[no ci] minor edits

examples/text/generative_ai_example.ipynb

@@ -18,7 +18,11 @@
     "\n",
     "*ktrain* supports a Generative AI module that is currently based on an instruction-fine-tuned version of GPT-J trained on NLP Cloud. Think of it as a lightweight version of ChatGPT that can be run locally on your own machine. As a smaller model, it will not perform as well as GPT-4, ChatGPT, etc.  However, since it does not communicate with external APIs like OpenAI, it can be used with non-public data.\n",
     "\n",
-    "The model requires a GPU with at least 16GB of GPU memory or VRAM.  If you have less than this (or no GPU at all), you can use a CPU (provided you have enough RAM), but output will be generated more slowly (depending on the number of CPU cores).  We will use a CPU in this example, but you should either omit the `device` parameter or explicitly supply `device=cuda` if you have a GPU with at least 16GB of GPU memory."
+    "The model requires a GPU with at least 16GB of GPU memory or VRAM.  If you have less than this (or no GPU at all), you can use a CPU (provided you have enough RAM) by supplying `device=\"cpu\"` as an argument:\n",
+    "```python\n",
+    "model = GenerativeAI(device='cpu')\n",
+    "```\n",
+    "In this notebook, we omit the `device` argument, in which case a GPU will be used if available (and a CPU will be used if not)."
    ]
   },
   {
@@ -28,7 +32,7 @@
    "outputs": [],
    "source": [
     "from ktrain.text.generative_ai import GenerativeAI\n",
-    "model = GenerativeAI(device='cpu') # omit device argument or use device='cuda' if you have a good GPU!"
+    "model = GenerativeAI()"
    ]
   },
   {