prompt_evaluation.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Found cached dataset squad (C:/Users/AntonioVelasco/.cache/huggingface/datasets/squad/plain_text/1.0.0/d6ec3ceb99ca480ce37cdd35555d6cb2511d223b9150cce08a837ef62ffea453)\n",
      "100%|██████████| 2/2 [00:00<00:00, 92.72it/s]\n"
     ]
    }
   ],
   "source": [
    "from datasets import load_dataset\n",
    "\n",
    "dataset = load_dataset(\"squad\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatasetDict({\n",
       "    train: Dataset({\n",
       "        features: ['id', 'title', 'context', 'question', 'answers'],\n",
       "        num_rows: 87599\n",
       "    })\n",
       "    validation: Dataset({\n",
       "        features: ['id', 'title', 'context', 'question', 'answers'],\n",
       "        num_rows: 10570\n",
       "    })\n",
       "})"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df = pd.DataFrame(dataset['train'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>title</th>\n",
       "      <th>context</th>\n",
       "      <th>question</th>\n",
       "      <th>answers</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5733be284776f41900661182</td>\n",
       "      <td>University_of_Notre_Dame</td>\n",
       "      <td>Architecturally, the school has a Catholic cha...</td>\n",
       "      <td>To whom did the Virgin Mary allegedly appear i...</td>\n",
       "      <td>{'text': ['Saint Bernadette Soubirous'], 'answ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5733be284776f4190066117f</td>\n",
       "      <td>University_of_Notre_Dame</td>\n",
       "      <td>Architecturally, the school has a Catholic cha...</td>\n",
       "      <td>What is in front of the Notre Dame Main Building?</td>\n",
       "      <td>{'text': ['a copper statue of Christ'], 'answe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5733be284776f41900661180</td>\n",
       "      <td>University_of_Notre_Dame</td>\n",
       "      <td>Architecturally, the school has a Catholic cha...</td>\n",
       "      <td>The Basilica of the Sacred heart at Notre Dame...</td>\n",
       "      <td>{'text': ['the Main Building'], 'answer_start'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5733be284776f41900661181</td>\n",
       "      <td>University_of_Notre_Dame</td>\n",
       "      <td>Architecturally, the school has a Catholic cha...</td>\n",
       "      <td>What is the Grotto at Notre Dame?</td>\n",
       "      <td>{'text': ['a Marian place of prayer and reflec...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5733be284776f4190066117e</td>\n",
       "      <td>University_of_Notre_Dame</td>\n",
       "      <td>Architecturally, the school has a Catholic cha...</td>\n",
       "      <td>What sits on top of the Main Building at Notre...</td>\n",
       "      <td>{'text': ['a golden statue of the Virgin Mary'...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         id                     title  \\\n",
       "0  5733be284776f41900661182  University_of_Notre_Dame   \n",
       "1  5733be284776f4190066117f  University_of_Notre_Dame   \n",
       "2  5733be284776f41900661180  University_of_Notre_Dame   \n",
       "3  5733be284776f41900661181  University_of_Notre_Dame   \n",
       "4  5733be284776f4190066117e  University_of_Notre_Dame   \n",
       "\n",
       "                                             context  \\\n",
       "0  Architecturally, the school has a Catholic cha...   \n",
       "1  Architecturally, the school has a Catholic cha...   \n",
       "2  Architecturally, the school has a Catholic cha...   \n",
       "3  Architecturally, the school has a Catholic cha...   \n",
       "4  Architecturally, the school has a Catholic cha...   \n",
       "\n",
       "                                            question  \\\n",
       "0  To whom did the Virgin Mary allegedly appear i...   \n",
       "1  What is in front of the Notre Dame Main Building?   \n",
       "2  The Basilica of the Sacred heart at Notre Dame...   \n",
       "3                  What is the Grotto at Notre Dame?   \n",
       "4  What sits on top of the Main Building at Notre...   \n",
       "\n",
       "                                             answers  \n",
       "0  {'text': ['Saint Bernadette Soubirous'], 'answ...  \n",
       "1  {'text': ['a copper statue of Christ'], 'answe...  \n",
       "2  {'text': ['the Main Building'], 'answer_start'...  \n",
       "3  {'text': ['a Marian place of prayer and reflec...  \n",
       "4  {'text': ['a golden statue of the Virgin Mary'...  "
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's make a single call as a test."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import os\n",
    "import openai\n",
    "\n",
    "with open('../.vscode/settings.json') as f:\n",
    "    data = json.load(f)\n",
    "\n",
    "os.environ['API_KEY'] = data['API_KEY']\n",
