updated syntax of describe, retrain, finetune

docs/sql/api/describe.mdx

@@ -17,6 +17,12 @@ Here is how to retrieve general information on the model:
 DESCRIBE model_name;
 ```
 
+Or:
+
+```sql
+DESCRIBE MODEL model_name;
+```
+
 This command is similar to the below command:
 
 ```sql
@@ -34,7 +40,7 @@ One difference between these two commands is that `DESCRIBE` outputs an addition
 MindsDB uses the Lightwood engine by default. Let's see how to describe such models.
 
 ```sql
-DESCRIBE home_rentals_model;
+DESCRIBE [MODEL] home_rentals_model;
 ```
 
 On execution we get:
@@ -53,7 +59,7 @@ The `tables` output column lists all available options to describe a model.
 <Tab title='DESCRIBE info'>
 
 ```sql
-DESCRIBE home_rentals_model.info;
+DESCRIBE [MODEL] home_rentals_model.info;
 ```
 
 The above command returns the following output columns:
@@ -89,7 +95,7 @@ The above command returns the following output columns:
 <Tab title='DESCRIBE features'>
 
 ```sql
-DESCRIBE home_rentals_model.features;
+DESCRIBE [MODEL] home_rentals_model.features;
 ```
 
 The above command returns the following output columns:
@@ -125,7 +131,7 @@ The above command returns the following output columns:
 <Tab title='DESCRIBE model'>
 
 ```sql
-DESCRIBE home_rentals_model.model;
+DESCRIBE [MODEL] home_rentals_model.model;
 ```
 
 The above command returns the following output columns:
@@ -165,7 +171,7 @@ The above command returns the following output columns:
 <Tab title='DESCRIBE jsonai'>
 
 ```sql
-DESCRIBE home_rentals_model.jsonai;
+DESCRIBE [MODEL] home_rentals_model.jsonai;
 ```
 
 The above command returns the following output column:
@@ -193,7 +199,7 @@ The above command returns the following output column:
 MindsDB offers NLP models that utilize either Hugging Face or OpenAI engines. Let's see how to describe such models.
 
 ```sql
-DESCRIBE sentiment_classifier;
+DESCRIBE [MODEL] sentiment_classifier;
 ```
 
 On execution we get:
@@ -212,7 +218,7 @@ The `tables` output column lists all available options to describe a model.
 <Tab title='DESCRIBE args'>
 
 ```sql
-DESCRIBE sentiment_classifier.args;
+DESCRIBE [MODEL] sentiment_classifier.args;
 ```
 
 The above command returns the following output columns:
@@ -240,7 +246,7 @@ The above command returns the following output columns:
 <Tab title='DESCRIBE metadata'>
 
 ```sql
-DESCRIBE sentiment_classifier.metadata;
+DESCRIBE [MODEL] sentiment_classifier.metadata;
 ```
 
 The above command returns the following output columns:
@@ -272,7 +278,7 @@ The above command returns the following output columns:
 MindsDB integrates Nixtla engines, such as StatsForecast, NeuralForecast, and HierarchicalForecast. Let's see how to describe models based on Nixtla engines.
 
 ```sql
-DESCRIBE quarterly_expenditure_forecaster;
+DESCRIBE [MODEL] quarterly_expenditure_forecaster;
 ```
 
 On execution we get:
@@ -291,7 +297,7 @@ The `tables` output column lists all available options to describe a model.
 <Tab title='DESCRIBE info'>
 
 ```sql
-DESCRIBE quarterly_expenditure_forecaster.info;
+DESCRIBE [MODEL] quarterly_expenditure_forecaster.info;
 ```
 
 The above command returns the following output columns:
@@ -323,7 +329,7 @@ The above command returns the following output columns:
 <Tab title='DESCRIBE features'>
 
 ```sql
-DESCRIBE quarterly_expenditure_forecaster.features;
+DESCRIBE [MODEL] quarterly_expenditure_forecaster.features;
 ```
 
 The above command returns the following output columns:
@@ -355,7 +361,7 @@ The above command returns the following output columns:
 <Tab title='DESCRIBE model'>
 
 ```sql
-DESCRIBE quarterly_expenditure_forecaster.model;
+DESCRIBE [MODEL] quarterly_expenditure_forecaster.model;
 ```
 
 The above command returns the following output columns:
@@ -395,13 +401,13 @@ The above command returns the following output columns:
 Models that utlize LangChain or are brought to MindsDB via MLflow can be described as follows:
 
 ```sql
-DESCRIBE other_model;
+DESCRIBE [MODEL] other_model;
 ```
 
 The above command returs `["info"]` in its first output column.
 
 ```sql
-DESCRIBE other_model.info;
+DESCRIBE [MODEL] other_model.info;
 ```
 
 The above command lists basic model information.

docs/sql/api/finetune.mdx

@@ -18,7 +18,7 @@ Imagine you have a model that was trained with a certain dataset. Now there is m
 Here is the syntax:
 
 ```sql
-FINETUNE project_name.model_name
+FINETUNE [MODEL] project_name.model_name
 FROM integration_name
     (SELECT column_name, ... FROM table_name)
 [USING

docs/sql/api/retrain.mdx

@@ -7,14 +7,14 @@ sidebarTitle: Retrain a Model
 
 The `RETRAIN` statement is used to retrain the already trained predictors with the new data. The predictor is updated to leverage the new data in optimizing its predictive capabilities.
 
-Retraining takes at least as much time as the training process of the predictor did because now the dataset used to retrain has new or updated data.
+Retraining takes at least as much time as the training process of the predictor did because now the dataset used to retrain has new or updated data in addition to the *old* data.
 
 ## Syntax
 
 Here is the syntax:
 
 ```sql
-RETRAIN project_name.predictor_name
+RETRAIN [MODEL] project_name.predictor_name
 [FROM integration_name
     (SELECT column_name, ... FROM table_name)
 PREDICT target_name