diff --git a/examples/gemini/python/langchain/Gemini_LangChain_QA_Chroma_WebLoad.ipynb b/examples/gemini/python/langchain/Gemini_LangChain_QA_Chroma_WebLoad.ipynb
index 6d2342a40..93d146b34 100644
--- a/examples/gemini/python/langchain/Gemini_LangChain_QA_Chroma_WebLoad.ipynb
+++ b/examples/gemini/python/langchain/Gemini_LangChain_QA_Chroma_WebLoad.ipynb
@@ -109,7 +109,7 @@
         }
       ],
       "source": [
-        "!pip install --quiet langchain"
+        "!pip install --quiet langchain langchain-community"
       ]
     },
     {
@@ -221,10 +221,10 @@
       ],
       "source": [
         "# Run this cell and paste the API key in the prompt\n",
-        "import os\n",
-        "import getpass\n",
+        "from google.colab import userdata\n",
+        "GOOGLE_API_KEY=userdata.get('GOOGLE_API_KEY')\n",
         "\n",
-        "os.environ['GOOGLE_API_KEY'] = getpass.getpass('Gemini API Key:')"
+        "genai.configure(api_key=GOOGLE_API_KEY)"
       ]
     },
     {
diff --git a/examples/gemini/python/langchain/Gemini_LangChain_QA_Pinecone_WebLoad.ipynb b/examples/gemini/python/langchain/Gemini_LangChain_QA_Pinecone_WebLoad.ipynb
index f7ba368e5..2bbcaacf9 100644
--- a/examples/gemini/python/langchain/Gemini_LangChain_QA_Pinecone_WebLoad.ipynb
+++ b/examples/gemini/python/langchain/Gemini_LangChain_QA_Pinecone_WebLoad.ipynb
@@ -110,7 +110,7 @@
         }
       ],
       "source": [
-        "!pip install --quiet langchain"
+        "!pip install --quiet langchain langchain-community"
       ]
     },
     {
@@ -153,7 +153,9 @@
           "name": "stdout",
           "output_type": "stream",
           "text": [
-            "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/211.0 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━\u001b[0m \u001b[32m194.6/211.0 kB\u001b[0m \u001b[31m5.7 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m211.0/211.0 kB\u001b[0m \u001b[31m4.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/211.0 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r",
+            "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━\u001b[0m \u001b[32m194.6/211.0 kB\u001b[0m \u001b[31m5.7 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m211.0/211.0 kB\u001b[0m \u001b[31m4.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
             "\u001b[?25h"
           ]
         }
@@ -182,7 +184,9 @@
           "name": "stdout",
           "output_type": "stream",
           "text": [
-            "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/201.4 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━\u001b[0m \u001b[32m194.6/201.4 kB\u001b[0m \u001b[31m5.7 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m201.4/201.4 kB\u001b[0m \u001b[31m4.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/201.4 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r",
+            "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━\u001b[0m \u001b[32m194.6/201.4 kB\u001b[0m \u001b[31m5.7 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m201.4/201.4 kB\u001b[0m \u001b[31m4.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
             "\u001b[?25h"
           ]
         }
@@ -222,10 +226,9 @@
       ],
       "source": [
         "# Run this cell and paste the API key in the prompt\n",
-        "import os\n",
-        "import getpass\n",
-        "\n",
-        "os.environ['GOOGLE_API_KEY'] = getpass.getpass('Gemini API Key:')"
+        "from google.colab import userdata\n",
+        "GOOGLE_API_KEY=userdata.get('GOOGLE_API_KEY')\n",
+        "genai.configure(api_key=GOOGLE_API_KEY)"
       ]
     },
     {
diff --git a/examples/gemini/python/langchain/Gemini_LangChain_Summarization_WebLoad.ipynb b/examples/gemini/python/langchain/Gemini_LangChain_Summarization_WebLoad.ipynb
index 3e789669e..344f031b2 100644
--- a/examples/gemini/python/langchain/Gemini_LangChain_Summarization_WebLoad.ipynb
+++ b/examples/gemini/python/langchain/Gemini_LangChain_Summarization_WebLoad.ipynb
@@ -107,7 +107,7 @@
         }
       ],
       "source": [
-        "!pip install --quiet langchain"
+        "!pip install --quiet langchain langchain-community"
       ]
     },
     {
@@ -168,10 +168,10 @@
