Data Utilization Consulting
Services Using
Large Language Models

In recent years, along with the rapid development of AI technology, data utilization has become an important factor that holds the key to strengthening competitiveness in business. In particular, Large Language Models (LLMs), which became a hot topic with the advent of ChatGPT, have become a powerful tool in effectively supporting corporate data analysis and decision making, thanks to their strong analytical and natural language processing capabilities. However, LLM use requires specialized knowledge and skills in natural language analysis, information security, and governance, and not all companies are in a position to fully utilize them. ABeam Consulting supports the safe and effective use of Large Language Models, the cutting edge of AI technology, with its unique methodology that leverages its accumulated knowledge of AI utilization and business innovation know-how.

In addition to a lack of technical expertise and knowledge of data use, compliance issues such as security, privacy, bias, ethics, and regulation are also impediments to the safe and effective use of LLMs within companies. To avoid compliance issues, there are many cases where LLMs are uniformly prohibited. Unfortunately, this has resulted in the avoidance of AI technologies originally intended to increase the efficiency and effectiveness of business operations. In effect, the difficulty and risk associated with these technologies results in lost opportunities to improve productivity.

ABeam Consulting offers one-stop support for your large-scale language model utilization issues, from understanding the current business and data utilization status and holding utilization ideas workshops to considering and building the use and customization of the LLM best suited for your purposes, providing an execution platform, and providing compliance and other governance services for business utilization and operation. 

ABeam Consulting can effectively and efficiently execute measures that leverage its knowledge of a wide range of industries and processes, in addition to its knowledge of large-scale language model utilization, through its extensive AI development experience and platform.

1. At the beginning of this service, the Utilization Assessment phase, we will take a step-by-step approach to LLM implementation. In the first half, we first delve into recognizing issues and defining the expected results of LLM utilization. Then, we describe the policy for achieving the outcomes and the concept of evaluation indices and collect data to conduct a PoC using LLM. In the PoC phase, prompt design and model tuning will be considered based on the expected outcomes defined in the assessment phase.
2. Next, the response with the prompted or tuned model will be verified and evaluated, and the design and tuning will be repeated as necessary. Considerations will be made from the perspective of information security and governance. Even after implementation, we will help ensure effective operation by regularly measuring and analyzing the system’s effectiveness and making necessary improvements.
3. In parallel, we will discuss and coordinate with relevant departments on governance and establish a system for safe and reliable operation.