About this talk
This talk, presented by umekikazuya and sachikonitta, explores how machine learning and fine-tuning, once the domain of research institutions and AI startups, have become more accessible due to the emergence of various tools and platforms. The speaker addresses the importance of learning data as the foundation of a model's intelligence and discusses the lack of tools that comprehensively cover essential elements such as version control, workflow management, security, access control, and audit logging for team collaboration. The session proposes a solution using Drupal to help teams, including researchers, engineers, content creators, and planners, collaboratively develop and maintain learning data.
