InternScience/GraphGen
GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation
- Stars
- 1.2k
- Forks
- 100
- Open issues
- 10
- Last push
- 2mo ago
About GraphGen
GraphGen is a free, open-source machine learning tool by InternScience, written mainly in Python. GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation. It has 1.2k GitHub stars and 100 forks, and was last updated 2mo ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Python
- Stars
- 1,234
- Last update
- 2mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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GraphGen FAQ
Is GraphGen free?
Yes. GraphGen is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does GraphGen run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does GraphGen need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is GraphGen still maintained?
It was last updated 2mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to GraphGen?
Similar free, open-source tools include superset, pytorch-image-models, SDV, great_expectations.