       ],
       "source": [
         "# Run this cell and paste the API key in the prompt\n",
-        "import os\n",
-        "import getpass\n",
+        "from google.colab import userdata\n",
+        "GOOGLE_API_KEY=userdata.get('GOOGLE_API_KEY')\n",
         "\n",
-        "os.environ['GOOGLE_API_KEY'] = getpass.getpass('Gemini API Key:')"
+        "genai.configure(api_key=GOOGLE_API_KEY)"
       ]
     },
     {
diff --git a/examples/gemini/python/llamaindex/Gemini_LlamaIndex_QA_Chroma_WebPageReader.ipynb b/examples/gemini/python/llamaindex/Gemini_LlamaIndex_QA_Chroma_WebPageReader.ipynb
index be01899a2..bd539393e 100644
--- a/examples/gemini/python/llamaindex/Gemini_LlamaIndex_QA_Chroma_WebPageReader.ipynb
+++ b/examples/gemini/python/llamaindex/Gemini_LlamaIndex_QA_Chroma_WebPageReader.ipynb
@@ -97,7 +97,7 @@
       "outputs": [],
       "source": [
         "# This guide was tested with 0.10.17, but feel free to try newer versions.\n",
-        "!pip install -q llama-index==0.10.17"
+        "!pip install -q llama-index==0.10.17  llama-index-vector-stores-chroma"
       ]
     },
     {
@@ -194,27 +194,39 @@
         "In this tutorial, you will set the variable `gemini_api_key` to configure Gemini to use your API key."
       ]
     },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "d3316f4b3b5e"
+      },
+      "outputs": [],
+      "source": [
+        "import os"
+      ]
+    },
     {
       "cell_type": "code",
       "execution_count": null,
       "metadata": {
         "id": "Wp3pYcnh60vt"
       },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "Gemini API Key:··········\n"
-          ]
-        }
-      ],
+      "outputs": [],
       "source": [
         "# Run this cell and paste the API key in the prompt\n",
-        "import os\n",
-        "import getpass\n",
-        "\n",
-        "gemini_api_key = getpass.getpass('Gemini API Key:')"
+        "from google.colab import userdata\n",
+        "os.environ['GOOGLE_API_KEY'] = userdata.get('GOOGLE_API_KEY')"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "9f968d66b8cf"
+      },
+      "outputs": [],
+      "source": [
+        "gemini_api_key = os.environ['GOOGLE_API_KEY']"
       ]
     },
     {
diff --git a/examples/gemini/python/vectordb_with_chroma/vectordb_with_chroma.ipynb b/examples/gemini/python/vectordb_with_chroma/vectordb_with_chroma.ipynb
index 8883c82c2..7ceee9dfc 100644
--- a/examples/gemini/python/vectordb_with_chroma/vectordb_with_chroma.ipynb
+++ b/examples/gemini/python/vectordb_with_chroma/vectordb_with_chroma.ipynb
@@ -140,9 +140,6 @@
         "import google.generativeai as genai\n",
         "import google.ai.generativelanguage as glm\n",
         "\n",
-        "# Used to securely store your API key\n",
-        "from google.colab import userdata\n",
-        "\n",
         "from IPython.display import Markdown\n",
         "from chromadb import Documents, EmbeddingFunction, Embeddings"
       ]
@@ -175,7 +172,9 @@
       },
       "outputs": [],
       "source": [
+        "# Used to securely store your API key\n",
         "# Or use `os.getenv('API_KEY')` to fetch an environment variable.\n",
+        "from google.colab import userdata\n",
         "API_KEY=userdata.get('API_KEY')\n",
         "\n",
         "genai.configure(api_key=API_KEY)"
diff --git a/site/en/examples/chat_calculator.ipynb b/site/en/examples/chat_calculator.ipynb
index 7e154edd7..c1e0dc66e 100644
--- a/site/en/examples/chat_calculator.ipynb
+++ b/site/en/examples/chat_calculator.ipynb
@@ -127,8 +127,20 @@
       },
       "outputs": [],
       "source": [
-        "import google.generativeai as genai\n",
-        "genai.configure(api_key=\"YOUR API KEY\")"
+        "import google.generativeai as genai"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "75c7d4b67511"
+      },
+      "outputs": [],
+      "source": [
+        "from google.colab import userdata\n",
+        "GOOGLE_API_KEY=userdata.get('GOOGLE_API_KEY')\n",
+        "genai.configure(api_key=GOOGLE_API_KEY)"
       ]
     },
     {
@@ -139,9 +151,7 @@
       },
       "outputs": [],
       "source": [
-        "models = [m for m in genai.list_models() if 'generateMessage' in m.supported_generation_methods]\n",
