Experimental Epistemology
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Experimental Epistemology

A collection of 5 posts
9. Understanding Machine One
Experimental Epistemology

9. Understanding Machine One

UM1 is a cloud based REST service that provides Natural Language Understanding (NLU) as a Service (UaaS). It can be viewed as providing a "large" language Model in the style of  GPT/3 and Google BERT but it currently cannot generate any language; it is strictly an Understanding Machine. And
Jul 25, 2022 — 6 min read
8. Organic Learning
Organic Learning

8. Organic Learning

An Evolution Based Alternative to Deep Learning for Natural Languages that can learn a useful amount of any language on the planet in five minutes on a laptop
Jul 25, 2022 — 12 min read
Organic Learning

B4. Corpus Congruence

Understanding in brains and machines can be defined and measured as Corpus Congruence. Corpus Congruence as a metric spans up almost all of NLP.
Jul 6, 2022 — 1 min read
6. Experimental Epistemology for AI
Experimental Epistemology

6. Experimental Epistemology for AI

We can now create computer based experimental implementations to Epistemology-level theories in order to test them and learn from the outcomes
Jul 2, 2022 — 2 min read
7. The Red Pill of Machine Learning
Experimental Epistemology Featured

7. The Red Pill of Machine Learning

Reductionism is the use of Models. Holism is the avoidance of Models. Models are scientific models, theories, hypotheses, formulas, equations, naïve models based on personal experiences, superstitions (!), and traditional computer programs
Jun 30, 2022 — 27 min read
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