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hello everyone in todayamp;#39;s video we are going to look into artifacts and how we can use ml flow to lock these kind of files as I mentioned as I mentioned previously an artifact is basically any kind of output that is generated by the execution of the machine learning workflow uh so let me go you to the code that I have written for this video as always the first thing that we are doing is to retrieve the experiment in which we want to letamp;#39;s say execute difference then we are creating a new MFL run and we are using this premium ID to tie this wrong with experiment uh here in these two lines of code we are basically creating uh uh THD file in which I have written the the phrase hello world this code will generate a file that we can see here we will see here this is the file that we want to log using mlflow so here I am using the method lock artifact uh which receives basically the the argument local path uh it refers to the location in which this file can be stored or the f