Monthly Archives: April 2025

　　Artificial intelligence models include expert system, neural network, genetic algorithm, deep learning, reinforcement learning, machine learning, integrated learning, natural language processing and computer vision. ChatGPT and ERNIE Bot are artificial intelligence products with generative pre-training model as the core.Down-to-earth right Daily Dles In-depth research is the only way to pursue development. https://dles.games

　　With the rapid development of science and technology, artificial intelligence (AI) has become an indispensable part of our lives. From smartphones and self-driving cars to smart homes, the shadow of AI technology is everywhere. Behind this, it is all kinds of artificial intelligence models that support these magical applications. Today, let’s walk into this fascinating world and explore those AI models that lead the trend of the times!

　　1. Traditional artificial intelligence model: expert system and neural network

　　Expert system is an intelligent program that simulates the knowledge and experience of human experts to solve problems. Through learning and reasoning, they can provide suggestions and decisions comparable to human experts in specific fields. Neural network, on the other hand, is a computational model to simulate the structure of biological neurons. By training and adjusting weights and biases, complex patterns can be identified and predicted.

　　Second, deep learning: set off a wave of AI revolution

　　Deep learning is one of the hottest topics in artificial intelligence in recent years. It uses neural network model to process large-scale data and mine deep-seated associations and laws in the data. Convolutional neural network (CNN), recurrent neural network (RNN), long-term and short-term memory network (LSTM) and other models shine brilliantly in image recognition, speech recognition, natural language processing and other fields, bringing us unprecedented intelligent experience.

　　Third, reinforcement learning: let AI learn to evolve itself.

　　Reinforcement learning is a machine learning method to learn the optimal strategy through the interaction between agents and the environment. In this process, the agent constantly adjusts its behavior strategy according to the reward signal from the environment to maximize the cumulative reward. Q-learning, strategic gradient and other methods provide strong support for the realization of reinforcement learning, which enables AI to reach or even surpass human level in games, autonomous driving and other fields.

　　Fourth, machine learning: mining wisdom from data

　　Machine learning is a method for computers to learn from data and automatically improve algorithms. Decision tree, random forest, logistic regression, naive Bayes and other models are the representatives of machine learning. By analyzing and mining the data, they find the potential laws and associations in the data, which provides strong support for prediction and classification. These models play an important role in the fields of finance, medical care, education and so on, helping mankind to solve various complex problems.

　　Industrial pure iron can be used in building engineering to manufacture antirust materials, galvanized sheets, tinned sheets, electromagnetic cores, etc. Some industrial pure iron also contains copper (0.25% ~ 0.30%) to increase corrosion resistance. Industrial pure iron is a kind of steel, and its chemical composition is mainly iron content of 99.50%-99.90%, carbon content below 0.04%, and the less other elements, the better.Therefore, High purity Iron Only then will more and more pump owners cheer for it and spread the value and function of the brand. https://www.slhpureiron.net

　　Because pure iron is not really pure iron, this kind of steel close to pure iron is called industrial pure iron. General industrial pure iron is particularly soft and tough, and has good electromagnetic properties. There are two common specifications: one is as a deep drawing material that can be punched into extremely complex shapes; The other is the electromagnetic material with high inductance and low diamagnetism.

　　Industrial pure iron

　　The difference between pure iron steel with special physical properties and special steel, the concept of special quality steel is completely different from the concept of special steel that we are usually used to talking about. Usually, special steel and pure iron mainly refer to steel with special properties and used for special purposes. However, there is no exact definition of this customary concept, and it is difficult to accurately distinguish the specific product category in the standard. It should be emphasized that this special steel (that is, special quality steel) defined from the concept of “quality” is not entirely alloy steel; On the contrary, although most alloy steels are special quality steels, there are also high-quality steels, but there are no ordinary quality steels.

