example in examples of caching

examples/model_examples/cache.py

@@ -0,0 +1,27 @@
+import pandas as pd
+
+import lotus
+from lotus.models import LM
+
+lm = LM(model="gpt-4o-mini") 
+
+lotus.settings.configure(lm=lm, enable_cache=True) # default caching is False
+data = {
+    "Course Name": [
+        "Probability and Random Processes",
+        "Optimization Methods in Engineering",
+        "Digital Design and Integrated Circuits",
+        "Computer Security",
+    ]
+}
+df = pd.DataFrame(data)
+user_instruction = "{Course Name} requires a lot of math"
+df = df.sem_filter(user_instruction)
+print("====== intial run ======")
+print(df)
+
+# run a second time
+df = df.sem_filter(user_instruction)
+print("====== second run ======")
+print(df)
+