Extending Llama2 with Few-Shot Learning without Prompts
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!