Machine Learning, Prompt Engineering, Llm, Generative Ai Tools, Mlops.
--generate_len 20 # For running MMLU, SQuAD V2, IWSLT, UN Multi, and Math dataset python main.py --model google/flan-t5-large \ --dataset mmlu \ --attack semantic \ --shot 0 \ --generate_len 20 The Interesting Findings Not all LLMs are created equal Some models are more sensitive to prompt attacks