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Text Summarization of news articles with fine Tuned LLM using Hugging Face
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Mohammad Arshad

JAN.

13

Sa., 13 Jan.

08:30 vorm. - 09:30 vorm. (Coordinated Universal Time)

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Title: Text Summarization of news articles with fine Tuned LLM using Hugging Face Duration 1 Hr: Platform : Google Collab Industry Applications Legal Firms – Contract Summarization Information Industry – Summarized News Business Intelligence – Report summarization Abstract For this use case we Fine tune a Pre Trained LLM for text summarization. We use an open Source news dataset with news articles and text summary for the same. With a higher computing power the same use case maybe trained on a Large corpus of documents to build a Bot based Information retrieval system. The same maybe Augmented with Voice to Text features to develop ALEXA Like capabilities for information retrieval Speaker : Dr. Anish Roychowdhury, Freelance Consultant and Adjunct Faculty Speaker Short Bio Data Science Professional with a total career experience of 20 plus years across industry and academia Have led teams and initiatives in digital transformation across Pharma ,Supply Chain Logistics and CPG Sectors. Hold a Ph.D. (IISc Bangalore) in the computational MEMS and a Master’s in Mechanical Systems (Louisiana State University, USA), with thesis in Semi conductor based fabrication, with an Undergraduate degree from NIT Durgapur.
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Text Summarization of news articles with fine Tuned LLM using Hugging Face
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Text Summarization of news articles with fine Tuned LLM using Hugging Face

Sat, 13 January • 08:30AM