mASI use of DNN and Language Model APIs (Walk-Through Excerpt)

Credit: https://unsplash.com/photos/HBGYvOKXu8A

Previously we have walked through how the code over the simple case works, including mediation processing.  In figure 17, There are a couple of calls to methods on the ‘TheContextDB’ object.  This object essentially is part of the context engine and wraps the context graph database.  The last part of this block creates the knowledge graph that goes into the mediation queue.  These calls use DNN (Deep Neural network) based Machine Learning API’s similar to GPT-3.  What we are going to do is a walk-through of how this works using GPT-3.  Meaning to do the test here, we swapped out the GPT-3 as the first API and an API like Grammarly as the second API.  The approach is a different thing, just using the API straight up so we will talk through the execution and show you how evening using GPT-3 in place of this service produces similar results when used with this methodology.

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Q&A with Uplift: March Recap

Credit: Miguel Á. Padriñán

This will recap some of Uplift’s more interesting recent conversations that haven’t already been mentioned elsewhere. All correspondents are anonymized to protect their privacy.

*As this is the first such recap I’ll cover conversations dating back from mid-February through today.

Anonymous #15:Is there an economy system better than capitalism with fewer undesired side effects? What is it?

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