-        "model = models[0].name\n",
-        "print(model)"
+        "model = 'models/chat-bison-001'"
       ]
     },
     {
diff --git a/site/en/examples/text_calculator.ipynb b/site/en/examples/text_calculator.ipynb
index 330efa5c0..b369a4893 100644
--- a/site/en/examples/text_calculator.ipynb
+++ b/site/en/examples/text_calculator.ipynb
@@ -107,7 +107,6 @@
       "outputs": [],
       "source": [
         "import google.generativeai as genai\n",
-        "genai.configure(api_key='YOUR API KEY')\n",
         "\n",
         "from google.api_core import retry\n",
         "\n",
@@ -116,6 +115,19 @@
         "  return genai.generate_text(*args, **kwargs)\n"
       ]
     },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "14c8b88a75ef"
+      },
+      "outputs": [],
+      "source": [
+        "from google.colab import userdata\n",
+        "GOOGLE_API_KEY=userdata.get('GOOGLE_API_KEY')\n",
+        "genai.configure(api_key=GOOGLE_API_KEY)"
+      ]
+    },
     {
       "cell_type": "code",
       "execution_count": 3,
@@ -132,9 +144,7 @@
         }
       ],
       "source": [
-        "models = [m for m in genai.list_models() if 'generateText' in m.supported_generation_methods]\n",
-        "model = models[0].name\n",
-        "print(model)"
+        "model = 'models/text-bison-001'"
       ]
     },
     {
diff --git a/site/en/gemini-api/docs/model-tuning/python.ipynb b/site/en/gemini-api/docs/model-tuning/python.ipynb
index 4c2b65ec1..43a23a37b 100644
--- a/site/en/gemini-api/docs/model-tuning/python.ipynb
+++ b/site/en/gemini-api/docs/model-tuning/python.ipynb
@@ -265,10 +265,7 @@
         }
       ],
       "source": [
-        "base_model = [\n",
-        "    m for m in genai.list_models()\n",
-        "    if \"createTunedModel\" in m.supported_generation_methods][0]\n",
-        "base_model"
+        "base_model = genai.get_model('models/gemini-1.0-pro-001')\n"
       ]
     },
     {
diff --git a/site/en/gemini-api/docs/model-tuning/rest.ipynb b/site/en/gemini-api/docs/model-tuning/rest.ipynb
index e66ce0f83..e6537b010 100644
--- a/site/en/gemini-api/docs/model-tuning/rest.ipynb
+++ b/site/en/gemini-api/docs/model-tuning/rest.ipynb
@@ -287,7 +287,9 @@
           "text": [
             "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
             "                                 Dload  Upload   Total   Spent    Left  Speed\n",
-            "\r  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0\r100  2280    0   296  100  1984    611   4098 --:--:-- --:--:-- --:--:--  4720\n"
+            "\r",
+            "  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0\r",
+            "100  2280    0   296  100  1984    611   4098 --:--:-- --:--:-- --:--:--  4720\n"
           ]
         }
       ],
@@ -437,7 +439,10 @@
           "text": [
             "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
             "                                 Dload  Upload   Total   Spent    Left  Speed\n",
-            "\r  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0\r  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0\r100  5921    0  5921    0     0  13164      0 --:--:-- --:--:-- --:--:-- 13157\n"
+            "\r",
+            "  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0\r",
+            "  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0\r",
+            "100  5921    0  5921    0     0  13164      0 --:--:-- --:--:-- --:--:-- 13157\n"
           ]
         }
       ],
diff --git a/site/en/gemini-api/tutorials/anomaly_detection.ipynb b/site/en/gemini-api/tutorials/anomaly_detection.ipynb
index 3efaa7cff..5611ab0e0 100644
--- a/site/en/gemini-api/tutorials/anomaly_detection.ipynb
+++ b/site/en/gemini-api/tutorials/anomaly_detection.ipynb
@@ -113,9 +113,6 @@
         "import google.generativeai as genai\n",
         "import google.ai.generativelanguage as glm\n",
         "\n",
-        "# Used to securely store your API key\n",
-        "from google.colab import userdata\n",
-        "\n",
         "from sklearn.datasets import fetch_20newsgroups\n",
         "from sklearn.manifold import TSNE"
       ]
@@ -148,6 +145,9 @@
       },
       "outputs": [],
