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AI-For-Beginners
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Pikachú 2023-06-05 15:46:52 +03:00 committed by GitHub
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2
lessons/1-Intro/README.md
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@ -133,7 +133,7 @@ Year | Human Parity achieved
2018 | [Automatic Machine Translation](https://arxiv.org/abs/1803.05567) (Chinese-to-English)
2020 | [Image Captioning](https://arxiv.org/abs/2009.13682)
Over the past few years we have witnessed huge successes with large language models, such as BERT and GPT-3. This happen happened mostly due to the fact that there is a lot of general text data available that allows us to train models to capture the structure and meaning of texts, pre-train them on general text collections, and then specialize those models for more specific tasks. We will learn more about [Natural Language Processing](../5-NLP/README.md) later in this course.
Over the past few years we have witnessed huge successes with large language models, such as BERT and GPT-3. This happened mostly due to the fact that there is a lot of general text data available that allows us to train models to capture the structure and meaning of texts, pre-train them on general text collections, and then specialize those models for more specific tasks. We will learn more about [Natural Language Processing](../5-NLP/README.md) later in this course.
## 🚀 Challenge

73
lessons/2-Symbolic/Animals.ipynb
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@ -29,7 +29,7 @@
},
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"metadata": {
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@ -71,7 +71,7 @@
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": 2,
"metadata": {
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@ -110,7 +110,7 @@
},
{
"cell_type": "code",
"execution_count": 33,
"execution_count": 3,
"metadata": {
"trusted": true
},
@ -177,7 +177,7 @@
},
{
"cell_type": "code",
"execution_count": 34,
"execution_count": 4,
"metadata": {
"trusted": true
},
@ -192,12 +192,18 @@
"y/n\n",
"claws\n",
"y/n\n",
"eats meat\n",
"forward-looking eyes\n",
"y/n\n",
"color\n",
"0. red-brown\n",
"1. black and white\n",
"2. other\n",
"has hooves\n",
"y/n\n",
"long neck\n",
"y/n\n",
"long legs\n",
"y/n\n",
"pattern\n",
"0. dark stripes\n",
"1. dark spots\n"
@ -206,10 +212,10 @@
{
"data": {
"text/plain": [
"'monkey'"
"'giraffe'"
]
},
"execution_count": 34,
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
@ -232,7 +238,7 @@
},
{
"cell_type": "code",
"execution_count": 36,
"execution_count": 5,
"metadata": {
"trusted": true
},
@ -242,31 +248,26 @@
"output_type": "stream",
"text": [
"Collecting git+https://github.com/buguroo/pyknow/\n",
" Cloning https://github.com/buguroo/pyknow/ to c:\\users\\dmitryso\\appdata\\local\\temp\\pip-req-build-3iv4twpl\n",
"Collecting frozendict==1.2\n",
" Cloning https://github.com/buguroo/pyknow/ to /tmp/pip-req-build-3cqeulyl\n",
" Running command git clone --filter=blob:none --quiet https://github.com/buguroo/pyknow/ /tmp/pip-req-build-3cqeulyl\n",
