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Experiment tracker for foundation models that monitors per-layer metrics, visualizes high-frequency signals, and helps debug training at scale.

Experiment tracker for foundation models that monitors per-layer metrics, visualizes high-frequency signals, and helps debug training at scale.
Neptune.ai is an experiment tracking and metadata logging platform purpose-built for large-scale foundation model training. It captures and visualizes thousands of per-layer metrics (losses, gradients, activations) with high frequency and low latency, enabling engineers to spot spikes and diagnose training issues quickly. Neptune provides client libraries (Python, R) and integrations (TensorBoard, MLflow) to centralize logs, artifacts, hyperparameters, and model versions, supporting collaboration, reproducibility, and smoother handovers between data scientists and ML engineers.


