I am working with the Llama2 model. I have successfully started and fine-tuned the model, and I have also used Few-Shot Prompting with and without LangChain. However, now I am looking for a method similar to SetFit for Llama2 that allows Few-Shot Learning without explicit prompts. Has anyone had experience with this or can provide guidance on how to achieve this?

I have tried the following:

1. Few-Shot Prompting with LangChain.
2. Few-Shot Prompting without LangChain.

I am looking for detailed guides or examples that demonstrate how to implement Few-Shot Learning for Llama2 to improve the model’s performance without using explicit prompts.