Bringing Down The Gauss

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.

SplatGPT Part 2A: Engineering GPT for Set Completion

Introducing SplatGPT, a deep learning model using set-transformers to effortlessly navigate Splatoon 3’s intricate 160B gear-build possibilities

The Deceptive Difficulty of Splatoon 3 Gear Optimization

Splatoon 3 gear optimization hides surprising complexity: 160B possible builds, non-linear stacking, and strategic noise challenging ML models.

SplatGPT: Set-Based Deep Learning for Splatoon Gear Completion

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

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