Update links in docs (#295)

Signed-off-by: Shashank Verma <[email protected]>

Author: shashank3959

nemo/data-flywheel/tool-calling/2_finetuning_and_inference.ipynb

@@ -137,7 +137,7 @@
    "source": [
     "### Resource Organization Using Namespace\n",
     "\n",
-    "You can use a [namespace](https://developer.nvidia.com/docs/nemo-microservices/manage-entities/namespaces/index.html) to isolate and organize the artifacts in this tutorial."
+    "You can use a [namespace](https://docs.nvidia.com/nemo/microservices/latest/manage-entities/namespaces/index.html) to isolate and organize the artifacts in this tutorial."
    ]
   },
   {
@@ -191,7 +191,7 @@
    "source": [
     "#### Verify Namespaces\n",
     "\n",
-    "The following [Data Store API](https://developer.nvidia.com/docs/nemo-microservices/api/datastore.html) and [Entity Store API](https://developer.nvidia.com/docs/nemo-microservices/api/entity-store.html) list the namespace created in the previous cell."
+    "The following [Data Store API](https://docs.nvidia.com/nemo/microservices/latest/api/datastore.html) and [Entity Store API](https://docs.nvidia.com/nemo/microservices/latest/api/entity-store.html) list the namespace created in the previous cell."
    ]
   },
   {
@@ -252,7 +252,7 @@
     "\n",
     "**Note that this step does not interact with Hugging Face at all, it just uses the client library to interact with NeMo Data Store.** This is in comparison to the previous notebook, where we used the `load_dataset` API to download the xLAM dataset from Hugging Face's repository.\n",
     "\n",
-    "More information can be found in [documentation](https://developer.nvidia.com/docs/nemo-microservices/manage-entities/tutorials/manage-dataset-files.html#set-up-hugging-face-client)"
+    "More information can be found in [documentation](https://docs.nvidia.com/nemo/microservices/latest/manage-entities/tutorials/manage-dataset-files.html#set-up-hugging-face-client-with-nemo-data-store)"
    ]
   },
   {
@@ -313,7 +313,7 @@
    "id": "97ac352a-31b9-4144-ad0f-699fcceebfc2",
    "metadata": {},
    "source": [
-    "Next, creating a dataset programmatically requires two steps: uploading and registration. More information can be found in [documentation](https://developer.nvidia.com/docs/nemo-microservices/manage-entities/datasets/create-dataset.html#how-to-create-a-dataset)."
+    "Next, creating a dataset programmatically requires two steps: uploading and registration. More information can be found in [documentation](https://docs.nvidia.com/nemo/microservices/latest/manage-entities/datasets/create-dataset.html)."
    ]
   },
   {
@@ -1005,7 +1005,7 @@
     "### 2.3 Validate Availability of Custom Model\n",
     "The following NeMo Entity Store API should display the model when the training job is complete.\n",
     "The list below shows all models filtered by your namespace and sorted by the latest first.\n",
-    "For more information about this API, see the [NeMo Entity Store API reference](https://developer.nvidia.com/docs/nemo-microservices/api/entity-store.html).\n",
+    "For more information about this API, see the [NeMo Entity Store API reference](https://docs.nvidia.com/nemo/microservices/latest/api/entity-store.html).\n",
     "With the following code, you can find all customized models, including the one trained in the previous cells.\n",
     "Look for the `name` fields in the output, which should match your `CUSTOMIZED_MODEL`."
    ]
@@ -1384,7 +1384,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,

nemo/data-flywheel/tool-calling/3_model_evaluation.ipynb

@@ -194,7 +194,7 @@
    "metadata": {},
    "source": [
     "### 1.1: Create an Evaluation Config Object\n",
-    "Create an evaluation configuration object for NeMo Evaluator. For more information on various parameters, refer to the [NeMo Evaluator configuration](https://developer.nvidia.com/docs/nemo-microservices/evaluate/evaluation-configs.html) in the NeMo microservices documentation.\n",
+    "Create an evaluation configuration object for NeMo Evaluator. For more information on various parameters, refer to the [NeMo Evaluator configuration](https://docs.nvidia.com/nemo/microservices/latest/evaluate/evaluation-configs.html) in the NeMo microservices documentation.\n",
     "\n",
     "\n",
     "* The `tasks.custom-tool-calling.dataset.files_url` is used to indicate which test file to use. Note that it's required to upload this to the NeMo Data Store and register with Entity store before using.\n",
@@ -875,7 +875,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,