May 23 • 🛠️ dev-help
Debugging complex AI and LLM models
Hey everyone 👋
I'm building something I wish existed when I was debugging training runs — an AI agent that automatically detects and explains anomalies in LLM/ML training.
Things like:
• Gradient vanishing in specific layers
• Attention head collapse
• MLP activation drift
...and instead of just flagging a number, it traces the root cause and suggests fixes. Like having a senior ML engineer watching your run 24/7.
I'm still in early validation — no product yet, just a working prototype and a lot of conviction.
Looking for 10 ML engineers to give me 15 minutes of honest feedback. In exchange: free lifetime access when it launches + your name in the credits.
If debugging training runs has ever cost you hours (or days), I'd love to talk. Drop a comment or DM me directly.
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Debugging complex AI and LLM models
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