topprismdata

Use when exploring hyperparameter combinations for ML models, when doing Top-1% push on Kaggle, when grid search is too expensive, or when…

Use when extracting entities and relationships from text, when building dynamic knowledge graphs, when wanting to upgrade from static OKF…

Use when context window is getting crowded, when agent needs to recall past experiences, or when starting a long-running task that spans…

ML optimization sweet spot principle: "More is not always better".

Avoid ensembling models with significantly different performance.

Use when designing a multi-agent system, when a single agent has too many responsibilities, when planning complex ML pipelines, or when…

Use when: (1) considering adding family-level or store-level aggregation features to day-specific models, (2) tempted to copy hierarchical…

Complete methodology for solving multi-step time series forecasting competitions where lag features cause systematic underprediction at…

Use Google's Open Knowledge Format (OKF) to convert any directory of markdown files into a force-directed knowledge graph.

Use when: (1) Competing in ONNX-based competitions (NeuroGolf, model compression), (2) Need to design minimal neural networks as ONNX…

Per-category/per-family models can produce WORSE leaderboard scores than a single global model, even when per-category CV is better.

Augment a BC Transformer agent with 2-ply bounded search using the cg library's SearchBegin/SearchStep API.