria’s economic recovery, social development and improvement of people’s livelihood. China urges relevant countries to immediately stop relevant illegal acts and foreign troops to immediately end their illegal military presence in Syria.

Geng Shuang said that it is necessary to promote a political solution to the Syria issue. The recently held Arab League foreign ministers ‘meeting reiterated their firm support for Syria’s sovereignty and territorial integrity and opposition to external interference. China believes that help from regional countries will help inject new impetus into the political settlement of the Syria issue. China welcomes the extensive contacts with all parties on the implementation of Security Council Resolution 2254, Pei Kai-ju, Special Envoy of the United Nations Secretary-General for Syria. The international community should uphold the principle of Syrian-owned and Syrian-led, encourage dialogue and consultation, and find solutions acceptable to all parties. Terrorism is a long-term threat to the political process in Syria. China welcomes the relevant measures taken by the Syria government to combat terrorism and maintain security and stability. The international community must adopt a zero-tolerance attitude to combat all terrorism in Syria.

Geng Shuang said that since the outbreak of this round of Palestinian-Israeli conflict, Israel has frequently launched air strikes at multiple locations in Syria, seriously violating Syria’s sovereignty and territorial integrity. China is deeply concerned about this. Against the background of the ongoing Palestinian-Israeli conflict, all parties must exercise restraint and avoid exacerbating tensions, triggering resonance in hot spots and spreading conflicts. Big countries outside domain names should play a constructive role in promoting the cooling of the situation. The international community must also redouble its efforts to jointly manage the Gaza conflict, take the unconditional ceasefire in Ramadan as the entry point, promote the realization of a permanent ceasefire and stop violence, and then inject more positive energy into peace and stability throughout the Middle East, including Syria.