That night, back at the base.
Zhang Feng didn't go anywhere else, instead he used big data analysis to review the key points accumulated over the past year.
First, the 80 new pathways, and the 2 pathways that have been overclocked.
In the latter, the 2 have already been copied by himself and activated.
The former 80 can only be activated slowly.
However, there are 12 pathways for which the big data has provided some judgments through a model conversion.
These practitioners generally show signs of permanent resonance.
Zhang Feng also looked at the detail of its judgments, not very accurate but not too far off.
Then he had it make some subtle corrections based on his own thinking.
Training computing power models is something the big data center does every day.
Although it cannot innovate pathways, it can still become a supermodel computer based on existing data.
This saves Zhang Feng a lot of time.
