update again3

notebooks/GenAI/.ipynb_checkpoints/GCP_Grounding-checkpoint.ipynb

@@ -125,7 +125,7 @@
     "tags": []
    },
    "source": [
-    "![grounding3](../../images/grounding_3.png)"
+    "![grounding3](../../images/Grounding_new01.png)"
    ]
   },
   {
@@ -175,15 +175,15 @@
    "id": "1df54267-b65c-44cd-a869-9723b7302771",
    "metadata": {},
    "source": [
-    "For this tutorial we'll select our data as unstructured but it also supports structured data in JSONL format and CSVs. Next choose your bucket and click **'CONTINUE'**."
+    "For this tutorial we'll select our data as unstructured but it also supports structured data in CSVs format. Next choose your bucket and click **'CONTINUE'**."
    ]
   },
   {
    "cell_type": "markdown",
    "id": "74e88355-7146-44a5-b30d-9907676dbb02",
    "metadata": {},
    "source": [
-    "![grounding6](../../images/grounding_6.png)"
+    "![grounding6](../../images/Grounding_new02.png)"
    ]
   },
   {
@@ -255,15 +255,15 @@
    "id": "369c112d-2376-43fa-9552-9498479be9fd",
    "metadata": {},
    "source": [
-    "On the console go to Vertex AI and head down to Vertex AI Studio where the playground is. Select the **Language** playground. Grounding works on Text Prompt and Text Chat but for this tutorial we will use **Text Chat**."
+    "On the console go to Vertex AI and head down to Vertex AI Studio where the playground is. Select the **Chat** playground. "
    ]
   },
   {
    "cell_type": "markdown",
    "id": "8c971978-4925-427c-900c-0e8a996c0c91",
    "metadata": {},
    "source": [
-    "![grounding11](../../images/grounding_11.png)"
+    "![grounding11](../../images/Grounding_new03.png)"
    ]
   },
   {
@@ -427,14 +427,14 @@
  "metadata": {
   "environment": {
    "kernel": "python3",
-   "name": "common-cpu.m114",
+   "name": "common-cpu.m125",
    "type": "gcloud",
-   "uri": "gcr.io/deeplearning-platform-release/base-cpu:m114"
+   "uri": "us-docker.pkg.dev/deeplearning-platform-release/gcr.io/base-cpu:m125"
   },
   "kernelspec": {
-   "display_name": "Python (Local)",
+   "display_name": "Python 3 (Local)",
    "language": "python",
-   "name": "base"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -446,7 +446,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.10.15"
   }
  },
  "nbformat": 4,

notebooks/GenAI/GCP_Grounding.ipynb

@@ -125,7 +125,7 @@
     "tags": []
    },
    "source": [
-    "![grounding3](../../images/grounding_3.png)"
+    "![grounding3](../../images/Grounding_new01.png)"
    ]
   },
   {
@@ -175,15 +175,15 @@
    "id": "1df54267-b65c-44cd-a869-9723b7302771",
    "metadata": {},
    "source": [
-    "For this tutorial we'll select our data as unstructured but it also supports structured data in JSONL format and CSVs. Next choose your bucket and click **'CONTINUE'**."
+    "For this tutorial we'll select our data as unstructured but it also supports structured data in CSVs format. Next choose your bucket and click **'CONTINUE'**."
    ]
   },
   {
    "cell_type": "markdown",
    "id": "74e88355-7146-44a5-b30d-9907676dbb02",
    "metadata": {},
    "source": [
-    "![grounding6](../../images/grounding_6.png)"
+    "![grounding6](../../images/Grounding_new02.png)"
    ]
   },
   {
@@ -255,15 +255,15 @@
    "id": "369c112d-2376-43fa-9552-9498479be9fd",
    "metadata": {},
    "source": [
-    "On the console go to Vertex AI and head down to Vertex AI Studio where the playground is. Select the **Language** playground. Grounding works on Text Prompt and Text Chat but for this tutorial we will use **Text Chat**."
+    "On the console go to Vertex AI and head down to Vertex AI Studio where the playground is. Select the **Chat** playground. "
    ]
   },
   {
    "cell_type": "markdown",
    "id": "8c971978-4925-427c-900c-0e8a996c0c91",
    "metadata": {},
    "source": [
-    "![grounding11](../../images/grounding_11.png)"
+    "![grounding11](../../images/Grounding_new03.png)"
    ]
   },
   {