Update README.md

README.md

@@ -101,8 +101,30 @@ responses = generator.generate_and_save_results(
 print(responses)
 ```
 
+### Using Execution guided Decoding
+
+This strategy executes the generated SQL against the DB and, if it fails, uses the error message for correction, repeating until it gets a valid result or the retries run out.
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/637b0075806b18943e4ba357/_5rdIQZwyaUFb84xKW_AV.png)
+
+```python
+from premsql.executors import SQLiteExecutor
+
+executor = SQLiteExecutor()
+response = generator.generate_and_save_results(
+    dataset=bird_dataset,
+    temperature=0.1,
+    max_new_tokens=256,
+    force=True,
+    executor=executor,
+    max_retries=5 # this is optional (default is already set to 5)
+)
+```
+
+
 You can also fine-tune Prem-1B-SQL using HuggingFace Transformers and with [PremSQL Tuners](https://docs.premai.io/premsql/tuners)  as well.
-Please [check out our documentation](https://docs.premai.io/premsql) to know about more about PremSQL and all the features
+Please [check out our documentation](https://docs.premai.io/premsql/introduction) to know about more about PremSQL and all the features
 we provide.