Fine-tune open-source Language Models (LLMs) on E-commerce data, leveraging Amazon's sales data. Showcase a tailored solution for enhanced language understanding and generation with a focus on custom E-commerce datasets.
Classification with semantic similarity and Summarization (LLM)
This repository demonstrates how to use Hugging Face Transformers for text summarization. We focus on two state-of-the-art models: BART (facebook/bart-large-cnn) T5 (t5-large) Both models are designed for sequence-to-sequence tasks, making them ideal for text summarization.
Reproducing ACL Paper for iterative text generation and performing Robustness and Multilinguality tests
Information Retrieval Project : Crisis Facts Summarization
This repository explores enhancing dialogue summarization with commonsense knowledge through the SICK framework, evaluating models on dialogue datasets to assess commonsense's impact on summarization quality.
A Software Tools & Methods Project including prompt engineering techniques for leveraging pre-trained models on Hugging Face. Concludes design, evaluation, and refining prompts for specific use cases, ensuring optimal model performance.
A Software Tools & Methods Project including prompt engineering techniques for leveraging pre-trained models on Hugging Face. Concludes design, evaluation, and refining prompts for specific use cases, ensuring optimal model performance.
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