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AI Agent / Generative AI / LLM AI Agent,Generative AI, and LLM

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“Transforming Business with AI”

We provide a wide range of services,
including implementation support and consulting, to help create and transform new business value
—such as improving productivity and optimizing processes
—through the use of AI agents, generative AI, and large language model (LLM) technologies.

AI Agent Total Support

From consulting and implementation to PoC development, deployment, and ongoing improvement, we deliver comprehensive support for AI agent utilization

Generative AI System Development

We provide end-to-end support for the development of systems and solutions that leverage Amazon Bedrock and Azure OpenAI Service, which supply the foundation models required for building generative AI applications.
  • Generative AI Architecture Design
  • E-Commerce Customer Support Automation
  • RAG-Based Search Augmentation Systems

LLM Consulting

We provide strategies, risk evaluations, and practical use cases to help you effectively harness large language models (LLMs).
  • Assessment & Planning
  • LLM Usage Guideline Development
  • Workshops & Training
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Solution Case Studies Solution Case Studies

Open House Group

AsiaQuest and Open House Group begin joint demonstration test for use of generative AI.

In this demonstration experiment, Open House Group will conduct fine tuning using multiple types of generative AI by utilizing Azure OpenAI Service of Microsoft Azure, a cloud service provided by Microsoft Corporation of the United States. Through this, we will verify improvement measures to address business issues and study proposals to improve services to customers. AsiaQuest, as a technical advisor, will support OpenHouse Group in the process of studying solutions to business issues using the Azure OpenAI Service and exploring actual applications. Through regular discussions, the two companies will jointly conduct this demonstration experiment toward full-scale utilization of generative AI.
-From the press release of July 11, 2023

Information System Q&A bot.

Linking ChatGPT and Slack to streamline internal inquiry handling operations

The demonstration experiment was started with the aim of automating and streamlining the daily response to uniform inquiries to the Information Systems Department, and at the same time, to generate knowledge and streamline the daily handling of exceptional inquiries and response content. By linking the Slack inquiry channel for IT staff with ChatGPT, we are 1) analyzing the content of inquiries and presenting the most appropriate response quickly, and 2) linking past inquiry history with the content of responses and related documents to promote the accumulation and internal sharing of IT staff's knowledge of responses.

Service Service

We can also support major services that utilize generative AI

Amazon Bedrock Provides an environment for building and scaling generative AI applications

  • Choice of major infrastructure models (FMs)

    Provides an easy-to-use developer experience that can work with a variety of high-performance FMs, including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, Amazon, and more

  • Easy Customization

    Private customization of FMs with your own data through a visual interface

  • Fully Managed API Agent

    Build agents to perform complex business tasks through dynamic API calls

  • Native support for RAGs

    Build RAG configurations that securely connect to and search data sources using Amazon Bedrock's knowledge base

  • Data Security

    Multiple features to support security and privacy requirements

Azure OpenAI Service Enterprise-Level Generative AI Model Capabilities from Microsoft and OpenAI

  • Uses pre-trained generative AI models

    Uses pre-trained generative AI models with large amounts of data from OpenAI to address a wide range of business and scenarios

  • Fine-tuning

    Provides users with the ability to fine-tune AI models using their own data. Pre-trained models can be specialized for specific applications or domains.

  • Detection of harmful use cases

    Detects harmful use cases and reduces the risk of incidents so that users can responsibly implement AI

  • Advanced Security Levels

    Enterprise-level security with role-based access control (RBAC) and private networks

Total Support Total Support

We provide total support for planning, design, and operation of AI systems

Requirements Consulting

  • Conducting assessments and developing plans
  • Definition of requirements for AI agent / Generative AI systems
  • PoC implementation
    (verification and prototyping)

Design
Design

  • AI agent / Generative AI infrastructure architecture design(Amazon Bedrock, Azure OpenAI Service)
  • AI agent / Generative AI application design
  • Security, governance, and operational design

Development
Development

  • AI agent / Generative AI model infrastructure construction(Amazon Bedrock, Azure OpenAI Service)
  • AI agent / Generative AI application development, System integration
  • System testing

Operation
Operation

  • Operation and maintenance of generative AI infrastructure
  • Accuracy and evaluation of generative AI applications accuracy and evaluation of generative AI applications
  • Re-training of generative AI models, Fine tuning