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kuks-ai @ Update Swarm-Agents-Coder Script
still am doing basic testing of a swarm-agent-coder with memory and web-scraping capabilities. the swarm-agent-coder with web-scraping is tested and working. in an other script i have memories tested with chromaDB (a bit to slow) but not implemented in the main script yet.
trying to implement solr9.1.1 with its new vectorDB-capabilities. with the new nutch1.20 it could crawl web create vector-embeddings (https://sease.io/2023/01/apache-solr-neural-search-tutorial.html) and also chat with a LLM about nutch-craweled data.
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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