       "source": [
+        "# Used to securely store your API key\n",
+        "from google.colab import userdata\n",
+        "\n",
         "# Or use `os.getenv('API_KEY')` to fetch an environment variable.\n",
         "API_KEY=userdata.get('API_KEY')\n",
         "\n",
diff --git a/site/en/gemini-api/tutorials/clustering_with_embeddings.ipynb b/site/en/gemini-api/tutorials/clustering_with_embeddings.ipynb
index 4df15b305..13a9460ed 100644
--- a/site/en/gemini-api/tutorials/clustering_with_embeddings.ipynb
+++ b/site/en/gemini-api/tutorials/clustering_with_embeddings.ipynb
@@ -114,9 +114,6 @@
         "import google.generativeai as genai\n",
         "import google.ai.generativelanguage as glm\n",
         "\n",
-        "# Used to securely store your API key\n",
-        "from google.colab import userdata\n",
-        "\n",
         "from sklearn.datasets import fetch_20newsgroups\n",
         "from sklearn.manifold import TSNE\n",
         "from sklearn.cluster import KMeans\n",
@@ -151,6 +148,9 @@
       },
       "outputs": [],
       "source": [
+        "# Used to securely store your API key\n",
+        "from google.colab import userdata\n",
+        "\n",
         "# Or use `os.getenv('API_KEY')` to fetch an environment variable.\n",
         "API_KEY=userdata.get('API_KEY')\n",
         "\n",
diff --git a/site/en/gemini-api/tutorials/document_search.ipynb b/site/en/gemini-api/tutorials/document_search.ipynb
index c24ef9d98..00f87e3e1 100644
--- a/site/en/gemini-api/tutorials/document_search.ipynb
+++ b/site/en/gemini-api/tutorials/document_search.ipynb
@@ -111,9 +111,6 @@
         "import google.generativeai as genai\n",
         "import google.ai.generativelanguage as glm\n",
         "\n",
-        "# Used to securely store your API key\n",
-        "from google.colab import userdata\n",
-        "\n",
         "from IPython.display import Markdown"
       ]
     },
@@ -145,6 +142,9 @@
       },
       "outputs": [],
       "source": [
+        "# Used to securely store your API key\n",
+        "from google.colab import userdata\n",
+        "\n",
         "# Or use `os.getenv('API_KEY')` to fetch an environment variable.\n",
         "API_KEY=userdata.get('API_KEY')\n",
         "\n",
diff --git a/site/en/gemini-api/tutorials/text_classifier_embeddings.ipynb b/site/en/gemini-api/tutorials/text_classifier_embeddings.ipynb
index d1bcedc5a..fbbe32522 100644
--- a/site/en/gemini-api/tutorials/text_classifier_embeddings.ipynb
+++ b/site/en/gemini-api/tutorials/text_classifier_embeddings.ipynb
@@ -113,9 +113,6 @@
         "import google.generativeai as genai\n",
         "import google.ai.generativelanguage as glm\n",
         "\n",
-        "# Used to securely store your API key\n",
-        "from google.colab import userdata\n",
-        "\n",
         "import seaborn as sns\n",
         "import matplotlib.pyplot as plt\n",
         "\n",
@@ -153,6 +150,8 @@
       },
       "outputs": [],
       "source": [
+        "# Used to securely store your API key\n",
+        "from google.colab import userdata\n",
         "# Or use `os.getenv('API_KEY')` to fetch an environment variable.\n",
         "API_KEY=userdata.get('API_KEY')\n",
         "\n",
@@ -1226,7 +1225,7 @@
         "embedding_size = len(df_train['Embeddings'].iloc[0])\n",
         "\n",
         "# Give your model a different name, as you have already used the variable name 'model'\n",
-        "classifier = build_classification_model(embedding_size, len(df_train['Class Name'].unique()))\n",
+        "classifier = build_classification_model([embedding_size], len(df_train['Class Name'].unique()))\n",
         "classifier.summary()\n",
         "\n",
         "classifier.compile(loss = keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n",
diff --git a/site/en/gemma/docs/paligemma/fine-tuning-paligemma.ipynb b/site/en/gemma/docs/paligemma/fine-tuning-paligemma.ipynb
index 98f6a00dd..174a27c14 100644
--- a/site/en/gemma/docs/paligemma/fine-tuning-paligemma.ipynb
+++ b/site/en/gemma/docs/paligemma/fine-tuning-paligemma.ipynb
@@ -13,6 +13,7 @@
       "cell_type": "code",
       "execution_count": null,
       "metadata": {
+        "cellView": "form",
