Hello everyone, As we're aware, community activity has been on the lower side lately. However, in the ever-evolving landscape of AI, ensuring high-quality data is crucial. We aim to enhance Griffin to be versatile and well-suited for the demands of this emerging AI era.
I'm reaching out for your thoughts and ideas on data quality features, also how to improve community activities. How can we further refine Griffin to meet the requirements of robust and high-quality data in the realm of AI? Your insights are highly valued. Thank you, William
