What is the local LLM utilization technology established by Grapher?

It is a technology that completes document processing within the user's PC or internal server (on-premises environment) without sending personal information or confidential information to external servers via the internet.

What types of documents does this technology support?

It supports images of application forms, identification documents, account information, various reports, surveys, and more, assisting in extracting necessary fields and verifying content.

Is a high-performance dedicated server required?

No, we are advancing technical validation with a configuration that can operate on a general PC environment with a certain level of computational resources, without assuming a high-performance dedicated server.

Why is a local LLM necessary?

In fields such as administration, finance, healthcare, and human resources, there are security constraints that prevent confidential information from being sent to servers outside the organization, making it difficult to use cloud-based generative AI.

What is the cost difference between local LLM and cloud-based generative AI?

There are no usage-based charges that increase with the number of processed items as seen with cloud LLMs, and no large-scale infrastructure investment is required, making it easier to predict costs for routine operations.

AI News NQ Analysis

Graffer Establishes 'Local LLM Utilization Technology' to Support Document Processing Without Sending Personal Data Off-Premise

NQ Score 80/100

N1 Content Completeness 9

AI Summary (NQ-processed)

Graffer has established a 'Local LLM utilization technology' that processes documents within a user's PC or internal server, without sending personal or confidential information to external servers via the internet. This technology can run on standard PC environments without requiring high-performance dedicated servers. It supports extraction and verification for applications and forms, enabling safe AI usage in government and financial sectors.

AI Analysis

Frequently Asked Questions

Q: What is the local LLM utilization technology established by Grapher?: A: It is a technology that completes document processing within the user's PC or internal server (on-premises environment) without sending personal information or confidential information to external servers via the internet.
Q: What types of documents does this technology support?: A: It supports images of application forms, identification documents, account information, various reports, surveys, and more, assisting in extracting necessary fields and verifying content.
Q: Is a high-performance dedicated server required?: A: No, we are advancing technical validation with a configuration that can operate on a general PC environment with a certain level of computational resources, without assuming a high-performance dedicated server.
Q: Why is a local LLM necessary?: A: In fields such as administration, finance, healthcare, and human resources, there are security constraints that prevent confidential information from being sent to servers outside the organization, making it difficult to use cloud-based generative AI.
Q: What is the cost difference between local LLM and cloud-based generative AI?: A: There are no usage-based charges that increase with the number of processed items as seen with cloud LLMs, and no large-scale infrastructure investment is required, making it easier to predict costs for routine operations.