Hello everyone,
I am very new to this field and am currently working with the Llama2 model. I have successfully started and fine-tuned the model, but now I want to extend it using Few-Shot Learning without utilizing explicit prompts. My question is whether this is possible and how it can be achieved.
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.
Thank you in advance for your help!