Explaining RAG and AI application development and operation! An implementation guide to realize an AI environment that can be continuously used in business.
The "Guide to Implementing and Building Local LLMs for Businesses" is a white paper that explains the concepts and solutions necessary to create an AI environment that can be continuously used in business operations. This document organizes three common challenges that companies face when implementing local LLMs and proposes a construction approach based on the design of generative AI infrastructure derived from business requirements, along with modifications and expansions. It highlights the benefits of a pre-configured environment that reduces the time needed for selection, construction, and validation from scratch, allowing for immediate initiation, as well as customization options and ease of resource expansion after implementation. **Features** - Explains how to implement a local LLM environment equipped with the necessary infrastructure for AI utilization. - Proposes an approach to design generative AI infrastructure based on business requirements. - Allows for immediate start by reducing selection, construction, and validation time. - Offers customization to fit company-specific requirements. - Facilitates easy model changes and resource expansions after implementation. *For more details, please download the PDF or feel free to contact us.*
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basic information
【Components and Considerations】 ■ Business and Usage Conditions: Target business, number of users, number of simultaneous users, usage frequency, response speed ■ AI and Data: Type and scale of LLM, type, volume, and quality of data, RAG data, response accuracy ■ Application and Security: Chat UI, business applications, authentication and authorization management, network configuration ■ Infrastructure: GPU/CPU performance and quantity, memory, storage capacity, server configuration ■ Operations and Expansion: Monitoring system, backup, ease of resource addition *For more details, please download the PDF or feel free to contact us.
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Applications/Examples of results
【Use Cases】 ■Recording and sharing the content of meetings and discussions: transcription, summarization, automatic generation of meeting minutes, task organization, multilingual translation ■Internal information search and inquiry response: internal help desk support, searching past cases and knowledge, classification and routing of inquiries ■Utilizing product information for customer support and content creation: organizing information before negotiations, comparing and organizing product information, creating technical documents and code proposals ■Leveraging accumulated knowledge for planning and development: sharing research and technical knowledge, extracting similar cases and examples, analyzing management and IR information *For more details, please download the PDF or feel free to contact us.
Company information
Our company started its business in February 2005 with support services for medical information systems and has since been engaged in providing IT solutions as a system integrator. We cultivate open-minded individuals who can approach their work creatively, and it is these "people" who become the driving force behind our high-value-added services, allowing our clients to experience "passion," "flexibility," and "a sense of speed."
