Update README.md

README.md

@@ -17,8 +17,8 @@ So in a sense, the experts will say what the settings are most likely going to b
 This should provide the necessary yields that I require, assuming I pick experts with relationally similar math. So... parameter narrowing soup for now, 
 eventually the system should be able to directly self-attenuate the parameters for the best suggested parameters at the get-go.
 
-The models themselves will never be trained by the experts, only the params selected by what is most likely. The models will never see an expert opinion directly,
-nor will they be given gradients from anything expert-related. Everything in a vacuum.
+The models themselves for this experiment set will never be trained by the experts, only the params selected by what is most likely. 
+The models will never see an expert opinion directly, nor will they be given gradients from anything expert-related. Everything in a vacuum.
 
 ## Flows, Routes, Patterns, Trajectories, Magnitudes, Etc
 Everything mathematically will have a represented flow attenuation mechanism specifically aligned to the curation of that math.