Remove second NavFT blueprint (#441)

Removing the second NavFT blueprint after discovering that the dataset is one generated from GPT4. Renaming pieces of the new blueprint to have the original tag names, and removing no-longer-necessary icons.

use_cases/details/navigator-ft.md

@@ -1,14 +1,7 @@
-![Generate synthetic tabular, text and time series data](https://blueprints.gretel.cloud/use_cases/images/navigator-ft-hero.png "Generate synthetic tabular, text and time series data")
+![Synthesize tabular data with Navigator Fine Tuning](https://blueprints.gretel.cloud/use_cases/images/navigator-ft-hero.png "Synthesize tabular data with Navigator Fine Tuning")
 
-**Navigator Fine Tuning** is the latest advancement in our suite of synthetic data solutions. It builds upon the recent general availability of [Gretel Navigator](https://console.gretel.ai/navigator), enabling you to generate data not only from a prompt, but also from fine-tuning the underlying model on your domain-specific real-world datasets to generate the highest quality synthetic data.
+If you’re new to Gretel, our Navigator Fine-Tuning blueprint is a great place to start. This blueprint automatically selects our comprehensive multi-modal model, a great one-stop shop for most synthetic data generation needs. Just answer a few questions, review the model configuration and hit **Run**. 
 
-One of the standout features of Navigator Fine Tuning is its support for multiple tabular data modalities within a single model. This means you can now generate datasets that maintain correlations across:
-- Numeric Data: Continuous or discrete numbers
-- Categorical Data: Categories or labels
-- Free Text: Unstructured text entries and long-form natural language such as email messages or notes in medical treatment summaries
-- Time Series: Sequential time-stamped data
-- JSON Data: Complex nested structures
+Navigator Fine-Tuning supports mutliple tabular modalities of data within a single model, such as numeric, categorical, and free text data.
 
-All these data types can coexist within a single dataset, maintaining correlations not just within individual rows, but also across events spanning multiple rows, making Navigator  an exceptionally powerful tool for time series data generation.
-
-Try it in the Console, or if you prefer code, give the [SDK notebook](https://colab.research.google.com/github/gretelai/gretel-blueprints/blob/main/docs/notebooks/demo/navigator-fine-tuning-intro-tutorial.ipynb) a spin. 
+Prefer coding? Check out the [SDK notebook](https://colab.research.google.com/github/gretelai/gretel-blueprints/blob/main/docs/notebooks/demo/navigator-fine-tuning-intro-tutorial.ipynb) example.

use_cases/gretel.json

@@ -17,16 +17,20 @@
       }
     },
     {
-      "gtmId": "use-case-navigator-ft-simple",
+      "gtmId": "use-case-navigator-ft",
       "title": "Synthesize tabular data with Navigator Fine Tuning",
       "description": "Use Gretel's flagship model to create high-quality, domain-specific tabular datasets, supporting data types such as numeric, categorical, and free text.",
       "cardType": "Console",
       "tag": "New",
-      "icon": "navigator-ft-simple.png",
-      "detailsFileName": "navigator-ft-simple.md",
+      "icon": "navigator-ft.png",
+      "detailsFileName": "navigator-ft.md",
       "modelType": "navigator_ft",
       "modelCategory": "synthetics",
-      "defaultConfig": "config_templates/gretel/synthetics/navigator-ft.yml"
+      "defaultConfig": "config_templates/gretel/synthetics/navigator-ft.yml",
+      "button1": {
+        "label": "SDK Notebook",
+        "link": "https://colab.research.google.com/github/gretelai/gretel-blueprints/blob/main/docs/notebooks/demo/navigator-fine-tuning-intro-tutorial.ipynb"
+      }
     },
     {
       "gtmId": "use-case-redact-pii",
@@ -168,29 +172,6 @@
         "bytes": 63000
       }
     },
-    {
-      "gtmId": "use-case-navigator-ft",
-      "title": "Generate synthetic tabular, text and time series data with Navigator Fine Tuning ",
-      "description": "Try out our latest synthetic model supporting tabular, text, JSON and time series data in a single dataset.",
-      "cardType": "Console",
-      "icon": "navigator-ft.png",
-      "detailsFileName": "navigator-ft.md",
-      "modelType": "navigator_ft",
-      "modelCategory": "synthetics",
-      "defaultConfig": "config_templates/gretel/synthetics/navigator-ft.yml",
-      "sampleDataset": {
-        "fileName": "sample-patient-events.csv",
-        "description": "This medical dataset contains sequences of annotated events (such as hospital admission, diagnosis, treatment, etc.) for 1,712 synthetic patients.",
-        "records": 7348,
-        "fields": 17,
-        "trainingTime": "25 mins",
-        "bytes": 2386363
-      },
-      "button1": {
-        "label": "SDK Notebook",
-        "link": "https://colab.research.google.com/github/gretelai/gretel-blueprints/blob/main/docs/notebooks/demo/navigator-fine-tuning-intro-tutorial.ipynb"
-      }
-    },
     {
       "gtmId": "use-case-transform-database",
       "title": "Redact PII in a database",