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12 months ago
andrewzh/Absolute_Zero_Reasoner-Coder-3b:
Inference and finetuning
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๐ข Seriously, We can't go with Big5 or other non structured descriptions to diverse large amount of characters ๐จโ๐ฉโ๐ฆโ๐ฆ from many books ๐. Instead, The factorization + open-psychometrics antonyms extracted from dialogues is a key ๐ for automatic character profiling that purely relies on book content ๐. With that, happy to share delighted to share with you ๐ more on this topic in YouTube video: https://youtu.be/UQQsXfZyjjc ๐ From which you will find out: โ How to perform book processing ๐ aimed at personalities extraction โ How to impute personalities ๐จโ๐ฉโ๐ฆโ๐ฆ and character network for deep learning ๐ค โ How to evaluate ๐ advances / experiment findings ๐งช Additional materials: ๐ Github: https://github.com/nicolay-r/book-persona-retriever ๐ Paper: https://www.dropbox.com/scl/fi/0c2axh97hadolwphgu7it/rusnachenko2024personality.pdf?rlkey=g2yyzv01th2rjt4o1oky0q8zc&st=omssztha&dl=1 ๐ Google-colab experiments: https://colab.research.google.com/github/nicolay-r/deep-book-processing/blob/master/parlai_gutenberg_experiments.ipynb ๐ฆ Task: https://github.com/nicolay-r/parlai_bookchar_task/tree/master
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andrewzh/Absolute_Zero_Reasoner-Coder-3b
12 months ago
Inference and finetuning
#1 opened 12 months ago by
aiisthebest