" Resolved https://github.com/buguroo/pyknow/ to commit 48818336f2e9a126f1964f2d8dc22d37ff800fe8\n",
" Preparing metadata (setup.py) ... \u001b[?25ldone\n",
"\u001b[?25hCollecting frozendict==1.2\n",
" Using cached frozendict-1.2.tar.gz (2.6 kB)\n",
"Collecting schema==0.6.7\n",
" Preparing metadata (setup.py) ... \u001b[?25ldone\n",
"\u001b[?25hCollecting schema==0.6.7\n",
" Using cached schema-0.6.7-py2.py3-none-any.whl (14 kB)\n",
"Building wheels for collected packages: pyknow, frozendict\n",
" Building wheel for pyknow (setup.py): started\n",
" Building wheel for pyknow (setup.py): finished with status 'done'\n",
" Created wheel for pyknow: filename=pyknow-1.7.0-py3-none-any.whl size=34580 sha256=334cc7a6eb47459f488db594e8537d7d33d2865c2dbcdd44854146c5c27608e3\n",
" Stored in directory: C:\\Users\\dmitryso\\AppData\\Local\\Temp\\pip-ephem-wheel-cache-l_g7bnq7\\wheels\\96\\36\\bd\\ee1de50bbcf2c7a323dead05584cf90db8898524cf7f57f488\n",
" Building wheel for frozendict (setup.py): started\n",
" Building wheel for frozendict (setup.py): finished with status 'done'\n",
" Created wheel for frozendict: filename=frozendict-1.2-py3-none-any.whl size=3146 sha256=71e32ca6c8ad7e0413bdc9a38f5882a36ba0509e562564a69904fcc9c8b66a9b\n",
" Stored in directory: c:\\users\\dmitryso\\appdata\\local\\pip\\cache\\wheels\\5b\\fa\\ab\\0a80360debb57b95f092356ee3a075bbbffc631b9813136599\n",
" Building wheel for pyknow (setup.py) ... \u001b[?25ldone\n",
"\u001b[?25h Created wheel for pyknow: filename=pyknow-1.7.0-py3-none-any.whl size=34228 sha256=b7de5b09292c4007667c72f69b98d5a1b5f7324ff15f9dd8e077c3d5f7aade42\n",
" Stored in directory: /tmp/pip-ephem-wheel-cache-k7jpave7/wheels/81/1a/d3/f6c15dbe1955598a37755215f2a10449e7418500d7bd4b9508\n",
" Building wheel for frozendict (setup.py) ... \u001b[?25ldone\n",
"\u001b[?25h Created wheel for frozendict: filename=frozendict-1.2-py3-none-any.whl size=3148 sha256=2863d55c240d2409cddf05ccfe600591f8478681549fc97555c47c90dc6bb160\n",
" Stored in directory: /home/rg/.cache/pip/wheels/49/ac/f8/cb8120244e710bdb479c86198b03c7b08c3c2d3d2bf448fd6e\n",
"Successfully built pyknow frozendict\n",
"Installing collected packages: schema, frozendict, pyknow\n",
"Successfully installed frozendict-1.2 pyknow-1.7.0 schema-0.6.7\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
" Running command git clone -q https://github.com/buguroo/pyknow/ 'C:\\Users\\dmitryso\\AppData\\Local\\Temp\\pip-req-build-3iv4twpl'\n"
]
}
],
"source": [
@ -276,13 +277,14 @@
},
{
"cell_type": "code",
"execution_count": 37,
"execution_count": 13,
"metadata": {
"trusted": true
},
"outputs": [],
"source": [
"from pyknow import *"
"from pyknow import *\n",
"#import pyknow"
]
},
{
@ -294,7 +296,7 @@
},
{
"cell_type": "code",
"execution_count": 39,
"execution_count": 14,
"metadata": {
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},
{
"cell_type": "code",
"execution_count": 43,
"execution_count": 15,
"metadata": {
"trusted": true
},
@ -408,7 +410,7 @@
" (9, Fact(animal='tiger'))])"
]
},
"execution_count": 43,
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
