📣 BIG NEWS: Neptune is joining OpenAI! → Read the message from our CEO 📣

Demo

See how Neptune helps teams train foundation models

In this demo, you’ll see how Neptune lets you monitor training in detail—including per-layer, per-step activations, gradients, and weight norms—so you can evaluate experiments, debug issues, and resolve them while training is still running.

Table of content

  • 00:00:00 Intro: How can Neptune help you?
  • 00:01:10 Analyze small-scale experiments and pick the best configs
  • 00:04:42 Monitor full-scale, long training jobs
  • 00:06:41 Identify and debug training issues
  • 00:10:20 Create shareable reports
  • 00:12:48 Fork runs after solving issues
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Let’s talk about how Neptune can support your team