         "id": "_fEE8rM9BUfS"
       },
       "outputs": [],
@@ -38,17 +39,17 @@
       "source": [
         "# Fine-tune PaliGemma with JAX\n",
         "\n",
-        "\u003ctable class=\"tfo-notebook-buttons\" align=\"left\"\u003e\n",
-        "\u003ctd\u003e\n",
-        "\u003ca target=\"_blank\" href=\"https://ai.google.dev/gemma/docs/paligemma/fine-tuning-paligemma\"\u003e\u003cimg src=\"https://ai.google.dev/static/site-assets/images/docs/notebook-site-button.png\" height=\"32\" width=\"32\" /\u003eView on ai.google.dev\u003c/a\u003e\n",
-        "\u003c/td\u003e\n",
-        "\u003ctd\u003e\n",
-        "\u003ca target=\"_blank\" href=\"https://colab.research.google.com/github/google/generative-ai-docs/blob/main/site/en/gemma/docs/paligemma/fine-tuning-paligemma.ipynb\"\u003e\u003cimg src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" /\u003eRun in Google Colab\u003c/a\u003e\n",
-        "\u003c/td\u003e\n",
-        "\u003ctd\u003e\n",
-        "\u003ca target=\"_blank\" href=\"https://github.com/google/generative-ai-docs/blob/main/site/en/gemma/docs/paligemma/fine-tuning-paligemma.ipynb\"\u003e\u003cimg src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" /\u003eView source on GitHub\u003c/a\u003e\n",
-        "\u003c/td\u003e\n",
-        "\u003c/table\u003e\n"
+        "<table class=\"tfo-notebook-buttons\" align=\"left\">\n",
+        "<td>\n",
+        "<a target=\"_blank\" href=\"https://ai.google.dev/gemma/docs/paligemma/fine-tuning-paligemma\"><img src=\"https://ai.google.dev/static/site-assets/images/docs/notebook-site-button.png\" height=\"32\" width=\"32\" />View on ai.google.dev</a>\n",
+        "</td>\n",
+        "<td>\n",
+        "<a target=\"_blank\" href=\"https://colab.research.google.com/github/google/generative-ai-docs/blob/main/site/en/gemma/docs/paligemma/fine-tuning-paligemma.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
+        "</td>\n",
+        "<td>\n",
+        "<a target=\"_blank\" href=\"https://github.com/google/generative-ai-docs/blob/main/site/en/gemma/docs/paligemma/fine-tuning-paligemma.ipynb\"><img src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" />View source on GitHub</a>\n",
+        "</td>\n",
+        "</table>\n"
       ]
     },
     {
@@ -117,8 +118,7 @@
         "\n",
         "To generate a Kaggle API key, open your [**Settings** page in Kaggle](https://www.kaggle.com/settings) and click **Create New Token**. This triggers the download of a `kaggle.json` file containing your API credentials.\n",
         "\n",
-        "Then, in Colab, select **Secrets** (🔑) in the left pane and add your Kaggle username and Kaggle API key. Store your username under the name `KAGGLE_USERNAME` and your API key under the name `KAGGLE_KEY`.\n",
-        "\n"
+        "Then, in Colab, select **Secrets** (🔑) in the left pane and add your Kaggle username and Kaggle API key. Store your username under the name `KAGGLE_USERNAME` and your API key under the name `KAGGLE_KEY`.\n"
       ]
     },
     {
@@ -482,7 +482,7 @@
         "\n",
         "  image = tf.constant(image)\n",
         "  image = tf.image.resize(image, (size, size), method='bilinear', antialias=True)\n",
-        "  return image.numpy() / 127.5 - 1.0  # [0, 255]-\u003e[-1,1]\n",
+        "  return image.numpy() / 127.5 - 1.0  # [0, 255]->[-1,1]\n",
         "\n",
         "def preprocess_tokens(prefix, suffix=None, seqlen=None):\n",
         "  # Model has been trained to handle tokenized text composed of a prefix with\n",
@@ -622,12 +622,12 @@
         "    return f\"data:image/jpeg;base64,{image_b64}\"\n",
         "\n",
         "def render_example(image, caption):\n",
-        "  image = ((image + 1)/2 * 255).astype(np.uint8)  # [-1,1] -\u003e [0, 255]\n",
+        "  image = ((image + 1)/2 * 255).astype(np.uint8)  # [-1,1] -> [0, 255]\n",
         "  return f\"\"\"\n",
-        "    \u003cdiv style=\"display: inline-flex; align-items: center; justify-content: center;\"\u003e\n",
-        "        \u003cimg style=\"width:128px; height:128px;\" src=\"{render_inline(image, resize=(64,64))}\" /\u003e\n",
-        "        \u003cp style=\"width:256px; margin:10px; font-size:small;\"\u003e{html.escape(caption)}\u003c/p\u003e\n",
