WEBVTT 00:00.920 --> 00:04.850 So we've covered steps 1 to 4 of the five step strategy. 00:04.850 --> 00:10.010 And that brings us to step five, which is productionize the one that maybe you haven't thought as much 00:10.010 --> 00:11.240 about to date. 00:11.240 --> 00:13.520 And this is about saying we built our model. 00:13.520 --> 00:16.250 It's time for prime time. 00:16.730 --> 00:23.810 We typically will start by defining an API that can be used to call our model to call our code. 00:23.810 --> 00:32.570 That itself is either using a open source model or making a call to a frontier model with with various 00:32.780 --> 00:36.680 scaffolding around it, like rag or prompt engineering. 00:37.190 --> 00:42.500 We then decide how are we going to host and deploy our model, our API. 00:42.530 --> 00:48.410 We address things like how it's going to be monitored, the information security concerns, how will 00:48.410 --> 00:49.580 it scale up? 00:49.730 --> 00:56.750 We then measure the business metrics that we had identified all the way back in step one and continuously 00:56.750 --> 01:02.390 retrain, measure performance, and improve our model on an ongoing basis. 01:02.420 --> 01:06.320 These are all part of the Productionize activity. 01:07.820 --> 01:14.660 And so with that, where are we in our business problem that we've taken on to predict product prices. 01:14.660 --> 01:17.600 So the first step understand we've done it. 01:17.630 --> 01:18.410 We understood it. 01:18.440 --> 01:19.850 We've talked about metrics. 01:19.850 --> 01:21.170 We know what we've got to do. 01:21.200 --> 01:23.900 Preparation is what we're doing right now. 01:23.900 --> 01:26.630 We are in the middle of preparing our data set. 01:26.630 --> 01:30.290 And then we need to select our model or models. 01:30.290 --> 01:32.300 We need to customize. 01:32.390 --> 01:35.060 And then finally we need to productionize. 01:35.060 --> 01:38.060 So we will be going through all of those steps. 01:38.150 --> 01:43.400 But we will be first of all finishing the second step preparation. 01:43.400 --> 01:49.520 And with that let's go right now back to JupyterLab and get to preparing.