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Certification as a Kaggle Master ranks him among the top 1% tier of competitors
OSAKA, Japan, October 28, 2024- ƵIndustries, Ltd. announces that Tsuyoshi Isaka, a Ƶdata scientist, earned a gold medal in the LLM 20 Questions competition hosted by Kaggle, the worlds largest AI competition platform. With this achievement, Isaka gained certification as a Kaggle Master, placing him among the top 1% of individuals with experience in Kaggle competitions.
ƵTechnology and Innovation CenterTsuyoshi Isaka
Kaggle is the world's largest online data science competition platform where more than 20 million data scientists and AI engineers hone their skills and compete against each other. In the "LLM 20 Questions" competition, skills such as deductive reasoning and efficient information gathering were tested in creating language models.
In this competition, Isaka won a gold medal by placing 9th out of 832 participating teams and was certified as a "Kaggle Master." Those certified as "Kaggle Masters" account for roughly the top 1% of people with experience in Kaggle competitions. Ƶbelieves that this certification is global recognition reflecting the knowledge and technical capabilities of Daikin's data scientists.
In 2017, Ƶopened ƵInformation and Communications Technology College, an in-house course, through a comprehensive collaboration with Osaka University to strengthen the development of human resources at Ƶin digital transformation (DX). A total of 440 people have graduated from this course and are currently supporting the promotion of DX themes in a variety of areas, such as providing AI fault diagnosis and energy solutions using air conditioner operation data, digitalizing factory production lines, and creating healthy and comfortable indoor air quality and air environments. Isaka, who was recently awarded the "Kaggle Master" title, also graduated from the ƵInformation and Communications Technology College.
In moving forward, Ƶwill continue to accelerate the development of DX human resources and improve technological development and its solutions businesses that contribute to carbon neutrality.
Currently, I am working on a theme for estimating temperature and airflow distribution from ultrasound. I will use the knowledge gained about large language models (LLM) through my participation in Kaggle to analyze air data and contribute to creating air environments for the further enrichment of human lives.
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