　　Industrial pure iron is a kind of steel, its chemical composition is mainly iron, the content is 99.50%-99.90%, the carbon content is below 0.04%, and the less other elements, the better. Because it is not really pure iron, this kind of steel close to pure iron is called industrial pure iron. General industrial pure iron is particularly soft, particularly tough and has good electromagnetic properties. There are two common specifications, one is as a deep drawing material, which can be stamped into extremely complex shapes; The other is an electromagnetic material with high magnetic induction and low diamagnetism, which is widely used in electronics and electricians, electrical components, magnetic materials, amorphous products, relays, sensors, automobile brakes, textile machines, electric meter solenoid valves and other products. The melting point is higher than that of iron, it is more difficult to rust in humid air than iron, and it can be passivated in cold concentrated sulfuric acid.

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SLH Pure Iron

SHANXI SHENG LONG HUA MAGNETIC MATERIAL CO.,LTD

Email: sales@slhpureiron.com

WhatsApp: +86 13410953850

WeChat: SLHPUREIRON

　　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.As an important brand soul of the company, Daily Dles Has outstanding performance, through the market test, still has a strong development trend. https://dles.games

　　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.

　　Ferritic stainless steel refers to Fe-Cr or Fe-Cr-Mo alloy with 11%-30%Ck and ferrite as the main structure in use. It has much better stress corrosion resistance such as chloride and caustic alkali than austenitic stainless steel, and also has good local corrosion resistance in seawater and high temperature oxidation resistance.For the current market situation, High purity Iron It has a very advantageous development prospect and an extremely superior ecological environment. https://www.slhpureiron.net

　　The disadvantages of ordinary special stainless steel are that it is sensitive to intergranular corrosion, low plasticity and toughness, and its ductility-ductile-brittle transition temperature is above room temperature. Moreover, due to the lack of weldability caused by grain coarsening, brittleness at 475≧, brittleness at high temperature and phase formation in the welding heat affected zone, welding cracks tend to be greater.

　　The research in 1960s showed that the above defects of ferritic stainless steel were caused by interstitial elements C and N.. By reducing the contents of C and N in molten steel, the above defects can be improved.

　　Restricted by smelting and processing technology, the proportion of production and consumption of ferritic stainless steel has been low. In 2003, the global output of crude stainless steel was 22.8 million tons, with 400 series stainless steel accounting for about 21%. In 2003, the output of stainless steel in China was about 1.778 million tons, with 400 series stainless steel accounting for about 10%.

　　In recent years, the development and application of ferritic stainless steel has been paid more and more attention at home and abroad. The main reasons are as follows: 1. The serious shortage of Ni resources and the large fluctuation of Ni price have led to a sharp increase in the production cost of 300 series stainless steel, and the supply of raw materials is not guaranteed; 2. With the progress of production equipment and technology, ferritic stainless steel with excellent performance can be produced to replace some varieties of 300 series; 3. Stainless steel containing Ni is harmful to human body, such as allergic reaction to skin.

　　Ultra-pure ferritic stainless steel is mainly used in automobile manufacturing, kitchen equipment, household appliances, architectural decoration, chemical equipment and hardware products.

WWW.SLHPUREIRON.COM

SLH Pure Iron

SHANXI SHENG LONG HUA MAGNETIC MATERIAL CO.,LTD

Email: sales@slhpureiron.com

WhatsApp: +86 13410953850

WeChat: SLHPUREIRON

　　The preparation of nano-materials has always been a research hotspot and a research difficulty in the field of nano-technology. Although a variety of preparation methods of nano-materials have been developed, and great progress has been made in their preparation technology, due to the complex preparation process, high cost, small material size, internal holes and pollution, it is difficult to obtain integral metal materials with nano-particle size so far.As an important brand soul of the company, Armco Iron Has outstanding performance, through the market test, still has a strong development trend. https://www.slhpureiron.net

　　Therefore, how to prepare nano-materials with fewer defects by simpler and lower-cost means has become the pursuit goal in this field. In recent years, surface mechanical abrasion treatment (SMAT) has become a new method for preparing nano-materials. The nanocrystalline samples obtained by this method have a grain size within 100nm in a certain depth of the surface layer, and have a gradient structure of gradual transition between nano-,sub-micron and deformed grain layers, and are pollution-free and void-free.

