We funded 10 teams from around the world to design ideas and tools to collectively govern AI. We summarize the innovations, outline our learnings, and call for researchers and engineers to join us as we continue this work.
Source link
Machine learning, particularly the training of large foundation models, relies heavily on the diversity and quality of data. These models,…
Large language models (LLMs) have evolved to become powerful tools capable of understanding and responding to user instructions. Based on…
Singing voice conversion (SVC) is a fascinating domain within audio processing, aiming to transform one singer’s voice into another’s while…