@ -426,6 +428,13 @@
"ex1.run()\n",
"ex1.facts"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
@ -448,7 +457,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.5"
"version": "3.11.2"
}
},
"nbformat": 4,

75
lessons/2-Symbolic/FamilyOntology.ipynb
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@ -19,7 +19,7 @@
},
{
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"execution_count": 19,
"execution_count": 1,
"metadata": {
"trusted": true
},
@ -59,7 +59,7 @@
},
{
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"execution_count": 20,
"execution_count": 2,
"metadata": {
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@ -68,7 +68,10 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: python-gedcom in c:\\winapp\\miniconda3\\lib\\site-packages (1.0.0)\n"
"Collecting python-gedcom\n",
" Downloading python_gedcom-1.0.0-py2.py3-none-any.whl (35 kB)\n",
"Installing collected packages: python-gedcom\n",
"Successfully installed python-gedcom-1.0.0\n"
]
}
],
@ -86,7 +89,7 @@
},
{
"cell_type": "code",
"execution_count": 22,
"execution_count": 3,
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},
{
"cell_type": "code",
"execution_count": 23,
"execution_count": 4,
"metadata": {
"scrolled": true,
"trusted": true
@ -153,7 +156,7 @@
" ('@40@', ('Aleksandra Fedorovna', 'Gessenskaja'))]"
]
},
"execution_count": 23,
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
@ -172,7 +175,7 @@
},
{
"cell_type": "code",
"execution_count": 28,
"execution_count": 5,
"metadata": {},
"outputs": [
{
@ -195,7 +198,7 @@
" ('@55@', ['@37@', '@38@', '@39@'])]"
]
},
"execution_count": 28,
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
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},
{
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{
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},
{
"cell_type": "code",
"execution_count": 31,
"execution_count": 8,
"metadata": {
"trusted": true
},
@ -375,7 +378,7 @@
" fhkb:hasFemalePartner fhkb:i38 ;\n",
" fhkb:hasMalePartner fhkb:i37 .\n",
"[] a owl:AllDifferent ;\n",
" owl:distinctMembers ( fhkb:i0 fhkb:i1 fhkb:i2 fhkb:i3 fhkb:i4 fhkb:i5 fhkb:i6 fhkb:i7 fhkb:i8 fhkb:i9 fhkb:i10 fhkb:i11 fhkb:i12 fhkb:i13 fhkb:i14 fhkb:i15 fhkb:i16 fhkb:i17 fhkb:i18 fhkb:i19 fhkb:i20 fhkb:i21 fhkb:i22 fhkb:i23 fhkb:i24 fhkb:i25 fhkb:i26 fhkb:i27 fhkb:i28 fhkb:i29 fhkb:i30 fhkb:i31 fhkb:i32 fhkb:i33 fhkb:i34 fhkb:i35 fhkb:i36 fhkb:i37 fhkb:i38 fhkb:i39 fhkb:i40 fhkb:i41 fhkb:i42 fhkb:i43 fhkb:i44 fhkb:i45 fhkb:i46 fhkb:i47 fhkb:i48 fhkb:i49 fhkb:i50 fhkb:i51 fhkb:i52 fhkb:i53 fhkb:i54 fhkb:i55 ) .\n"
" owl:distinctMembers ( fhkb:i0 fhkb:i1 fhkb:i2 fhkb:i3 fhkb:i4 fhkb:i5 fhkb:i6 fhkb:i7 fhkb:i8 fhkb:i9 fhkb:i10 fhkb:i11 fhkb:i12 fhkb:i13 fhkb:i14 fhkb:i15 fhkb:i16 fhkb:i17 fhkb:i18 fhkb:i19 fhkb:i20 fhkb:i21 fhkb:i22 fhkb:i23 fhkb:i24 fhkb:i25 fhkb:i26 fhkb:i27 fhkb:i28 fhkb:i29 fhkb:i30 fhkb:i31 fhkb:i32 fhkb:i33 fhkb:i34 fhkb:i35 fhkb:i36 fhkb:i37 fhkb:i38 fhkb:i39 fhkb:i40 fhkb:i41 fhkb:i42 fhkb:i43 fhkb:i44 fhkb:i45 fhkb:i46 fhkb:i47 fhkb:i48 fhkb:i49 fhkb:i50 fhkb:i51 fhkb:i52 fhkb:i53 fhkb:i54 fhkb:i55 ) ."