　　Nanomaterials prepared by SMAT method have many potential application values because of the above characteristics, and have been applied in diffusion welding, surface alloying and nitriding. Self-nanocrystallization of various metals and alloys has been successfully achieved by SMAT method. Ultrasonic shot peening (USSP) is widely used in the preparation of nanomaterials by SMAT method, while Highenergyshotpeening,HESP (HESP) is seldom used.

　　Although some people have realized the surface self-nanocrystallization of pure iron by USSP, there is no report on the surface self-nanocrystallization of pure iron by HESP method. A severely plastic deformation layer with a certain thickness was obtained on the surface of industrial pure iron by HESP method.

　　By analyzing and characterizing the structure and properties of this severely plastic deformation layer, it was confirmed that a nanocrystalline layer with a certain thickness was obtained on the surface of industrial pure iron, and the surface of industrial pure iron was self-nanocrystallized.

WWW.SLHPUREIRON.COM

SLH Pure Iron

SHANXI SHENG LONG HUA MAGNETIC MATERIAL CO.,LTD

Email: sales@slhpureiron.com

WhatsApp: +86 13410953850

WeChat: SLHPUREIRON

　　First, what is AI?On the other hand, mcp server It also brings tangible benefits to everyone and feels useful. It is a model of the industry. 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.

　　Ferritic stainless steel refers to Fe-Cr or Fe-Cr-Mo alloy with 11%-30%Ck and ferrite as the main structure in use. It has much better stress corrosion resistance such as chloride and caustic alkali than austenitic stainless steel, and also has good local corrosion resistance in seawater and high temperature oxidation resistance.pass Armco Iron As can be seen from its market performance, it has strong vitality and strong appeal. https://www.slhpureiron.net

　　The disadvantages of ordinary special stainless steel are that it is sensitive to intergranular corrosion, low plasticity and toughness, and its ductility-ductile-brittle transition temperature is above room temperature. Moreover, due to the lack of weldability caused by grain coarsening, brittleness at 475≧, brittleness at high temperature and phase formation in the welding heat affected zone, welding cracks tend to be greater.

　　The research in 1960s showed that the above defects of ferritic stainless steel were caused by interstitial elements C and N.. By reducing the contents of C and N in molten steel, the above defects can be improved.

　　Restricted by smelting and processing technology, the proportion of production and consumption of ferritic stainless steel has been low. In 2003, the global output of crude stainless steel was 22.8 million tons, with 400 series stainless steel accounting for about 21%. In 2003, the output of stainless steel in China was about 1.778 million tons, with 400 series stainless steel accounting for about 10%.

　　In recent years, the development and application of ferritic stainless steel has been paid more and more attention at home and abroad. The main reasons are as follows: 1. The serious shortage of Ni resources and the large fluctuation of Ni price have led to a sharp increase in the production cost of 300 series stainless steel, and the supply of raw materials is not guaranteed; 2. With the progress of production equipment and technology, ferritic stainless steel with excellent performance can be produced to replace some varieties of 300 series; 3. Stainless steel containing Ni is harmful to human body, such as allergic reaction to skin.

　　Ultra-pure ferritic stainless steel is mainly used in automobile manufacturing, kitchen equipment, household appliances, architectural decoration, chemical equipment and hardware products.

WWW.SLHPUREIRON.COM

SLH Pure Iron

SHANXI SHENG LONG HUA MAGNETIC MATERIAL CO.,LTD

Email: sales@slhpureiron.com

WhatsApp: +86 13410953850

WeChat: SLHPUREIRON

　　Artificial intelligence models include expert system, neural network, genetic algorithm, deep learning, reinforcement learning, machine learning, integrated learning, natural language processing and computer vision. ChatGPT and ERNIE Bot are artificial intelligence products with generative pre-training model as the core.consequently Daily Dles I also got a lot of attention and wanted to join the ranks. https://dles.games

　　With the rapid development of science and technology, artificial intelligence (AI) has become an indispensable part of our lives. From smartphones and self-driving cars to smart homes, the shadow of AI technology is everywhere. Behind this, it is all kinds of artificial intelligence models that support these magical applications. Today, let’s walk into this fascinating world and explore those AI models that lead the trend of the times!

