Research & Methodology

Essential guide for new developers: Environment setup, workflow rules, and deployment.

Mathematical framework, cosine similarity scoring, and statistical validation of the attribution engine.

Key metrics, thresholds, and defensibility analysis for investors and auditors.

Deep dive into the signature extraction pipeline and vector projection methods.

Complete guide to LoRA fine-tuning Meta's MusicGen with Docker deployment, GPU training, and configuration reference.

Complete guide to fine-tuning ACE-Step 1.5 (815M DiT) with LoRA adapters, Docker setup, presets, dataset ingestion, and serverless training.

S3 checkpoint locations, adapter loading, hot-swapping between adapters at runtime, and the serverless inference engine.

Wasserstein Trajectory Attribution methodology, 5 validation experiments, 11/11 test results, Bradford Hill criteria, and LOO reproduction guide.