[KongchangAI]
Product

UpGuard

A large model training debugging tool developed by ByteDance's Seed team. It performs bit-level comparison between two training runs to precisely locate the first operation at which numerical divergence occurs during training. The tool reduces debugging time from the day scale to the minute scale, substantially accelerating the identification of training anomalies.

Timeline (last 90 days)

Oct 4

UpGuard is an LLM training debugging tool that performs bit-by-bit comparison of two training runs to precisely identify the first operation where a divergence appears.

Unverified50%
Oct 4

In a production case at ByteDance, UpGuard reduced what would have been five days of debugging work to less than five minutes.

Unverified50%
Oct 4

Bit-by-bit comparison can pinpoint the finest-grained numerical divergence point at the operator level, finding the first operator where a bit deviation occurs.

Unverified50%
Oct 4

The UpGuard approach carries an implicit prerequisite—a reference run to compare against is required, and the two runs should ideally produce consistent bit-level results.

Unverified50%
Oct 4

For training scenarios that inherently introduce randomness, defining the boundary of 'what should be consistent' is a part of the bit-by-bit comparison method that requires further consideration in practice.

Unverified50%

All Facts (5)

Source Articles