Alchera announced on the 19th that it has been selected for the fourth consecutive year as the inspection manager for the 'Ultra-Large AI Learning Data Semantic Accuracy Inspection Service' project promoted by the Telecommunications Technology Association (TTA) of Korea.

This project aims to support domestic AI technology companies in utilizing AI data by verifying the quality of ultra-large AI learning data, thereby activating the domestic market and strengthening the global competitiveness of AI.

It will support all aspects of data required for AI, including data required for large language models (LLMs) and large multimodal models (LMMs) as well as synthetic data.

Based on its experience of achieving a 100% 'semantic accuracy test' performance rate in AI learning data quality tests from 2021 to 2023, Alchera will conduct tests on a total of 63 data types and data from 10 industrial fields as the sole subject this year.

Semantic accuracy testing requires careful analysis of data, consistent principles, and technical expertise. In fact, Alchera performs data inspection to help companies improve the performance of their AI models by applying clear standards for data quality based on the relationships between data.

This year in particular, we will examine various data types such as LLM, LMM, and synthetic data in line with the changes in the ultra-large AI market, and in the process, we will collaborate with academic experts in each industry.

Alchera CEO Hwang Young-gyu said, “As an executing company that verifies the results of companies building AI learning data, this would not have been possible without our high level of expertise and know-how in AI data building.” He added, “In the future, Alchera will strive to contribute to the revitalization of the AI industry in Korea based on our AI solution technology and AI data building capabilities.”