Benefits of Continuous Model Retraining Revealed

So now since we have talked about what's

So now since we have talked about what's

So now since we have talked about what's a financial implication what's a like we

a financial implication what's a like we

a financial implication what's a like we have talked about some of the

have talked about some of the

have talked about some of the theoretical numbers on the model uh

theoretical numbers on the model uh

theoretical numbers on the model uh drifts that happens like talks about

drifts that happens like talks about

drifts that happens like talks about what are the benefits of if you continue

what are the benefits of if you continue

what are the benefits of if you continue if you have continuous retraining of

if you have continuous retraining of

if you have continuous retraining of your models what are what will be the

your models what are what will be the

your models what are what will be the benefit of it I think one is the

benefit of it I think one is the

benefit of it I think one is the lifespan you can actually increase the

lifespan you can actually increase the

lifespan you can actually increase the model lifespan by 42%.

model lifespan by 42%.

model lifespan by 42%. Uh and then the other one is compute

Uh and then the other one is compute

Uh and then the other one is compute savings. You can actually have 60% 62%

savings. You can actually have 60% 62%

savings. You can actually have 60% 62% saving uh if you basically do regular

saving uh if you basically do regular

saving uh if you basically do regular retraining versus if you do the full

retraining versus if you do the full

retraining versus if you do the full retraining of the model.

retraining of the model.

retraining of the model. The third one is data efficiency. like

The third one is data efficiency. like

The third one is data efficiency. like you will have uh we just need like 53%

you will have uh we just need like 53%

you will have uh we just need like 53% of the training volume versus like the

of the training volume versus like the

of the training volume versus like the full retraining sample if you have to do