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The manufacturing industry is facing many challenges in its operations. The pursuit of efficiency, cost reduction, quality improvement, and the introduction of innovative technologies are everyday challenges for companies in this sector. However, the key technology to solve these challenges is now in our hands. The answer lies in the utilization of generative AI. The manufacturing industry has always sought efficiency and productivity, but the modern market is further intensifying these demands. Advanced customization, quality control, short delivery times, and cost reduction are challenges that manufacturers face daily. Furthermore, the rapid evolution of technology is necessitating new methodologies to address these challenges. *For more details on the column, please refer to the related link. For further inquiries, feel free to contact us.*

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We provide consulting on how to utilize platforms such as Microsoft Copilot Studio, GPTs, and Dify. While holding regular meetings, we will respond to questions received in the group chat as they arise. We support the development of an environment suited to your company, as well as personnel training and operational maintenance. This is a must-see for those who are "interested but cannot envision specific utilization methods" or "lacking personnel with the necessary knowledge and skills for implementation and operation." *For detailed content of the column, please refer to the related links. For more information, feel free to contact us.

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In recent years, artificial intelligence (AI) technology has made innovative progress in many industrial fields. In particular, advanced AI models like GPT (Generative Pre-trained Transformer) hold the potential to fundamentally change business processes, with expectations for improved efficiency and problem-solving. In this context, the "GPT-driven Robot SIer" developed offers a wide range of functions, including question answering, image analysis, automation proposals, and provision of basic knowledge, emerging as a new solution to tackle complex challenges related to the introduction of industrial robots and factory automation. *For more details on the column, please refer to the related link. For further inquiries, feel free to contact us.*

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We have developed the "Robo Risk Analyst" using GPTs. The "Robo Risk Analyst" is an innovative tool that leverages the capabilities of ChatGPT. It quickly identifies risks faced in manufacturing environments, explains those risks in easily understandable terms, and provides appropriate risk assessments. This enables safety measures to be implemented with unprecedented speed and accuracy, achieving accident prevention and risk minimization. *For more details on the column, please refer to the related link. For further inquiries, feel free to contact us.

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The modern manufacturing industry needs to ride the wave of technological innovation to quickly respond to the ever-changing demands of the market. In this context, the utilization of generative AI is bringing about significant transformations across the industry. AI technology goes beyond mere automation tools and is becoming the key to solving various challenges in the manufacturing sector, such as improving operational efficiency, standardizing quality control, and optimizing communication. In this article, we will present actual case studies of AI utilization in manufacturing that we have consulted on, discussing their effects and considerations when incorporating these technologies. *For more details, please refer to the related links. Feel free to contact us for more information.*

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In recent years, the development of AI technology has been remarkable, and in the manufacturing industry, there are high expectations for automation and efficiency improvements through AI. In particular, the development of industrial robots has become more active, and they are being utilized for various applications. On the other hand, creating specifications for industrial robots requires specialized knowledge and experience, making it a task that demands a lot of time and effort. Therefore, this article introduces a case where the AI language model "Gemini" was used to create specifications for industrial robots. *For more details on the column, you can view it through the related links. Please feel free to contact us for more information.*

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In recent years, AI technology has rapidly developed across the entire industry, and its evolution, particularly in manufacturing, has been remarkable. Generative Pre-trained Transformers (GPTs) are at the forefront of this technological innovation. GPTs have achieved astonishing results in a variety of tasks, including natural language processing (NLP), and are beginning to unleash their potential in the manufacturing sector. This article will delve into how GPTs are being applied in manufacturing, their benefits, real-world use cases, and the challenges faced during implementation. *For more detailed information, please refer to the related links. Feel free to contact us for further inquiries.*

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In robot system projects, end-user hearings are a crucial step that can determine the success of the project. However, hearings require time and effort, and there are many challenges such as missing information and overlooked questions. Generative AI is an innovative tool that can solve these challenges and significantly improve the quality and efficiency of hearings. In this article, we will explain in detail how generative AI can be utilized in end-user hearings, including specific examples. *For more details on the column, please refer to the related links. If you have any questions, feel free to contact us.*

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In modern manufacturing, vast technical manuals and process documents are used daily, but quickly extracting necessary information from these documents often poses a significant challenge. The AI tool "SPESILL" provides a revolutionary solution to this problem. We will introduce the process of using SPESILL to centralize scattered technical information and build an intuitively accessible knowledge base. Let's explore how this tool transforms traditional data management methods and improves efficiency in the manufacturing industry. *For more details on the column, please refer to the related link. Feel free to contact us for more information.*

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AI technology has made remarkable advancements in recent years, and among them, generative AI has garnered attention as an innovative technology that sets itself apart from traditional AI. Generative AI can do more than just analyze data; it can mimic human creativity by creating text, generating images, composing music, and more. However, the reality is that many companies have not yet fully harnessed the potential power of generative AI. If we continue to ignore generative AI, it will become increasingly difficult to compete and survive in the market. *For more details on the column, please refer to the related links. Feel free to contact us for more information.*

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In recent years, the advancement of AI technology has dramatically changed the design process. Particularly noteworthy is the Text2CAD tool, which generates 3D CAD models using natural language. This innovative tool has become a major topic in the industry as it allows engineers and designers to shape their ideas using intuitive language. In this article, we will explore what kind of 3D models can be generated using the Text2CAD tool provided by zoo.dev, examining its limitations and possibilities. We will analyze in detail how this tool changes the work of professionals. *For more details on the column, please refer to the related links. Feel free to contact us for more information.*

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Factory automation in the manufacturing industry is an important step to enhance production efficiency. In recent years, advancements in AI technology have made the design of equipment layouts easier and more precise. In this article, we will explain how to efficiently generate equipment layout images as videos using the video generation AI Luma Dream Machine and the image generation AI GPT-4, and share the results of our verification to determine if it is at a practical level for use. *For more details on the column, please refer to the related links. For further inquiries, feel free to contact us.

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The manufacturing industry continues to seek efficiency and precision, making the introduction of new technologies essential. Among these, local LLMs (Large Language Models) are particularly gaining attention. While ensuring data security, local LLMs provide high-performance natural language processing capabilities that do not rely on the internet. What benefits can local LLMs bring to the manufacturing industry? This article will explain the basic concepts of local LLMs and provide detailed examples of their applications. *For more details, you can view the related links. Please feel free to contact us for more information.*

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In recent years, equipment failures in the manufacturing industry have become a major issue that causes significant losses. However, AI technology is rapidly emerging as a solution to this problem. This article will delve into how AI enables rapid and accurate analysis of the causes of failures, fundamentally changing the approach to equipment maintenance. Along with specific examples, we will focus on the innovative changes brought about by AI technology and consider the future possibilities of equipment management. *For more details on the column, please refer to the related links. Feel free to contact us for more information.*

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AI Tools for the Manufacturing Industry Create documents and diagrams with AI! Chatbot also available! This is a generative AI tool that integrates with ChatGPT and the latest LLMs! Using your company's internal documents as a knowledge source, it offers features tailored to the needs of the manufacturing industry, such as creating technical documents like specifications, procedures, and reports, as well as generating layout diagrams and flowcharts, and an AI chat that can answer any questions. Please give it a try!

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