Update README.md

README.md

@@ -38,7 +38,7 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(model_name, device_map=device, torch_dtype=torch.bfloat16)
 
-question = "A robe takes 2 bolts of blue fiber and half that much white fiber. How many bolts in total does it take?"
+question = "If $f(x) = \\frac{3x-2}{x-2}$, what is the value of $f(-2) +f(-1)+f(0)$? Express your answer as a common fraction"
 
 inputs = tokenizer(question, return_tensors="pt").to(device)
 input_length = len(inputs['input_ids'][0])