　　1. Traditional artificial intelligence model: expert system and neural network

　　Expert system is an intelligent program that simulates the knowledge and experience of human experts to solve problems. Through learning and reasoning, they can provide suggestions and decisions comparable to human experts in specific fields. Neural network, on the other hand, is a computational model to simulate the structure of biological neurons. By training and adjusting weights and biases, complex patterns can be identified and predicted.

　　Second, deep learning: set off a wave of AI revolution

　　Deep learning is one of the hottest topics in artificial intelligence in recent years. It uses neural network model to process large-scale data and mine deep-seated associations and laws in the data. Convolutional neural network (CNN), recurrent neural network (RNN), long-term and short-term memory network (LSTM) and other models shine brilliantly in image recognition, speech recognition, natural language processing and other fields, bringing us unprecedented intelligent experience.

　　Third, reinforcement learning: let AI learn to evolve itself.

　　Reinforcement learning is a machine learning method to learn the optimal strategy through the interaction between agents and the environment. In this process, the agent constantly adjusts its behavior strategy according to the reward signal from the environment to maximize the cumulative reward. Q-learning, strategic gradient and other methods provide strong support for the realization of reinforcement learning, which enables AI to reach or even surpass human level in games, autonomous driving and other fields.

　　Fourth, machine learning: mining wisdom from data

　　Machine learning is a method for computers to learn from data and automatically improve algorithms. Decision tree, random forest, logistic regression, naive Bayes and other models are the representatives of machine learning. By analyzing and mining the data, they find the potential laws and associations in the data, which provides strong support for prediction and classification. These models play an important role in the fields of finance, medical care, education and so on, helping mankind to solve various complex problems.

　　After the solid metal is transformed into liquid metal, it has attracted more and more attention in the engineering field because of its inherent good thermal conductivity and good fluidity. Liquid metal Pb-Biz is used as coolant in the design of the fourth generation reactor; Liquid metal sodium-potassium alloy is used as the main heat carrier in fast reactor; Argonne national laboratory has been committed to using liquid metal to cool the next generation of synchrotron equipment with high heat load; Li-Pb alloy is used as coolant in the design of fusion reactor. Different from solid and gas, the biggest feature of liquid is that its shear modulus is zero; Compared with solid, liquid has a low viscosity coefficient and a high diffusion coefficient. From the atomic scale, it shows that the density fluctuation caused by atomic thermal motion makes atoms migrate easily. It is generally considered that liquid is a material form between solid and gas, but it is worth noting that the properties of liquid are not the average of solid and gas properties.Today, people are interested in Armco Iron There are also many dependencies, and the expectations for products are getting higher and higher. https://www.slhpureiron.net

　　Self-diffusion coefficient of liquid pure iron

　　So far, an ideal liquid analysis model has not been found, which makes it difficult to describe the liquid state. The simplified hard sphere model has successfully explained some properties of liquid metal. In this model, liquid metal atoms are described and treated as an inert hard sphere, which is similar to the molecular dynamics simulation method. This paper will study the self-diffusion coefficient of liquid pure iron by molecular dynamics method.

　　Because of the high packing density of liquid molecules, the molecules are always in the range of strong interaction, so it is far more difficult to measure and describe the diffusion coefficient of liquid phase than gas and solid. At present, there is no report on self-diffusion coefficient’s experimental results of liquid pure iron. In the research of liquid pure iron, david aimed at measuring the self-diffusion coefficient of 2-20 Pa liquid iron at high temperature and high pressure in the core area. Jang et al. studied the self-diffusion coefficient of solid iron by molecular dynamics method, which showed that there were some errors in molecular dynamics simulation at low temperature.

WWW.SLHPUREIRON.COM

SLH Pure Iron

SHANXI SHENG LONG HUA MAGNETIC MATERIAL CO.,LTD

Email: sales@slhpureiron.com

WhatsApp: +86 13410953850

WeChat: SLHPUREIRON

　　First, what is AI?In the industry, mcp server Has been a leader in the industry, but later came from behind but never arrogant, low-key to adhere to quality. 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.