diff --git a/batch_inference_v2/batch_inference_v2.ipynb b/batch_inference_v2/batch_inference_v2.ipynb
index be7a7722..bb59221f 100644
--- a/batch_inference_v2/batch_inference_v2.ipynb
+++ b/batch_inference_v2/batch_inference_v2.ipynb
@@ -478,10 +478,7 @@
     "# Import the `batch_inference_v2` function from the functions hub:\n",
     "batch_inference_function = mlrun.import_function('hub://batch_inference_v2')\n",
     "# you can import the function from the current directory as well: \n",
-    "# batch_inference_function = mlrun.import_function(\"function.yaml\")\n",
-    "\n",
-    "# Set the desired artifact path:\n",
-    "artifact_path = \"./\""
+    "# batch_inference_function = mlrun.import_function(\"function.yaml\")\n"
    ]
   },
   {
@@ -1448,23 +1445,18 @@
     "# 1. Generate data:\n",
     "generate_data_run = demo_function.run(\n",
     "    handler=\"generate_data\",\n",
-    "    artifact_path=artifact_path,\n",
     "    returns=[\"training_set : dataset\", \"prediction_set : dataset\"],\n",
-    "    local=True,\n",
     ")\n",
     "\n",
     "# 2. Train a model:\n",
     "train_run = demo_function.run(\n",
     "    handler=\"train\",\n",
-    "    artifact_path=artifact_path,\n",
     "    inputs={\"training_set\": generate_data_run.outputs[\"training_set\"]},\n",
-    "    local=True,\n",
     ")\n",
     "\n",
     "# 3. Perform batch prediction:\n",
     "batch_inference_run = batch_inference_function.run(\n",
     "    handler=\"infer\",\n",
-    "    artifact_path=artifact_path,\n",
     "    inputs={\"dataset\": generate_data_run.outputs[\"prediction_set\"]},\n",
     "    params={\n",
     "        \"model_path\": train_run.outputs[\"model\"],\n",
@@ -1474,7 +1466,6 @@
     "        \"model_endpoint_drift_threshold\": 0.2,\n",
     "        \"model_endpoint_possible_drift_threshold\": 0.1,\n",
     "    },\n",
-    "    local=True,\n",
     ")"
    ]
   },