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AI Services [WAVE]

Experience the WAVE of innovation.

Our AI service, “WAVE,” is created to provide a profound wave of impact on our clients.

To meet the unique needs of each client, we develop customized AI services, leveraging the latest of AI.

01

Quantization of LLM (Large Language Models)

  • Offline LLM
  • Text-to-text generation
  • Image-to-text generation

We can implement LLMs to operate independently of Wi-Fi, mobile data, or any other data communication, enabling their use in settings without internet connectivity.

Quantization reduces models’ size while maintaining performance, resulting in a lighter model with faster response times, enabling real-time use.

This facilitates the use of standalone genAI in IoT devices. By bypassing APIs, we can achieve cost reduction, enhanced security, and usability in environments without internet access.

02

Fine-tuning for ChatGPT Environments

  • Strategy and Consulting
  • Internal data integration
  • Custom construction of ChatGPT environments (fine-tuning)
  • Integration with external systems (LINE, Slack, Teams, Google Chat, etc.)
  • Technical support and maintenance

AI development support for a custom-made ChatGPT environment. The result can be used in a wide range of applications in different industries, and because it builds upon learning models that already exist, it reduces development time and costs, facilitating smooth digital transformation of operations.

03

AI Training for Engineers

  • Module 1: LLM API Overview
  • Module 2: Hugging Face Overview
  • Module 3: Model Fine Tuning
  • Module 4: Model Quantization
  • Module 5: Creation of a RAG (Retrieval-Augmented Generation) Program

Our AI Training is made to enhance the expertise of engineers by providing them with essential skills to navigate the rapidly evolving AI landscape. It prepares participants to effectively engage with the latest AI technologies, enhancing the competitive edge of our clients’ organizations.

This curriculum covers critical topics such as LLM API, Hugging Face tools, model fine-tuning and quantization techniques, and the creation of RAG programs.

Through practical training exercises, participants will learn to apply AI technology efficiently in various business scenarios.