Self Learning AI with Automated LORA training
The AI trains itself from synthetic data generated with additional data from RAG outputs. Every day it gathers what it learns and trains a new LORA for that day, retrieving the proper LORA using RAG to extract documents related to the prompt and using the appropriate LORA as if it remembers things from that day. The users could create nodes that will pull from various datasets, like Facebook Search, Google Search, its own outputs, documents, etc. And then finetunes a LORA using those data which can be switched by retrieving the related documents that have that LORA tag to use it. The users can also share LORAs or even sell them.
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