Leveraging our track record of supporting DX using AI for over 300 companies and the knowledge gained from our independently conducted research and development (*),
We provide end-to-end support for the business implementation of "LLM".
(*Note) In July 2022, we announced the Japanese version of the GPT model, which had completed preliminary training with 13B parameters, the largest scale in Japan. (Details here )
The "ABEJA LLM SERIES" leverages the DX/AI implementation knowledge gained from previous LLM business adoptions, as well as ABEJA's unique LLM research and development knowledge, to provide a comprehensive service for the "introduction," "development and implementation," and "utilization" of LLM in your business.
*HITL = Human-in-the-Loop
This approach aims to achieve higher accuracy and more efficient operation of AI systems by involving human intervention and collaboration within AI-powered systems.
Why ABEJA LLM SERIES
LLM has very high potential for business application, but it also carries risks.
To properly implement LLM in business, the following three areas of experience and knowledge are necessary:
LLM 's technological application capabilities through research and development
By combining existing systems with ABEJA's cultivated AI models, we maximize the scope and effectiveness of LLM implementation.
LLM utilization advisory, implementation assessment, and implementation services provided by professionals who are intimately familiar with the strengths and weaknesses of LLM.
Business planning and implementation capabilities honed through supporting DX initiatives for over 300 companies.
DX strategy consulting that works closely with the management team of your company.
Consulting on the detailed application of LLM down to the business process level.
Ethical, security, and privacy compliance for AI utilization
To address the ethical issues arising from AI behavior, we provide support for ethical assessment and AI governance development.
As a measure against the leakage of confidential and personal information, ABEJA provides a filtering function that it has developed in-house.
ABEJA possesses all of this knowledge and can provide support for various LLM applications.
ABEJA's previous activities
LLM Research and Development Achievements
ABEJA anticipates future technological trends,
We have been pioneers in alliances, related technology research, and technology risk and countermeasure research.
Service details and process
DX strategy formulation, BPR/business process reform, human resource development/education, and the ABEJA LLM SERIES can each be provided as separate services.
Even with the ABEJA LLM SERIES as a standalone service, it is expected that the process will involve understanding and organizing business processes, evaluating whether LLM implementation is suitable as a solution to problems, and then gradually building the model according to requirements and available data.
DX Planning and Promotion Support Service
ABEJA LLM Series
(Business implementation)
DX planning (business planning)
BPR/Business improvement
Human resource development and education (literacy improvement)
Technical and data assessment
Model verification and requirements definition
System Development
Operation/maintenance
ABEJA
LLM Series
Use cases for LLM in business applications
LLM's application in business operations enables the efficient use of large-scale and specialized information.
Integrating LLM into business processes for the purpose of improving operations will have a significant impact on operational efficiency.
By providing users with highly relevant information in response to their questions and requests, more efficient decision-making becomes possible.
sales
-
Product and service recommendations based on specific criteria.
-
Recommendations for supporting new employees and part-time workers, etc.
Call center
Automating inquiry handling
Real-time recommendations when answering, etc.
Content Guide
-
Content recommendations such as movies and music tailored to your preferences.
*We are not limited to the use cases listed above; we will propose LLM utilization tailored to your company's specific situation.
Use case details
Knowledge Search
This allows you to quickly extract highly relevant information from internal documents and past project information scattered throughout the company. This enables improvements in work speed and efficiency across various business areas.
LLM's Quality and Security Risks
AI-induced misjudgments, leaks of confidential information, and violations of privacy are all potential risks.
This presents a major challenge for companies promoting the introduction of AI into their operations.
ABEJA possesses the expertise to address these challenges.
Examples of problems caused by AI behavior
Business impact of AI errors
(Hallucination issue)
Prompt injection
(Abuse or misuse, such as generating harmful information)
Information leak
(Including the leakage of training data and indexes)
Invasion of privacy
(Illegal use of personal data, etc.)
security
quality
Examples of various potential risks
Compliance risks
Information security risks
Business and system risks
Reputation risk
*We also offer consultation services regarding AI ethics assessment and governance development. ( Click here for details)