This project focuses on Personalized Tweets Paraphrasing and Personalised Product Rating (more info can be found - https://lamp-benchmark.github.io/) in LLMs using the data from similar users. Data from similar users is retrieved using the Contriever retrieval model - https://github.com/facebookresearch/contriever. This data is then summarised and used as an input prompt into our fine tuned Flan-T5-base model - https://huggingface.co/google/flan-t5-base which is fine tuned on the data from https://lamp-benchmark.github.io/
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SiddarthSuresh98/enhanced-user-personalization
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Enhanced User Personalization using text similarity and text summarization of data in LaMP datasets for Personalized Tweet Paraphrasing and Personalized Product Rating.
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