https://github.com/alegendary143590/fine-tuning-llm-model
Science Score: 13.0%
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○CITATION.cff file
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○Scientific vocabulary similarity
Low similarity (9.0%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: alegendary143590
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Size: 542 KB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Finetune-Open-Source-LLMs-on-Custom-Data
Project Overview
The project aims to showcase the process of fine-tuning LLMs on industry-specific data. The provided notebook (FinetuneOpenSourceLLMs.ipynb) walks through the steps, utilizing Amazon's sales data (ConvAI_Data.csv).
Files
Input Data:
ConvAI_Data.csv- This CSV file contains the E-commerce data used for fine-tuning.
Python Notebook:
FinetuneOpenSourceLLMs.ipynb- Jupyter notebook providing a step-by-step guide on how to fine-tune open-source LLMs on custom data.
Usage
- Clone the repository:
bash
git clone https://github.com/Praveen76/Finetune-Open-Source-LLMs-on-Custom-Data.git
cd Finetune-Open-Source-LLMs-on-Custom-Data
- Open and run the Jupyter notebook:
bash
jupyter notebook FinetuneOpenSourceLLMs.ipynb
- Follow the instructions in the notebook to understand and apply fine-tuning on open-source LLMs.
Contributing
If you have a Data Science mini-project that you'd like to share, please follow the guidelines in CONTRIBUTING.md.
Code of Conduct
Please adhere to our Code of Conduct in all your interactions with the project.
License
This project is licensed under the MIT License.
Contact
For questions or inquiries, feel free to contact me on Linkedin.
Happy fine-tuning!!
About Me:
I’m a seasoned Data Scientist and founder of TowardsMachineLearning.Org. I've worked on various Machine Learning, NLP, and cutting-edge deep learning frameworks to solve numerous business problems.
Owner
- Login: alegendary143590
- Kind: user
- Repositories: 1
- Profile: https://github.com/alegendary143590