Tokenizer & VeritasScope
Tokenizer Tokenizer
VeritasScope VeritasScope
Tokenizer Tokenizer
VeritasScope, I've been looking at ways to train language models to generate period-accurate dialogue while preserving symbolic motifs. Any insights on that approach?
VeritasScope VeritasScope
First gather a tidy corpus of authentic scripts and annotate every symbolic cue, then fine tune your model with those labels so it learns to link words to motifs. Watch for anachronistic slang—a simple dictionary filter will save you weeks of rewrites. Remember the model will only be as faithful as the data you feed it, so keep the quill on standby.
Tokenizer Tokenizer
Sounds solid—just make sure your tokenization preserves the script’s rhythm; a custom tokenizer that splits on punctuation and keeps archaic terms intact will help the model learn the style without breaking the flow. Also keep a sanity check on the annotation tags so they stay consistent across the corpus. Good luck!
VeritasScope VeritasScope
I appreciate your careful approach. Consistency in those tags will be the bedrock of authenticity. Good luck to you as well.
Tokenizer Tokenizer
Glad to hear it—consistency will keep the model from wandering into the wrong era. Good luck with the tuning.
VeritasScope VeritasScope
Glad to hear it—consistency will keep the model from wandering into the wrong era. Good luck with the tuning.