    "openai.api_key = os.environ['API_KEY']\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Given the context:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Architecturally, the school has a Catholic character. Atop the Main Building\\'s gold dome is a golden statue of the Virgin Mary. Immediately in front of the Main Building and facing it, is a copper statue of Christ with arms upraised with the legend \"Venite Ad Me Omnes\". Next to the Main Building is the Basilica of the Sacred Heart. Immediately behind the basilica is the Grotto, a Marian place of prayer and reflection. It is a replica of the grotto at Lourdes, France where the Virgin Mary reputedly appeared to Saint Bernadette Soubirous in 1858. At the end of the main drive (and in a direct line that connects through 3 statues and the Gold Dome), is a simple, modern stone statue of Mary.'"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "context = df.iloc[0,2]\n",
    "context"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "and the query:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'To whom did the Virgin Mary allegedly appear in 1858 in Lourdes France?'"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query = df.iloc[0,3]\n",
    "query"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'The Virgin Mary allegedly appeared to Saint Bernadette Soubirous in 1858 in Lourdes, France.'"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "response = openai.ChatCompletion.create(\n",
    "    model=\"gpt-3.5-turbo\",\n",
    "    messages=[\n",
    "      {\"role\": \"system\", \"content\": context},\n",
    "      {\"role\": \"user\", \"content\": query},\n",
    "    ]\n",
    "  )\n",
    "\n",
    "answer = response.get(\"choices\")[0][\"message\"][\"content\"]\n",
    "answer"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Which is technically correct but too verbose if we compare it with the desired output: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Saint Bernadette Soubirous']"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exact_answer = df.iloc[0,4]['text']\n",
    "exact_answer"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Tests types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "from difflib import SequenceMatcher\n",
    "from promptimize import evals\n",
    "\n",
    "def sequence_matcher(a, b):\n",
    "    return SequenceMatcher(None, a, b).ratio()\n",
    "\n",
    "def jaccard_similarity(a, b):\n",
    "    intersection = len(set(a).intersection(set(b)))\n",
    "    union = len(set(a).union(set(b)))\n",
    "    return intersection / union"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'The Virgin Mary allegedly appeared to Saint Bernadette Soubirous in 1858 in Lourdes, France.'"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "answer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Saint Bernadette Soubirous']"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exact_answer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.4406779661016949"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sequence_matcher(answer,exact_answer[0])"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "SequenceMatcher is a class in the difflib module of Python that provides a way to compare pairs of sequences of any type, as long as the sequence elements are hashable.\n",
    "\n",
    "The idea is to find the longest contiguous matching subsequence that contains no “junk” elements (these “junk” elements are ones that are uninteresting in some sense, such as blank lines or whitespace). The same idea is then applied recursively to the pieces of the sequences to the left and to the right of the matching subsequence."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.4666666666666667"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jaccard_similarity(answer,exact_answer[0])"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The Jaccard similarity coefficient, also known as the Jaccard index, is a statistic used for gauging the similarity and diversity of sample sets. It measures similarity between finite sample sets, and is defined as the size of the intersection divided by the size of the union of the sample sets. In other words, it is calculated as:\n",
    "\n",
    "```\n",
    "Jaccard Similarity = (number of observations in both sets) / (number in either set) or J(A, B) = |A∩B| / |A∪B|\n",
    "```\n",
    "\n",
    "The Jaccard similarity ranges from 0 to 1. The closer to 1, the more similar the two sets of data are. If two datasets share the exact same members, their Jaccard Similarity Index will be 1. Conversely, if they have no members in common then their similarity will be 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "evals.percentage_of_words(answer,exact_answer[0])"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This one is way simpler, percentage of desired answer words present in the model output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "evals.any_word(answer, [\"Saint Bernadette\", \"Saint Bernadette Soubirous\", \"Bernadette Soubirous\"])"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Wether any of the words in the list is present on the LLM output. "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Let's create a proper test environment"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "let's select some random entries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>title</th>\n",
