Improved Fine-Tuned Reinforcement Learning From Human Feedback Using Prompting Methods for News Summarization.

ChatGPT uses a generative pretrained transformer neural network model, which is under the larger umbrella of generative models. One major boom after ChatGPT is the advent of prompt engineering, which is the most critical part of ChatGPT that utilizes Large Language Models (LLM) and helps ChatGPT pr...

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Hlavní autoři:	Sini Raj Pulari, Maramreddy Umadevi, Shriram K. Vasudevan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Universidad Internacional de La Rioja (UNIR) 2025-03-01
Edice:	International Journal of Interactive Multimedia and Artificial Intelligence
Témata:	Abstractive Summarization Extractive Summarization Natural Language Processing News Summarization Prompt Engineering Reinforcement Learning From Human Feedback (RLHF)
On-line přístup:	https://www.ijimai.org/index.php/ijimai/article/view/259
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