Machine Learning
SplatGPT Part 2B: Training and Performance
Discover how SplatGPT was trained on curated data, overcame noise, and even predicted meta shifts to optimize competitive Splatoon 3 gear builds.
Machine Learning
Discover how SplatGPT was trained on curated data, overcame noise, and even predicted meta shifts to optimize competitive Splatoon 3 gear builds.
SplatGPT
Introducing SplatGPT, a deep learning model using set-transformers to effortlessly navigate Splatoon 3’s intricate 160B gear-build possibilities
SplatGPT
Splatoon 3 gear optimization hides surprising complexity: 160B possible builds, non-linear stacking, and strategic noise challenging ML models.
Intro At first glance, optimizing gear loadouts in competitive games seems straightforward: identify the best combinations of abilities for each situation. However, when these systems allow for complex stacking mechanics and context-dependent effectiveness, the problem becomes remarkably challenging for traditional machine learning approaches. Nintendo’s Splatoon 3 presents an especially