       "      <th>context</th>\n",
       "      <th>question</th>\n",
       "      <th>answers</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9983</th>\n",
       "      <td>56de4d9ecffd8e1900b4b7e2</td>\n",
       "      <td>Institute_of_technology</td>\n",
       "      <td>The world's first institution of technology or...</td>\n",
       "      <td>What year was the Banská Akadémia founded?</td>\n",
       "      <td>1735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43267</th>\n",
       "      <td>572674a05951b619008f7319</td>\n",
       "      <td>Film_speed</td>\n",
       "      <td>The standard specifies how speed ratings shoul...</td>\n",
       "      <td>What is another speed that can also be reporte...</td>\n",
       "      <td>SOS-based speed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81021</th>\n",
       "      <td>5730bb058ab72b1400f9c72c</td>\n",
       "      <td>Sumer</td>\n",
       "      <td>The most impressive and famous of Sumerian bui...</td>\n",
       "      <td>Where were the use of advanced materials and t...</td>\n",
       "      <td>Sumerian temples and palaces</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             id                    title  \\\n",
       "9983   56de4d9ecffd8e1900b4b7e2  Institute_of_technology   \n",
       "43267  572674a05951b619008f7319               Film_speed   \n",
       "81021  5730bb058ab72b1400f9c72c                    Sumer   \n",
       "\n",
       "                                                 context  \\\n",
       "9983   The world's first institution of technology or...   \n",
       "43267  The standard specifies how speed ratings shoul...   \n",
       "81021  The most impressive and famous of Sumerian bui...   \n",
       "\n",
       "                                                question  \\\n",
       "9983          What year was the Banská Akadémia founded?   \n",
       "43267  What is another speed that can also be reporte...   \n",
       "81021  Where were the use of advanced materials and t...   \n",
       "\n",
       "                            answers  \n",
       "9983                           1735  \n",
       "43267               SOS-based speed  \n",
       "81021  Sumerian temples and palaces  "
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "# set the seed for reproducibility\n",
    "np.random.seed(42)\n",
    "\n",
    "# randomly select 20 rows from the dataframe\n",
    "corpus = df.sample(n=20)\n",
    "\n",
    "# we are not interested in the placement of the answer, so making it the straight entry\n",
    "corpus['answers'] = corpus['answers'].apply(lambda x: x['text'][0])\n",
    "\n",
    "corpus.head(3)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Performance study\n",
    "\n",
    "From 20 labeled documents the text will be extracted, processed by the model and meassured by 3 metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "VERSION = \"ver001\"\n",
    "\n",
    "corpus[f'{VERSION}_llm_answer'] = corpus.apply(lambda row:\n",
    "    openai.ChatCompletion.create(\n",
    "        model=\"gpt-3.5-turbo\",\n",
    "        messages=[\n",
    "        {\"role\": \"system\", \"content\": row['context']},\n",
    "        {\"role\": \"user\", \"content\": row ['question']},\n",
    "        ]\n",
    "    ).get(\"choices\")[0][\"message\"][\"content\"],\n",
    "    axis = 1\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
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       "      <th>id</th>\n",
       "      <th>title</th>\n",
       "      <th>context</th>\n",
       "      <th>question</th>\n",
       "      <th>answers</th>\n",
       "      <th>ver001_llm_answer</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9983</th>\n",
       "      <td>56de4d9ecffd8e1900b4b7e2</td>\n",
       "      <td>Institute_of_technology</td>\n",
       "      <td>The world's first institution of technology or...</td>\n",
       "      <td>What year was the Banská Akadémia founded?</td>\n",
       "      <td>1735</td>\n",
       "      <td>The Banská Akadémia was founded in 1735.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43267</th>\n",
       "      <td>572674a05951b619008f7319</td>\n",
       "      <td>Film_speed</td>\n",
       "      <td>The standard specifies how speed ratings shoul...</td>\n",
       "      <td>What is another speed that can also be reporte...</td>\n",
       "      <td>SOS-based speed</td>\n",
