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Examples of companies undergoing dramatic transformation with generative AI <Demo available for loan>

No more fear of labor shortages! Introducing the contributions of generative AI to business efficiency and examples of its use in companies.

Many companies are struggling with labor shortages, and one solution that is gaining attention is generative AI. Generative AI is a system that automatically generates text and images that resemble those created by humans, using technologies such as natural language processing and image recognition. By utilizing generative AI, companies can streamline operations in content creation, marketing, and support, thereby alleviating the issue of labor shortages. This article will introduce examples of companies that have dramatically transformed through the implementation of generative AI. *For more details, you can view the related links. For further information, please download the PDF or feel free to contact us.*

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[Information] Key Points and 5 Successful Examples of Technology Inheritance through the Use of Generative AI

Improving business efficiency, enhancing educational effectiveness, and reducing risks! Introducing successful examples of AI search utilization.

This document summarizes efforts to utilize generative AI to convert the tacit knowledge of skilled technicians into explicit knowledge, addressing the challenges of technology transfer. It discusses the overall challenges in the industry, the factors contributing to these challenges, solutions, successful examples of AI search utilization, the benefits of implementation, and local AI applications that can use AI search. By leveraging AI search powered by generative AI technology, it is possible to find the desired data from personalized information and siloed internal data. 【Contents】 ■ Introduction ■ Challenges in the Industry ■ Examples and Effects of Generative AI ■ Benefits of Implementing AI Search ■ What are Local AI Applications that Can Use AI Search? *For more details, please download the PDF or feel free to contact us.

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  • Data Search Software

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[Data] Best Practices for Implementing Local LLMs Learned from Successful Cases

Explaining methods to safely utilize generative AI based on successful cases in finance, healthcare, and manufacturing!

This document introduces how local LLMs are utilized across various industries and the results companies are achieving, based on specific examples. It includes conditions for high-security environments, types of environments, and the benefits of local LLMs, as well as industry-specific success stories of local LLM applications in sectors such as finance and healthcare. Generative AI in high-security environments balances security and efficiency. Let's start transforming your business with your local LLM. 【Contents】 ■ Introduction ■ Why is security important for generative AI? ■ Industry-specific success stories of local LLM applications ■ Conclusion ■ What are applications that make local LLMs easy to use? *For more details, please download the PDF or feel free to contact us.

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By implementing AI search, the training time for young employees is reduced.

Utilizing generative AI to convert tacit knowledge into explicit knowledge! Streamlining the education of young engineers.

We would like to introduce the "Benefits of Implementing AI Search" that we propose. By utilizing generative AI to convert tacit knowledge into explicit knowledge, the education of young engineers is made more efficient, reducing learning time. Centralized information management allows for quicker problem-solving on-site, and it may significantly reduce the risk of technology leakage. 【Benefits】 ■ Improved operational efficiency: Rapid problem-solving through centralized information management ■ Enhanced educational efficiency: Shortened learning time through the formalization of tacit knowledge ■ Risk reduction: Prevention of technology leakage and sustainable technology succession *For more details, please download the PDF or feel free to contact us.

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RAG <Demo loan available>

Responses with unique information are also possible! Achieving conversations that are natural and accurate.

"RAG" refers to a database that can search for facts from external knowledge bases and generate answers based on advanced and accurate information while keeping token costs low for large language models (LLMs). With our unique method, it is possible to enhance answer accuracy compared to standard RAG. By uploading various files and information to the database in advance, it is also possible to provide answers based on proprietary information. 【Features】 ■ Ability to improve answer accuracy compared to standard RAG ■ By uploading various files and information to the database in advance, answers based on proprietary information can also be provided *For more details, please download the PDF or feel free to contact us.

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We are lending out demo accounts for i.human <Demo available>.

Available for 10 days after starting the use! The demo setup will be conducted by our company.

At Number One Solutions, we offer a demo account for "i.human." We handle the demo setup, including whether to register unique information, avatar confirmation, and sending manuals. Please feel free to contact us if you have any requests. 【Process】 1. Application 2. Demo setup 3. Start using *For more details, please download the PDF or feel free to contact us.

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Evolution to GPT-5, Elon Musk's Grok-1 <Demo available for loan>

Introducing three noteworthy topics in the blog, including Grok-1 and Vlogger!

This time, I will introduce three particularly noteworthy aspects of generative AI. Every day, various generative AI tools are being released and technologies are being developed. Among them, I will present three essential topics that cannot be overlooked this time. *For more detailed information, you can view it through the related links. For more details, please download the PDF or feel free to contact us.*

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[Data] 5 Examples of Business Applications of Local LLMs

An explanation of the challenges faced during implementation and their solutions!

This document introduces how local LLMs are utilized across various industries and the results companies are achieving, based on specific examples. It includes the four benefits and use cases of local LLMs, technical requirements, challenges in implementation, and successful cases in sectors such as finance and healthcare. Local LLMs significantly contribute to data privacy protection, cost reduction, and operational efficiency. [Contents (partial)] ■ Introduction ■ Four Benefits of Local LLMs ■ Use Cases of Local LLMs ■ Technical Requirements of Local LLMs ■ Challenges in Implementation *For more details, please download the PDF or feel free to contact us.

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Eight Examples of Utilizing Generative AI in Government Agencies and Ministries

Introduction to the purpose and background of implementing generative AI, as well as examples of generative AI utilization in various municipalities.

Generative AI has rapidly evolved in recent years, and its implementation is progressing not only in companies but also in government agencies and ministries to improve operational efficiency and quality. Digital transformation (DX) in administrative agencies is an important issue for enhancing the quality of public services and accelerating operations. Generative AI plays a significant role in this, being recognized as a tool that automates complex document creation and data processing, significantly reducing the workload of staff. *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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Understanding through Examples! 5 Case Studies of Utilizing Generative AI to Solve Challenges in the Construction Industry

It holds the potential to be a breakthrough in solving various challenges faced by the construction industry!

In recent years, the environment surrounding the construction industry has become increasingly harsh. Challenges such as the decrease in skilled workers and labor shortages due to aging, soaring material prices influenced by global conditions, frequent safety accidents, and the strengthening of environmental regulations are piling up. Amid pressures such as tight deadlines and cost reductions, it can be said that fundamental reforms are needed to address these challenges and achieve sustainable business growth. In this context, the utilization of "generative AI" is gaining attention. This article will introduce five specific examples of generative AI applications in construction sites, incorporating advanced cases from overseas. *For more detailed content of the column, please refer to the related links. For further inquiries, feel free to contact us.*

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