Основные понятия
COULER is designed for unified ML workflow optimization in the cloud, utilizing natural language descriptions and Large Language Models to enhance efficiency and reduce computational costs.
Аннотация
Machine Learning workflows can be complex, resource-intensive, and time-consuming.
COULER aims to simplify workflow generation using natural language descriptions.
The system enhances workflow computation efficiency through automated caching and hyperparameter tuning.
COULER has been successfully deployed at ANT GROUP, improving CPU/Memory utilization and workflow completion rates.
Статистика
COULERは1日に約22,000のワークフローを処理し、CPU/Memoryの利用率を15%以上向上させました。
データカードとモデルカードからの情報を使用して、LLMを活用して自動的にハイパーパラメータを調整します。