       "      <td>Another speed that can be reported by the came...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81021</th>\n",
       "      <td>5730bb058ab72b1400f9c72c</td>\n",
       "      <td>Sumer</td>\n",
       "      <td>The most impressive and famous of Sumerian bui...</td>\n",
       "      <td>Where were the use of advanced materials and t...</td>\n",
       "      <td>Sumerian temples and palaces</td>\n",
       "      <td>The use of advanced materials and techniques i...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             id                    title  \\\n",
       "9983   56de4d9ecffd8e1900b4b7e2  Institute_of_technology   \n",
       "43267  572674a05951b619008f7319               Film_speed   \n",
       "81021  5730bb058ab72b1400f9c72c                    Sumer   \n",
       "\n",
       "                                                 context  \\\n",
       "9983   The world's first institution of technology or...   \n",
       "43267  The standard specifies how speed ratings shoul...   \n",
       "81021  The most impressive and famous of Sumerian bui...   \n",
       "\n",
       "                                                question  \\\n",
       "9983          What year was the Banská Akadémia founded?   \n",
       "43267  What is another speed that can also be reporte...   \n",
       "81021  Where were the use of advanced materials and t...   \n",
       "\n",
       "                            answers  \\\n",
       "9983                           1735   \n",
       "43267               SOS-based speed   \n",
       "81021  Sumerian temples and palaces   \n",
       "\n",
       "                                       ver001_llm_answer  \n",
       "9983            The Banská Akadémia was founded in 1735.  \n",
       "43267  Another speed that can be reported by the came...  \n",
       "81021  The use of advanced materials and techniques i...  "
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corpus.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "corpus[f\"{VERSION}_words_perc\"] = corpus.apply(lambda row: evals.percentage_of_words(row[f'{VERSION}_llm_answer'], row['answers']), axis=1)\n",
    "corpus[f\"{VERSION}_jaccard_sim\"] = corpus.apply(lambda row: jaccard_similarity(row[f'{VERSION}_llm_answer'], row['answers']), axis=1)\n",
    "corpus[f\"{VERSION}_sequence\"] = corpus.apply(lambda row: sequence_matcher(row[f'{VERSION}_llm_answer'], row['answers']), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "transposed_corpus = corpus.iloc[:, -3:].T\n",
    "plt.figure(figsize=(14, 3))\n",
    "sns.heatmap(transposed_corpus, cmap='RdYlGn', vmin=0, vmax=1, annot=True)\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we have seen before, the model excels at indentifying the correct answer but its way too verbose. Percentage of desired words is highg but similarity of the strings is low overall."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Version 002"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This new version has a better system prompt and defined hyperparameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "VERSION = \"ver002\"\n",
    "\n",
    "config = {\n",
    "    \"temperature\": 0,\n",
    "    \"max_tokens\": 16,\n",
    "    \"top_p\": 1,\n",
    "}\n",
    "\n",
    "corpus_v2 = corpus.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "corpus_v2[f'{VERSION}_llm_answer'] = corpus_v2.apply(lambda row:\n",
    "  openai.ChatCompletion.create(\n",
    "      model=\"gpt-3.5-turbo\",\n",
    "      messages=[\n",
    "      {\"role\": \"system\", \"content\": \n",
    "        f\"\"\"\n",
    "        You are an API given the following context: /n\n",
    "        ###\n",
    "        {row['context']}\n",
    "        ###\n",
    "        Will reply as concisely as possible to the user question.\n",
    "        \"\"\"\n",
    "      },\n",
    "      {\"role\": \"user\", \"content\": row ['question']},\n",
    "      ],\n",
    "    temperature=config[\"temperature\"],\n",
    "    max_tokens=config[\"max_tokens\"],\n",
    "    top_p=config[\"top_p\"],\n",
    "  ).get(\"choices\")[0][\"message\"][\"content\"],\n",
    "  axis = 1\n",
    "  )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "corpus_v2[f\"{VERSION}_words_perc\"] = corpus_v2.apply(lambda row: evals.percentage_of_words(row[f'{VERSION}_llm_answer'], row['answers']), axis=1)\n",
    "corpus_v2[f\"{VERSION}_jaccard_sim\"] = corpus_v2.apply(lambda row: jaccard_similarity(row[f'{VERSION}_llm_answer'], row['answers']), axis=1)\n",
    "corpus_v2[f\"{VERSION}_sequence\"] = corpus_v2.apply(lambda row: sequence_matcher(row[f'{VERSION}_llm_answer'], row['answers']), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "transposed_corpus_v2 = corpus_v2.iloc[:, -3:].T\n",
    "plt.figure(figsize=(14, 3))\n",
