more notes

guides/prompt-miscellaneous.md

@@ -4,12 +4,16 @@ In this section, we discuss other miscellaneous but important topics in prompt e
 
 **Note that this section is under construction.**
 
+## Program-Aided Language Models
+[Gao et al., (2023)](https://arxiv.org/abs/2211.10435) presents a method that uses LLMs to read natural language problems and generate programs as the intermediate reasoning steps. Coined, program-aided language models (PAL), it differs from chain-of-thought prompting in that instead of using free-form text to obtain solution it offloads the solution step to a programmatic runtime such as a Python interpreter.
+
+Full example coming soon!
 
 ---
 ## Multimodal Prompting
 In this section, we will cover some examples of multimodal prompting techniques and applications that leverage multiple modalities as opposed to just text alone.
 
-More coming soon!
+Examples coming soon!
 
 ---
 ## GraphPrompts

notebooks/pe-lecture.ipynb

@@ -46,7 +46,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -55,7 +55,7 @@
        "True"
       ]
      },
-     "execution_count": 1,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -64,6 +64,7 @@
     "import openai\n",
     "import os\n",
     "import IPython\n",
+    "from langchain.llms import OpenAI\n",
     "from dotenv import load_dotenv\n",
     "load_dotenv()"
    ]
@@ -541,7 +542,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "minprompts",
+   "display_name": "promptlecture",
    "language": "python",
    "name": "python3"
   },
@@ -555,12 +556,12 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.15"
+   "version": "3.9.16"
   },
   "orig_nbformat": 4,
   "vscode": {
    "interpreter": {
-    "hash": "872fbaa170678d9803e866eb8aab13838cd416716b835df572a04d4d73e81a04"
+    "hash": "f38e0373277d6f71ee44ee8fea5f1d408ad6999fda15d538a69a99a1665a839d"
    }
   }
  },