Generative Systems Metrics
Progress in generative systems is evident, especially in visual and language applications, yet challenges remain in developing effective quantitative metrics for evaluation. The conversation highlights the need for improved feedback mechanisms that integrate user selections into broader models, paving the way for advancements in transfer learning and few-shot learning. The exploration of these concepts reveals a landscape rich with potential but still in need of refinement and innovation.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Learning to Learn, and other Opportunities in Machine Learning with Graham Taylor - #62
Related Questions