Live NoteBook Link to use the Summarizer -> https://colab.research.google.com/drive/1AGtzmenCRQGsUle8vllu1B2j54UmSP_9?usp=sharing
This project aims to develop an intelligent system for automatically summarizing meta review data associated with academic papers. Leveraging the power of a pre-trained Generative AI Language Model (GenAI LLM), the system streamlines the process of distilling essential insights from meta reviews, providing users with concise summaries.
Pre-Trained GenAI LLM: Utilizes an open-source GenAI LLM model for language understanding and generation. The pre-trained model forms the foundation for fine-tuning to enhance its proficiency in summarizing meta review content.
Fine-Tuning Process: Employs fine-tuning techniques to adapt the pre-trained GenAI LLM to the specific domain of academic meta reviews. Enhances model accuracy and coherence through iterative training on the provided dataset.