-        "    \u003c/div\u003e\n",
+        "    <div style=\"display: inline-flex; align-items: center; justify-content: center;\">\n",
+        "        <img style=\"width:128px; height:128px;\" src=\"{render_inline(image, resize=(64,64))}\" />\n",
+        "        <p style=\"width:256px; margin:10px; font-size:small;\">{html.escape(caption)}</p>\n",
+        "    </div>\n",
         "    \"\"\"\n",
         "\n",
         "html_out = \"\"\n",
@@ -744,7 +744,7 @@
         "    # Append to html output.\n",
         "    for example, response in zip(examples, responses):\n",
         "      outputs.append((example[\"image\"], response))\n",
-        "      if num_examples and len(outputs) \u003e= num_examples:\n",
+        "      if num_examples and len(outputs) >= num_examples:\n",
         "        return outputs"
       ]
     },
@@ -852,34 +852,12 @@
   ],
   "metadata": {
     "colab": {
-      "gpuType": "T4",
-      "last_runtime": {
-        "build_target": "//learning/grp/tools/ml_python:ml_notebook",
-        "kind": "private"
-      },
-      "private_outputs": true,
-      "provenance": [
-        {
-          "file_id": "17AiK8gRY7oiquQGkBH0d08PFQo3Kyx1I",
-          "timestamp": 1715287187925
-        },
-        {
-          "file_id": "1qZlJfPyfKRrNcz2shxQ93HnnE5Ge1LLn",
-          "timestamp": 1715019972450
-        },
-        {
-          "file_id": "1JFnlD2kSiTNexdPw_NYRtuW6uuSTI0kD",
-          "timestamp": 1714585741026
-        }
-      ],
+      "name": "fine-tuning-paligemma.ipynb",
       "toc_visible": true
     },
     "kernelspec": {
       "display_name": "Python 3",
       "name": "python3"
-    },
-    "language_info": {
-      "name": "python"
     }
   },
   "nbformat": 4,
diff --git a/site/en/tutorials/quickstart_colab.ipynb b/site/en/tutorials/quickstart_colab.ipynb
index 41653c382..83d5671e7 100644
--- a/site/en/tutorials/quickstart_colab.ipynb
+++ b/site/en/tutorials/quickstart_colab.ipynb
@@ -103,7 +103,11 @@
           "name": "stdout",
           "output_type": "stream",
           "text": [
-            "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/137.4 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K     \u001b[91m━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m10.2/137.4 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K     \u001b[91m━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m41.0/137.4 kB\u001b[0m \u001b[31m498.4 kB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━\u001b[0m \u001b[32m133.1/137.4 kB\u001b[0m \u001b[31m1.3 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m137.4/137.4 kB\u001b[0m \u001b[31m1.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/137.4 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r",
+            "\u001b[2K     \u001b[91m━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m10.2/137.4 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r",
+            "\u001b[2K     \u001b[91m━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m41.0/137.4 kB\u001b[0m \u001b[31m498.4 kB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
+            "\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━\u001b[0m \u001b[32m133.1/137.4 kB\u001b[0m \u001b[31m1.3 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m137.4/137.4 kB\u001b[0m \u001b[31m1.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
             "\u001b[?25h"
           ]
         }
@@ -127,6 +131,18 @@
         "In Colab, add the key to the secrets manager under the \"🔑\" in the left panel. Give it the name `GOOGLE_API_KEY`. Then pass the key to the SDK:"
       ]
     },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "947b3206acba"
+      },
+      "outputs": [],
+      "source": [
+        "# Import the Python SDK\n",
+        "import google.generativeai as genai"
+      ]
+    },
     {
       "cell_type": "code",
       "execution_count": 3,
@@ -135,8 +151,6 @@
       },
       "outputs": [],
       "source": [
-        "# Import the Python SDK\n",
-        "import google.generativeai as genai\n",
         "# Used to securely store your API key\n",
         "from google.colab import userdata\n",
         "\n",