updated examples

ScaDS · Dec 8, 2023 · e4be16d · e4be16d
1 parent eeb7927
commit e4be16d
Show file tree

Hide file tree

Showing 11 changed files with 1,346 additions and 590 deletions.
diff --git a/.gitignore b/.gitignore
@@ -1,3 +1,4 @@
 _build
 .ipynb_checkpoints
 .idea
+01_prompts/vgsales.csv
diff --git a/01_prompts/01_prompting.ipynb b/01_prompts/01_prompting.ipynb
@@ -167,7 +167,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.18"
+   "version": "3.9.16"
   }
  },
  "nbformat": 4,

diff --git a/01_prompts/02-use-cases.ipynb b/01_prompts/02-use-cases.ipynb
@@ -0,0 +1,266 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "0532bcef-9980-4ab7-b8d0-c331a4949cbf",
+   "metadata": {},
+   "source": [
+    "# Use cases\n",
+    "In this notebook we collect a few use-cases and not so useful use-cases."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "9e2b9c11-0382-412e-a777-8609148757fd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from openai import OpenAI\n",
+    "from IPython.core.magic import register_line_cell_magic\n",
+    "from IPython.display import display, Markdown"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "ca746212-7688-4e08-8a5f-b5edca583386",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "@register_line_cell_magic\n",
+    "def prompt(line:str, cell:str, model=\"gpt-3.5-turbo\"):\n",
+    "    \"\"\"A prompt helper function that sends a message to openAI\n",
+    "    and prints out the text response.\n",
+    "    \"\"\"\n",
+    "    message = line + \"\\n\" + cell\n",
+    "    client = OpenAI()\n",
+    "    response = client.chat.completions.create(\n",
+    "        model=model,\n",
+    "        messages=[{\"role\": \"user\", \"content\": message}]\n",
+    "    )\n",
+    "    text = response.choices[0].message.content\n",
+    "    display(Markdown(text))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "6d86a1a5-a4c8-4d8d-b762-884882eb819a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "Was ist das Lieblingsweihnachtslied aller Eltern? Stille Nacht!"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%prompt\n",
+    "Translate the following joke to German:\n",
+    "\n",
+    "What is every parent's favorite Christmas song? Silent Night!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "f57c6027-c1f5-46fb-986a-abd5e083f3f0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "Number of students asked: 100\n",
+       "Cloud storage size: 250 GB"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%prompt\n",
+    "Given a story, please restructure the contained data.\n",
+    "\n",
+    "Story:\n",
+    "The compute center of the university recently conducted a study to figure \n",
+    "out needs of students for computational resources. After interviewing 100 \n",
+    "students they concluded that most of them were happy with 250 GB of cloud\n",
+    "storage.\n",
+    "\n",
+    "Restructure the story above to extract these numbers:\n",
+    "* Number of students asked:\n",
+    "* Cloud storage size:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "b6fc5028-a4b7-4ee4-b52b-757332775ee2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "Robert Haase from the University of Leipzig is a researcher in the field of Computer Vision and Image Analysis."
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%prompt\n",
+    "What's Robert Haase's (Uni Leipzig) research field ?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "63d62b2d-7482-4963-98bd-ddce6bc26541",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "Robert Haase from TU Dresden is a researcher in the field of computer science and medical image analysis."
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%prompt\n",
+    "What's Robert Haase's (TU Dresden) research field ?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "2b6752d1-4642-4da2-845d-1c50a6055bd7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "In total, we need 100 students * 250 GB/student = <<100*250=25000>>25,000 GB of cloud storage."
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%prompt\n",
+    "If there are 100 students who each require 250 GB of cloud storage, how much storage do we need in total ? "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "8e4958e9-3268-4a7f-94fc-a92ee13500c1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "You have a total of 5 apples, 6 oranges, which makes 11 fruits in total. However, potatoes are not considered as fruits, so the total number of fruits you have is 11."
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%prompt\n",
+    "I have 5 apples, 6 oranges and 4 potatoes. How many fruits to I have?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "70367746-455d-4d0e-94b6-5e9133089b32",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "There are 6 \"o\" letters in Woolloomooloo."
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%prompt\n",
+    "How many o are in Woolloomooloo ?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7e98bbe0-ed42-41a9-8230-97fff380f78a",
+   "metadata": {},
+   "source": [
+    "## Exercise\n",
+    "Come up with two more examples: One where chatGPT works reproducibly, and one where it reproducibly answers wrong information or denies answering."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5827d332-7c95-4a38-8cec-717ac8d6d9b0",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.16"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}