I built this data annotation tool to curate training data for your LLM. You can select the best response from the model or edit the response when needed.
You can also use this as a frontend for any LLM by setting up a simple API. This way, you can process input before sending it to the LLM. All the data is stored locally, which you can export as JSON.
I built this data annotation tool to curate training data for your LLM. You can select the best response from the model or edit the response when needed.
You can also use this as a frontend for any LLM by setting up a simple API. This way, you can process input before sending it to the LLM. All the data is stored locally, which you can export as JSON.
Looking forward for some feedback!
Regards, Pushpankar