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the viewer-map of florkz
as a result of my data-analytics with googles analytics, motomo and etracker i did a map of all registered viewers: viewers who disabled do-not-track-function in their browsers
my conclusion:
- analytics are a tricky business
- analytics are own-science
- data-analytics needs data and specialists: depending on settings, there are different results on googles analytic tool
- there is a clear split between north and south- maybe because of a misunderstood massage @florkz?
- bavaria and china are surprisingly presented- beside the fact that the viewers are international- but no local
- the views are spontaneously and content-driven...?? what can be balanced out, through more response with the like-function...the like-function is available for everybody (also not registered users!!)
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https://github.com/DuskoPre/AutoCoder/wiki
i'm not just testing LLMs but also creating a semi-liquid neural network (advanced LLM) with chromadb:
https://github.com/DuskoPre/liquid-neural-network-with-chromadb-cache
it seems there is a mayor upgrade for LLMs possible trough classifications (managing-system) of inputs to the LLM. the model is still static but trough the implementations of the classifier it can be made semi-liquid.
#dichipcoin
