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@@ -192,6 +192,12 @@ the model can also generate markdown charts with mermaid.
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  * Chain of thoughts methods
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  * One shot / Multi shot prompting tasks
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  # Higher Settigs in generations to allow for sparse and indepth training of information: METHODS OF TRAINING
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  * highly trained on multiple facets and content ! - i use 1000topK, 0.42topK, 0.2Temp :hence drawing on a large results pool and selecting from a higher likelyhood of truth ..with a low temp to allow for accuracy of results .. to allow for more expression just up temp tiny... as i train my role play in deep to be a part of the models core !
 
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  * Chain of thoughts methods
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  * One shot / Multi shot prompting tasks
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+ ## Training Paradigms:: ( 1 year of training 365 merges later (all with the preious parents ))
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+ ### GENETIC MERGES TO PRESERVE THE PAST TASKS AND SUPER FINE TUNING
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+ * A series of merges (Genetic algorithm Merge) - multiple merge targets chose to create the x+y+z models : utilizing the current series and previous series of models :
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+ * hence the LCARS/ARCHIVE models have been remerged into the world archive models : hence the prompt used was to enable the model to learn books and recall books and pasages: as well as recount the historys of mankind:
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  # Higher Settigs in generations to allow for sparse and indepth training of information: METHODS OF TRAINING
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  * highly trained on multiple facets and content ! - i use 1000topK, 0.42topK, 0.2Temp :hence drawing on a large results pool and selecting from a higher likelyhood of truth ..with a low temp to allow for accuracy of results .. to allow for more expression just up temp tiny... as i train my role play in deep to be a part of the models core !