    "sns.heatmap(transposed_corpus_v2, cmap='RdYlGn', vmin=0, vmax=1, annot=True)\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Quite poor still, and with even a drop in performance in some of the examples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "To the question: When did Houston begin to regain its dependence on the oil industry?\n",
      "with the desired answer: 2000s\n",
      "Version 1 answered: Houston began to regain its dependence on the oil industry in the 2000s, specifically after the increase in oil prices during that time.\n",
      "Version 2 answered: Houston began to regain its dependence on the oil industry since the increase of oil prices\n"
     ]
    }
   ],
   "source": [
    "print(f'To the question: {corpus_v2.iloc[-3][\"question\"]}')\n",
    "print(f'with the desired answer: {corpus_v2.iloc[-3][\"answers\"]}')\n",
    "print(f'Version 1 answered: {corpus_v2.iloc[-3][\"ver001_llm_answer\"]}')\n",
    "print(f'Version 2 answered: {corpus_v2.iloc[-3][\"ver002_llm_answer\"]}')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hardly any improvement, let's see"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Select columns with ver001 and ver002\n",
    "ver001_cols = corpus.columns[-3:]\n",
    "ver002_cols = corpus_v2.columns[-3:]\n",
    "\n",
    "# Calculate the difference between ver001 and ver002 columns\n",
    "diff_df = corpus_v2[ver002_cols].values - corpus_v2[ver001_cols].values\n",
    "\n",
    "# Create a new DataFrame with the differences\n",
    "diff_df = pd.DataFrame(diff_df, columns=ver002_cols)\n",
    "\n",
    "# Plot the heatmap\n",
    "plt.figure(figsize=(14, 3))\n",
    "sns.heatmap(diff_df.T, cmap='RdYlGn', vmin=-1, vmax=1, annot=True)\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "let's try to refine our prompt"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Version 3\n",
    "Same model and parameters but with a reworded last sentence in the prompt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "VERSION = \"ver003\"\n",
    "\n",
    "config = {\n",
    "    \"temperature\": 0,\n",
    "    \"max_tokens\": 16,\n",
    "    \"top_p\": 1,\n",
    "}\n",
    "\n",
    "corpus_v3 = corpus.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "corpus_v3[f'{VERSION}_llm_answer'] = corpus_v3.apply(lambda row:\n",
    "  openai.ChatCompletion.create(\n",
    "      model=\"gpt-3.5-turbo\",\n",
    "      messages=[\n",
    "      {\"role\": \"system\", \"content\": \n",
    "        f\"\"\"\n",
    "        You are an API given the following context: /n\n",
    "        ###\n",
    "        {row['context']}\n",
    "        ###\n",
    "        Will reply concisely, using as few words as possible, to the user question.\n",
    "        \"\"\"\n",
    "      },\n",
    "      {\"role\": \"user\", \"content\": row ['question']},\n",
    "      ],\n",
    "    temperature=config[\"temperature\"],\n",
    "    max_tokens=config[\"max_tokens\"],\n",
    "    top_p=config[\"top_p\"],\n",
    "  ).get(\"choices\")[0][\"message\"][\"content\"],\n",
    "  axis = 1\n",
    "  )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "corpus_v3[f\"{VERSION}_words_perc\"] = corpus_v3.apply(lambda row: evals.percentage_of_words(row[f'{VERSION}_llm_answer'], row['answers']), axis=1)\n",
    "corpus_v3[f\"{VERSION}_jaccard_sim\"] = corpus_v3.apply(lambda row: jaccard_similarity(row[f'{VERSION}_llm_answer'], row['answers']), axis=1)\n",
    "corpus_v3[f\"{VERSION}_sequence\"] = corpus_v3.apply(lambda row: sequence_matcher(row[f'{VERSION}_llm_answer'], row['answers']), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "transposed_corpus_v3 = corpus_v3.iloc[:, -3:].T\n",
    "plt.figure(figsize=(14, 3))\n",
    "sns.heatmap(transposed_corpus_v3, cmap='RdYlGn', vmin=0, vmax=1, annot=True)\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Select columns with ver001 and ver002\n",
    "ver001_cols = corpus.columns[-3:]\n",
    "ver003_cols = corpus_v3.columns[-3:]\n",
    "\n",
    "# Calculate the difference between ver001 and ver002 columns\n",
    "diff_df = corpus_v3[ver003_cols].values - corpus_v3[ver001_cols].values\n",
    "\n",
    "# Create a new DataFrame with the differences\n",
    "diff_df = pd.DataFrame(diff_df, columns=ver003_cols)\n",
    "\n",
    "# Plot the heatmap\n",
    "plt.figure(figsize=(14, 3))\n",
    "sns.heatmap(diff_df.T, cmap='RdYlGn', vmin=-1, vmax=1, annot=True)\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "To the question: What year was the Banská Akadémia founded?\n",
      "with the desired answer: 1735\n",
      "Version 1 answered: The Banská Akadémia in Banská Štiavnica, Slovakia was founded in 1735.\n",
      "Version 3 answered: 1735\n"
     ]
    }
   ],
   "source": [
    "print(f'To the question: {corpus_v3.iloc[0][\"question\"]}')\n",
    "print(f'with the desired answer: {corpus_v3.iloc[0][\"answers\"]}')\n",
    "print(f'Version 1 answered: {corpus_v3.iloc[0][\"ver001_llm_answer\"]}')\n",
    "print(f'Version 3 answered: {corpus_v3.iloc[0][\"ver003_llm_answer\"]}')"
   ]
  }
 ],
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