]
}
],
@ -396,7 +399,7 @@
},
{
"cell_type": "code",
"execution_count": 15,
"execution_count": 10,
"metadata": {
"trusted": true
},
@ -405,18 +408,19 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: rdflib in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (4.2.2)\n",
"Requirement already satisfied: isodate in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from rdflib) (0.6.0)\n",
"Requirement already satisfied: pyparsing in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from rdflib) (2.2.1)\n",
"Requirement already satisfied: six in /home/nbuser/anaconda3_501/lib/python3.6/site-packages (from isodate->rdflib) (1.11.0)\n",
"Collecting RDFClosure from git+git://github.com/RDFLib/OWL-RL.git#egg=RDFClosure\n",
" Cloning git://github.com/RDFLib/OWL-RL.git to /tmp/pip-install-3jouot5s/RDFClosure\n",
"Building wheels for collected packages: RDFClosure\n",
" Running setup.py bdist_wheel for RDFClosure ... \u001b[?25ldone\n",
"\u001b[?25h Stored in directory: /tmp/pip-ephem-wheel-cache-13in8fda/wheels/d8/db/e8/a1d3dea0a6029d7e76b153cfb7129a343a1e357c055c87896b\n",
"Successfully built RDFClosure\n",
"Installing collected packages: RDFClosure\n",
"Successfully installed RDFClosure-5.0.0\n"
"Requirement already satisfied: rdflib in /home/rg/anaconda3/envs/ai4beg/lib/python3.11/site-packages (6.3.2)\n",
"Requirement already satisfied: isodate<0.7.0,>=0.6.0 in /home/rg/anaconda3/envs/ai4beg/lib/python3.11/site-packages (from rdflib) (0.6.1)\n",
"Requirement already satisfied: pyparsing<4,>=2.1.0 in /home/rg/anaconda3/envs/ai4beg/lib/python3.11/site-packages (from rdflib) (3.0.9)\n",
"Requirement already satisfied: six in /home/rg/anaconda3/envs/ai4beg/lib/python3.11/site-packages (from isodate<0.7.0,>=0.6.0->rdflib) (1.16.0)\n",
"Collecting git+https://github.com/RDFLib/OWL-RL.git\n",
" Cloning https://github.com/RDFLib/OWL-RL.git to /tmp/pip-req-build-lbfzwi3m\n",
" Running command git clone --filter=blob:none --quiet https://github.com/RDFLib/OWL-RL.git /tmp/pip-req-build-lbfzwi3m\n",
" Resolved https://github.com/RDFLib/OWL-RL.git to commit a77e1791b88b54aace609bc6000aac14c7add4ff\n",
" Preparing metadata (setup.py) ... \u001b[?25ldone\n",
"\u001b[?25hRequirement already satisfied: rdflib>=6.0.2 in /home/rg/anaconda3/envs/ai4beg/lib/python3.11/site-packages (from owlrl==6.0.2) (6.3.2)\n",
"Requirement already satisfied: isodate<0.7.0,>=0.6.0 in /home/rg/anaconda3/envs/ai4beg/lib/python3.11/site-packages (from rdflib>=6.0.2->owlrl==6.0.2) (0.6.1)\n",
"Requirement already satisfied: pyparsing<4,>=2.1.0 in /home/rg/anaconda3/envs/ai4beg/lib/python3.11/site-packages (from rdflib>=6.0.2->owlrl==6.0.2) (3.0.9)\n",
"Requirement already satisfied: six in /home/rg/anaconda3/envs/ai4beg/lib/python3.11/site-packages (from isodate<0.7.0,>=0.6.0->rdflib>=6.0.2->owlrl==6.0.2) (1.16.0)\n"
]
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@ -434,7 +438,7 @@
},
{
"cell_type": "code",
"execution_count": 32,
"execution_count": 11,
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"metadata": {
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@ -505,8 +509,8 @@
"output_type": "stream",
"text": [
"Fedor Alekseevich Romanov is uncle of Ekaterina Ivanovna Romanova\n",
"Fedor Alekseevich Romanov is uncle of Anna Ivanovna Romanova\n",
"Aleksandr I Pavlovich Romanov is uncle of Aleksandr II Nikolaevich Romanov\n"
"Aleksandr I Pavlovich Romanov is uncle of Aleksandr II Nikolaevich Romanov\n",
"Fedor Alekseevich Romanov is uncle of Anna Ivanovna Romanova\n"
]
}
],
@ -534,7 +538,7 @@
},
{
"cell_type": "code",
"execution_count": 35,
"execution_count": 14,
"metadata": {
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@ -542,6 +546,13 @@
"source": [
"!rm onto.ttl"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
@ -563,7 +574,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.5"
"version": "3.11.2"
}
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