diff --git a/docs/docs/install/environment-variables.md b/docs/docs/install/environment-variables.md
index e31db7955e..a33afd4f50 100644
--- a/docs/docs/install/environment-variables.md
+++ b/docs/docs/install/environment-variables.md
@@ -149,7 +149,7 @@ Redis (Sentinel) URL example JSON before encoding:
 ## Machine Learning
 
 | Variable                                                  | Description                                                                                         |             Default             | Containers       |
-| :-------------------------------------------------------- | :-------------------------------------------------------------------------------------------------- | :-----------------------------: | :--------------- | --- | -------------------------------------- | ------------------------------------------------------------------------------------ | --- | ---------------- |
+| :-------------------------------------------------------- | :-------------------------------------------------------------------------------------------------- | :-----------------------------: | :--------------- |
 | `MACHINE_LEARNING_MODEL_TTL`                              | Inactivity time (s) before a model is unloaded (disabled if \<= 0)                                  |              `300`              | machine learning |
 | `MACHINE_LEARNING_MODEL_TTL_POLL_S`                       | Interval (s) between checks for the model TTL (disabled if \<= 0)                                   |              `10`               | machine learning |
 | `MACHINE_LEARNING_CACHE_FOLDER`                           | Directory where models are downloaded                                                               |            `/cache`             | machine learning |
@@ -167,9 +167,9 @@ Redis (Sentinel) URL example JSON before encoding:
 | `MACHINE_LEARNING_DEVICE_IDS`<sup>\*4</sup>               | Device IDs to use in multi-GPU environments                                                         |               `0`               | machine learning |
 | `MACHINE_LEARNING_MAX_BATCH_SIZE__FACIAL_RECOGNITION`     | Set the maximum number of faces that will be processed at once by the facial recognition model      |  None (`1` if using OpenVINO)   | machine learning |
 | `MACHINE_LEARNING_RKNN`                                   | Enable RKNN hardware acceleration if supported                                                      |             `True`              | machine learning |
-| `MACHINE_LEARNING_RKNN_TEXTUAL_THREADS`                   | How many threads of RKNN runtime should be spinned up while infrencing textual model.               |                1                | machine learning |
-| `MACHINE_LEARNING_RKNN_VISUAL_THREADS`                    | How many threads of RKNN runtime should be spinned up while infrencing visual model.                |                1                | machine learning |
-| `MACHINE_LEARNING_RKNN_TEXTUAL_THREADS`                   | How many threads of RKNN runtime should be spinned up while infrencing textual model.               |                1                | machine learning |     | `MACHINE_LEARNING_RKNN_FACIAL_THREADS` | How many threads of RKNN runtime should be spinned up while infrencing facial model. | 1   | machine learning |
+| `MACHINE_LEARNING_RKNN_TEXTUAL_THREADS`                   | How many threads of RKNN runtime should be spinned up while infrencing textual model.               |               `1`               | machine learning |
+| `MACHINE_LEARNING_RKNN_VISUAL_THREADS`                    | How many threads of RKNN runtime should be spinned up while infrencing visual model.                |               `1`               | machine learning |
+| `MACHINE_LEARNING_RKNN_FACIAL_THREADS`                    | How many threads of RKNN runtime should be spinned up while infrencing facial model.                |               `1`               | machine learning |
 
 \*1: It is recommended to begin with this parameter when changing the concurrency levels of the machine learning service and then tune the other ones.