Update README.md

README.md

@@ -288,13 +288,21 @@ If the user request does not necessitate a function call, simply respond to the
     # Generate final assistant response
     final_response = chat_completion(lora_model, tokenizer, messages)
     print(f"Assistant (with tool data): {final_response}")
+
+# Assistant: [{"name": "get_weather", "parameters": {"location": "New York", "unit": "fahrenheit"}}]
+# Assistant (with tool data): The current weather in New York is as follows:
+# - Temperature: 72°F
+# - Weather Condition: Partly Cloudy
+# - Humidity: 65%
+# - Wind Speed: 8 miles per hour
+# - Wind Direction: Northeast
 ```
 
 ## Limitations
 
-- LLaDA's diffusion-based generation is different from autoregressive models and may behave differently in certain contexts
+- LLaDA's diffusion-based generation is different from standard LLMs and may behave differently in certain contexts
 - The model may still hallucinate or generate incorrect tool call formats
-- Performance may vary depending on the specific tool calling task
+- The format of the tool call must precisely match what is shown in the example (which is a modified version of [the official llama 3.1 format](https://www.llama.com/docs/model-cards-and-prompt-formats/llama3_1/))
 
 ## Citation