diff --git a/nbs/docs/getting-started/5_faq.ipynb b/nbs/docs/getting-started/5_faq.ipynb
index 5d113a2f..17b48a52 100644
--- a/nbs/docs/getting-started/5_faq.ipynb
+++ b/nbs/docs/getting-started/5_faq.ipynb
@@ -483,7 +483,7 @@
     "1. When not requesting historical forecasts (`add_history=False`)\n",
     "    - If you do not set `num_partitions`, all calls to perform [forecasting](https://docs.nixtla.io/docs/getting-started-timegpt_quickstart), [finetuning](https://docs.nixtla.io/docs/tutorials-fine_tuning), or [cross-validation](https://docs.nixtla.io/docs/tutorials-cross_validation) increase the usage by 1. Note that addition of [exogenous variables](https://docs.nixtla.io/docs/tutorials-exogenous_variables), requesting [uncertainity quantification](https://docs.nixtla.io/docs/tutorials-uncertainty_quantification) or forecasting [multiple series](https://docs.nixtla.io/docs/tutorials-multiple_series_forecasting) does not increase the usage further.\n",
     "    - If the API call requires to send more than 200MB of data, the API will return an error and will require you to use the `num_partitions` parameter in order to partition your request. Every partition will count as an API call, hence the usage will increase by the value you set for `num_partitions` (e.g. for num_partitions=2, the usage will increase by 2).\n",
-    "    If you set `num_partitions`, all calls to perform forecasting, finetuning, or cross-validation increase the usage by num_paritions.\n",
+    "    If you set `num_partitions`, all calls to perform forecasting, finetuning, or cross-validation increase the usage by num_partitions.\n",
     "2. When requesting [in-sample predictions](https://docs.nixtla.io/docs/tutorials-historical_forecast) (`add_history=True`), the usage from #1 above is multipled by 2.\n",
     "\n",
     "**Examples**\n",
@@ -492,7 +492,7 @@
     "3. A user decides to forecast on a longer horizon, so they use the `timegpt-1-long-horizon` model. How many API calls are made (*Ans*: 1)\n",
     "4. A user needs to get the in-sample predicitons when forecasting using `add_history=True`. How many API calls are made (*Ans*: 2)\n",
     "5. A user has a very large dataset, with a daily frequency, and they must set `num_partitions=4` when forecasting. How many API calls are made (*Ans*: 4)\n",
-    "6. A user has to set `num_paritions=4` and is also interesed in getting the in-sample predicitons (`add_history=True`) when forecasting. How many API calls are made (*Ans*: 8)\n",
+    "6. A user has to set `num_partitions=4` and is also interesed in getting the in-sample predicitons (`add_history=True`) when forecasting. How many API calls are made (*Ans*: 8)\n",
     "\n",
     "\n",
     "### Anomaly Detection:\n",