[DOC] add faq on simple data forecast

nbs/docs/getting-started/5_faq.ipynb

@@ -366,6 +366,18 @@
     "</details>"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<details>\n",
+    "    <summary>Can TimeGPT forecast simple synthetic data like a straight line or sine wave?</summary>\n",
+    "\n",
+    "While this is not the primary use case for `TimeGPT`, it is capable of generating solid results. While zero-shot predictions might not always meet expectations, a little help with fine-tuning or adding exogenous variables allows TimeGPT to quickly grasp the trend and produce accurate forecasts.\n",
+    "\n",
+    "</details>"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -410,8 +422,7 @@
     "<details>\n",
     "    <summary>Can I save fine-tuned parameters?</summary>\n",
     "\n",
-    "Currently, it is not possible to save the fine-tuned parameters for later use. This means you will need to perform fine-tuning each time you submit your data, whether using the Python SDK or the API.\n",
-    "\n",
+    "Absolutely! You asked, and we listened! Starting from `v0.6.5`, You can save and reuse fine-tuned models with ease. For detailed instructions, please visit our tutorial on [Re-using fine-tuned models](https://nixtlaverse.nixtla.io/nixtla/docs/tutorials/reusing_finetuned_models.html).\n",
     "</details>"
    ]
   },