LLM Training Failure Diagnosis
LLM Training Failures, Solved.
#Productivity
#Developer Tools
LLM Training Failure Diagnosis – Diagnose NaN, OOM, and Deadlock Errors in LLM Training
Summary: A database designed to identify and resolve NaN, OOM, and deadlock errors during large language model training, enabling faster troubleshooting and error correction.
What it does
It provides a definitive database to diagnose and fix NaN, out-of-memory, and deadlock issues encountered in LLM training processes.
Who it's for
Developers and engineers working on training large language models who need to troubleshoot training failures.
Why it matters
It reduces time spent guessing causes of training failures by offering targeted diagnostics for common critical errors.