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google · Dec 13, 2023 · 33a1467 · 33a1467
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diff --git a/site/en/docs/semantic_retriever.ipynb b/site/en/docs/semantic_retriever.ipynb
diff --git a/site/en/examples/anomaly_detection.ipynb b/site/en/examples/anomaly_detection.ipynb
diff --git a/site/en/examples/chat_calculator.ipynb b/site/en/examples/chat_calculator.ipynb
@@ -66,15 +66,15 @@
       },
       "source": [
         "For some use cases, you may want to stop the generation from a model to insert specific results. For example, language models may have trouble with complicated arithmetic problems like word problems.\n",
-        "This tutorial shows an example of using an external tool with the `palm.chat` method to output the correct answer to a word problem.\n",
+        "This tutorial shows an example of using an external tool with the `genai.chat` method to output the correct answer to a word problem.\n",
         "\n",
         "This particular example uses the [`numexpr`](https://github.com/pydata/numexpr) tool to perform the arithmetic but you can use this same procedure to integrate other tools specific to your use case. The following is an outline of the steps:\n",
         "\n",
         "1. Determine a `start` and `end` tag to demarcate the text to send the tool.\n",
         "1. Create a prompt instructing the model how to use the tags in its response.\n",
         "1. From the model response, take the text between the `start` and `end` tags as input to the tool.\n",
         "1. Drop everything after the `end` tag.\n",
-        "1. Run the tool and add it's output as your reply.\n",
+        "1. Run the tool and add its output as your reply.\n",
         "1. The model will take into account the tools's output in its reply."
       ]
     },
@@ -84,17 +84,7 @@
       "metadata": {
         "id": "v8d0FtO2KJ3O"
       },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m122.2/122.2 kB\u001b[0m \u001b[31m2.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m113.3/113.3 kB\u001b[0m \u001b[31m5.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[?25h"
-          ]
-        }
-      ],
+      "outputs": [],
       "source": [
         "pip install -q google.generativeai"
       ]
@@ -122,7 +112,7 @@
         "\n",
         "@retry.Retry()\n",
         "def retry_chat(**kwargs):\n",
-        "  return palm.chat(**kwargs)\n",
+        "  return genai.chat(**kwargs)\n",
         "\n",
         "@retry.Retry()\n",
         "def retry_reply(self, arg):\n",
@@ -137,8 +127,8 @@
       },
       "outputs": [],
       "source": [
-        "import google.generativeai as palm\n",
-        "palm.configure(api_key=\"YOUR API KEY\")"
+        "import google.generativeai as genai\n",
+        "genai.configure(api_key=\"YOUR API KEY\")"
       ]
     },
     {
@@ -149,7 +139,7 @@
       },
       "outputs": [],
       "source": [
-        "models = [m for m in palm.list_models() if 'generateMessage' in m.supported_generation_methods]\n",
+        "models = [m for m in genai.list_models() if 'generateMessage' in m.supported_generation_methods]\n",
         "model = models[0].name\n",
         "print(model)"
       ]

diff --git a/site/en/examples/clustering_with_embeddings.ipynb b/site/en/examples/clustering_with_embeddings.ipynb
diff --git a/site/en/examples/doc_search_emb.ipynb b/site/en/examples/doc_search_emb.ipynb
diff --git a/site/en/examples/text_calculator.ipynb b/site/en/examples/text_calculator.ipynb
@@ -66,7 +66,7 @@
       },
       "source": [
         "For some use cases, you may want to stop the generation from a model to insert specific results. For example, language models may have trouble with complicated arithmetic problems like word problems.\n",
-        "This tutorial shows an example of using an external tool with the `palm.generate_text` method to output the correct answer to a word problem.\n",
+        "This tutorial shows an example of using an external tool with the `genai.generate_text` method to output the correct answer to a word problem.\n",
         "\n",
         "This particular example uses the [`numexpr`](https://github.com/pydata/numexpr) tool to perform the arithmetic but you can use this same procedure to integrate other tools specific to your use case. The following is an outline of the steps:\n",
         "\n",
@@ -93,17 +93,7 @@
       "metadata": {
         "id": "oq3EYtJYBXpG"
       },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m122.2/122.2 kB\u001b[0m \u001b[31m1.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m113.3/113.3 kB\u001b[0m \u001b[31m4.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[?25h"
-          ]
-        }
-      ],
+      "outputs": [],
       "source": [
         "!pip install -q google.generativeai"
       ]
@@ -116,14 +106,14 @@
       },
       "outputs": [],
       "source": [
-        "import google.generativeai as palm\n",
-        "palm.configure(api_key='YOUR API KEY')\n",
+        "import google.generativeai as genai\n",
+        "genai.configure(api_key='YOUR API KEY')\n",
         "\n",
         "from google.api_core import retry\n",
         "\n",
         "@retry.Retry()\n",
         "def generate_text(*args, **kwargs):\n",
-        "  return palm.generate_text(*args, **kwargs)\n"
+        "  return genai.generate_text(*args, **kwargs)\n"
       ]
     },
     {
@@ -142,7 +132,7 @@
         }
       ],
       "source": [
-        "models = [m for m in palm.list_models() if 'generateText' in m.supported_generation_methods]\n",
+        "models = [m for m in genai.list_models() if 'generateText' in m.supported_generation_methods]\n",
         "model = models[0].name\n",
         "print(model)"
       ]
@@ -194,7 +184,7 @@
         "\n",
         "{question}\n",
         "\n",
-        "Work throught it step by step, and show your work.\n",
+        "Work through it step by step, and show your work.\n",
         "One step per line.\n",
         "\n",
         "Your solution:\n",
@@ -317,7 +307,7 @@
         "\n",
         "-------------------\n",
         "\n",
-        "Work throught it step by step, and show your work.\n",
+        "Work through it step by step, and show your work.\n",
         "One step per line.\n",
         "\n",
         "Your solution:\n",