GitHub / RohitMacherla3 / wikiHow_text_summarization_llms

The project aims to utilize pre-trained Large Language Models (LLMs) for text summarization through diverse fine-tuning techniques. Comparative analysis with baseline RNN/LSTM language models is undertaken, utilizing established metrics such as Rouge score and BLEU.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RohitMacherla3%2FwikiHow_text_summarization_llms
PURL: pkg:github/RohitMacherla3/wikiHow_text_summarization_llms

Commit Stats

Commits: 19
Authors: 3
Mean commits per author: 6.33
Development Distribution Score: 0.105
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/RohitMacherla3/wikiHow_text_summarization_llms

Topics: fine-tuning, llms, nlp, summarization, transformers

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