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RAG vs LLM: News Summarization Techniques by ÀDÂRSHk10 is a document available to read on EtoBox.

What is RAG vs LLM: News Summarization Techniques about?

The project aims to develop a Personalized News Summarization system by comparing various RAG techniques and LLM models to identify the most effective method for generating concise news summaries. It will utilize datasets like CNN/DailyMail and Newsroom, and evaluate techniques such as Dense Retrieval and GPT-4 based on criteria like ROUGE and BLEU scores. The project is structured over 30 days, including phases for data preparation, model implementation, evaluation, and final reporting.

Author

ÀDÂRSHk10

Language

EN