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how can charlies win: ravey voice

the swarm coder is doing well- sometimes almost perfect. it seems there is a huge variation in the created outputs depending on LLMs point of view. if the point of view which is enabling the advanced AI can be somehow defined- advanced AI-workloads can be achieved. i've recognized memories (with chromadb) give a huge advantage for the LLM.

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    the first proof of concept semi-liquid neural network (advanced LLM) run positive (SELI NEORAD for short)
    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
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