llm-product-insights
Extracting Insights from unstructured data using Large Language Models (LLMs) for products
Notebooks
This repository contains notebooks that showcase how to extract insights from car reviews and financial texts using LLMs, Langchain, and vector stores.
Getting started
To get started with this repository, you will need to install the following dependencies:
- Python 3.9+
- transformers
- bitsandbytes
- accelerate
- datasets
- pinecone-client
- langchain
- pandas
- matplotlib
- seaborn
- sentencepiece
- xformers
- datasets
- peft
Once you have installed the dependencies, you can clone the repository and start exploring the notebooks.
Contributing
This repository is open source, and we welcome contributions from the community. If you have any suggestions for improvements, please feel free to open an issue or submit a pull request.
License
This repository is licensed under the MIT License.