Augmentoolkit 3.0

Augmentoolkit 3.0 is a strong toolkit. It helps users make special datasets and train custom large language models. This new version has big improvements. It has 16 pipelines now, compared to just 3 before. It can also train whole large language models by itself. The toolkit works well with open-source models like Deepseek or Llama. It can run on regular computers, so it is easy to use and not expensive.

Benefits
Augmentoolkit 3.0 has several good points. Users can upload documents and make custom large language models. This lets them control how the AI acts and understands things. The toolkit can work offline on most computers. This means users do not need special keys for making data. It makes data quickly and well. The toolkit has better ways to make the AI good at facts. There is lots of help to understand the new features. Users can get help on the Discord server. There are also videos and a newsletter for more help.

Use Cases
Augmentoolkit 3.0 can be used in many ways. It can make an assistant that understands big data. It can align a model to any task without changing code. It can make classification datasets and train classifiers. It can create detailed roleplaying data. Users can make new pipelines by writing Python functions. There are templates and help to guide them.

Additional Information
Augmentoolkit 3.0 is always getting better. The developer wants to talk to groups about helping the project or investing in it. Users can join the Discord server for help. They can share their projects and help make new pipelines. The project welcomes fixes, new pipelines, and improvements.