From 9e2796e6bef7b7adaf00b5800dff70d34596fdc0 Mon Sep 17 00:00:00 2001 From: Sergey Penkovsky Date: Fri, 24 Oct 2025 17:42:11 +0300 Subject: [PATCH] docs(gpt1): add architecture diagrams and notebook updates - Added architecture diagrams for GPT-1: gpt1.drawio, gpt11.drawio (drawio format) - Exported visualization images: gpt1.png, gpt1.svg for documentation and presentations - Updated gpt.ipynb notebook to reference new materials and possibly add explanations of layers/logic - New assets help to clarify model structure and training flow for both contributors and external users --- assets/drawio/gpt1.drawio | 145 +++++++++++++++++++++++++++++++++++++ assets/drawio/gpt11.drawio | 73 +++++++++++++++++++ assets/models/gpt1.png | Bin 0 -> 47153 bytes assets/models/gpt1.svg | 1 + notebooks/gpt.ipynb | 21 +++++- 5 files changed, 239 insertions(+), 1 deletion(-) create mode 100644 assets/drawio/gpt1.drawio create mode 100644 assets/drawio/gpt11.drawio create mode 100644 assets/models/gpt1.png 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TokensText is not SVG - cannot display \ No newline at end of file diff --git a/notebooks/gpt.ipynb b/notebooks/gpt.ipynb index 36c7dc2..d68a63d 100644 --- a/notebooks/gpt.ipynb +++ b/notebooks/gpt.ipynb @@ -10,6 +10,20 @@ "Она заложила фундамент всех последующих поколений GPT-моделей, показав, что модель, обученная на большом корпусе текстов в режиме **предсказания следующего токена**, способна эффективно адаптироваться к различным задачам обработки естественного языка." ] }, + { + "attachments": { + "image.png": { + "image/png": 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uRUqQpwgQfte4quy2myJFSlq4aodm19ZW4THiHgNG0kZx5+El4mYjnURX4D/Pn6IaFQrI9YqWKENzl27UbBN5xsrKKnKWfL584WziSTvVbtCMps1doZ2lc157n/9cOkdFcqSW642dPEd2O9a5ETIhAAEIQAACEIAABCAAARbw/uuvvzp++W4X4XtfYvOMHTuWqlatSl5eXl3y58+/48aNG3sT+xjYHwQgAAEIGE5A80+CA4Nt2rTJPG3atDSGO1zS73nWrFnOw4YNqylaQm45dOhQ86QvgXGOeONxiObAHGSbtWCNvNnH+/dvKUfOPGRjG171g0b9pFnPwcGJLvl+7b67ctMBevTgrmyx55o7PynBOu1988aRnys7XL/zuDKr81F7u7oNWxBPSvrf4vXKrGb/fAMVLmOq1GZ1iWrOEzMQgAAEIAABCEAAAhBILAEPD4+CIlj3WTSaiNJbLLGOob0fbqTBgUjxnXK6yEdwUBsH8xCAAARULiAjRNyVWDQFTy8Cg+lVXt54FW/KlCmOYhyMmnnz5p3n6+vbM147MYONMmVxjtNZcDAwW3bXOG1jyJWzOmc35O6xbwhAAAIQgAAEIAABCJiNwIkTJ1oePx7zj/WGONkU3E0JCQIQgAAETEpABgevXr3a9cqVKyZV8LgWdurUqfbil7MeYjuLDQ7G1QzrQwACEIAABCAAAQhAAAIQ0FeAWw/evn07l77rYz0IQAACEFCHgHWmTJmmDxky5GtfUnWUK9FLwf+oKlWqFFSrVq1Wib5z7BACEIAABCAAAQhAAAIQgAAEIAABCEAAAiYoYC2S6FFc18kEyx7nIk+aNMnu8uXLo+O8ITaAAAQgAAEIQAACEIAABCAAAQhAAAIQgIAZCliLMSFSmOF5RXtKKVOmTB7tQiyAAAQgAAEIQAACEIAABCAAAQhAAAIQgIAFCVj7+fnl4S63lpC+jIGRxxLOFecIAQiYh8CbD2HmcSI4i3gLfP4c702xIQQgAAEIQAACEIAABCAAgVgF5A1JYl0LK0AAAhCIp8CSQx/pb7/geG5t2ZulTmlHDUtbU+WCySwbwsLP/nNoGC2a6EthYQgUR3cp2CW3oc7D8NtfdD7IhwAEIAABCEAAAhCAQEwCCA7GpINlEIBAggUcUltTfQ83ypM9fYL3ZWk7OHruujjlAEs7bZyvDgErK6J6Hb10LEFWSFAIHd10ChAQgAAEIAABCEAAAhCAQDwFrOO5HTaDAAQgoLfAuw+f9F4XK0IAAhCIi0CwCA4iQQACEIAABCAAAQhAAALxF0BwMP522BICEIAABCAAAQhAAAIQgAAEIAABCEAAAiYtgOCgSVcfCg8BCEAAAhCAAAQgAAEIQAACEIAABCAAgfgLIDgYfztsCQEIQAACEIAABCAAAQhAAAIQgAAEIAABkxZAcNCkqw+FhwAEIAABCEAAAhCAAAQgAAEIQAACEIBA/AUQHIy/HbaEAAQgAAEIQAACEIAABCAAAQhAAAIQgIBJCyA4aNLVh8JDAAIQgAAEIAABCEAAAhCAAAQgAAEIQCD+AggOxt8OW0IAAhCAgBkIBIeEmMFZ4BQgAAEIQAACEIAABCAAAQjET8A2fpthq8QSmLP2RGLtCvuBAASMKPD582cKE5ONLd5WuRrSu9agly9fG7FG9D/0+ycnKRnqTX+weKwZEhpCtjZ4beiis0pbRle20fOcHB3o5b3DRi8HCgABCEAAAhCAAAQgYHgBfFI3vHG0R5jatVy0y7AAAhCIKjCwx/e0a+s6+m3zQarg7qVZ4c/zp6lVQw+q27AF/W/xek2+vjNvA95Q6fzp6fz1Z+Tg4KTvZhHW27BqMZ08dpDmLdscId9Sn6RMkZxevHhB6dKlUzWBnZ2dqsuXFIVr3rYRXbh0PsqhVi5YQ54e1aLkxzXj+s3/qFYTL7p7xT+um1rM+mFhYao619evX5NboQKqKhMKAwEIQAACEIAABCBgOAEEBw1niz1DAAKJLMCt8zjt3701QnDw0L4dMv9zWPhy+SQ+f1T2BT0+p6CmbV6+fKn64KCavIxZlh87dKP233WMUIQMGTJGeI4nliPw6tUryzlZnCkEIAABCEAAAhCAAGHMQVwEEICASQmUKF2etm9eTaFfxonjgOG2jb8R5yvp9asXNHpwd6pYxJlaNapCm9YsVRbRwb3b6ftm1alkXica0rsDvXsboFnGM7y/yd6DiVsphgQH07Onj6lfl+/kvjq2rENXL/8l1+f15s4YT7UquxHn//3nuQj7wRMImJKAk6MTZXfJEWFKmSKlPIVN2zdQnabVyaN2Bfr5l+nEXYQ5PXv+lHoO7EqlPIpS2x9b0ZVr/8p8/rP3wG6q/00tatSyLm3btUWTjxkIQAACEIAABCAAAQhAQH0CCA6qr05QIghAIAaBshWqUAoRtDh/9qRc69+/L9LHj4GiJeHX7o9zZ0ygm9ev0C9LN9F37brSSBHAePr4Eb16+Zx6dmpBrTt2l91/r135O0LgkLv2TR03hPbt2ESDRv0kxw/s1q4JvXnzimbOX0VFipWmJjXLUMCb17Rv5yZatmCW2H8Xqii6Xm7dsDKGUmMRBNQtwIG9HXu3aaYz50/JAvucOEKDRvajVi1ai6D5NNoouvXPWzSH+LXSuWd7eiO65M+ZNo+KuhWjei1qUoAItj989IC69/+RypYqT+1bd6KN2+Le1V/dWigdBCAAAQhAAAIQgAAEzEsA3YrNqz5xNhAwewErKytq1Lw1HdizjSpU9pQtAZu0aEvJkiXTnHvNuo2p3Q+9KGu27JQyVWqZf9v3OuXIlUfOv3j2hKpWq0MLV+2gTyKwqKRZU8bQzi1racehC5TVOTv9+8+fdPmvC3T0vC9ly+4qg4Cb1y2n0yJgcuzwPvq27Q/UsWs/uTlaDiqKeDRFAZ+TR+maCKgrqVJ5d6pQthKtWr+SWorXW4c2neWiAb0G069Lf6FqVWrQ3//+RX8cOEcu4nVWuYIHbRCBwz/OnKC3795Sofxu5D18gtzm3fu3NGbSSGXXeIQABCAAAQhAAAIQgAAEVCaA4KDKKgTFgQAEYheoWa8J/dimIY0YN4N2bF5DU/63lC6e+0OzoZW1NfXq/A1dv3qZsmR10eQ7Z8tBw8ZOo/Ej+srJs0Y9GjF+pmb5upUL5Ty3DOR0/+5t+ehVNq98VP68fPGMDopxDifPXqJkUakyFenPC6c1zzEDAVMS6Pljb+r5Y58oRb7t50uHfA7QBhE0V1Lq1Gno3oO78mnlWhFvrPXi5Qtxc5NzVK5MBWV1KlakhGYeMxCAAAQgAAEIQAACEICA+gTQrVh9dYISQQACsQiULB0eeFi+aDa9ffuGylb00GwRGhpKg0V3R+5+zHcfPvbnHUqdxl4u57EIq9dpRP/ee0+/bTkkxxvkcQOVtFW0gmrY7DsaPagb8X7s7R3kolOXH9LfdwLktHX/WardoBkVcCtKT/wfKpvSnds3NfOYgYC5CPDdu7t37kX/Xbwtp7NHLtGG5VvEayOtPMWLx//RLNu18XeqW7M+uebIRf6iG7+S7t7zU2bxCAEIQAACEIAABCAAAQioUADBQRVWCooEAQjELGBja0vclXj6hOFUt2EL0aXYTrNBSEiwJmDIwT2+Wcl70c2RbyDy8ME9MWZgWRnU4y7JFdy96K0YM01J2XO40uDRk+nK5Uu0cfUSKlyspFy0Y9NqshXHPPuHDzWrXZ5ePH9Gtes3o+0bV9HdO75ifMOrdPj3ncpu8AgBsxFwF4H3/Yf30lPRFf/Dh/c0euJwWrTiVypSqKg8x607N5OtjS2dPvsHNfy2Dr0Q43pWq1qD/hBjgp4WrXlfvnpJm3dsNBsPnAgEIAABSxDYsGEDnThxwhJOFecIAQhAAAJfBNCtGJcCBCBgMgLWorswjznIqVb9prRGBCn4UUnWVtaUPHkK6tZnKPUVd0/lFoOlylakKmJ8Qb4RySXfV1TFqzZVL5+f0mfIRPYOjjRl9tc7GYudy27IA0dOomkThskWgrMXrqV+XVvT1PFD5WEGjphI+Qq4kaO4u+umNcuoZsWCMp+7KHP5kCBgTgJdOnSni5cuUJU6FeVpFRddhBeI7vTpnNLRLzMWUC/RynbSl9a3Q/oNp/x5C8hAfJVKValVxxZym1ri9YcEAQhAAAKmIzB37lxyd3cnD4+vPTNMp/QoKQQgAAEIxEcAwcH4qGEbCEDAKAJ8x2Al8R2CbzwOUZ5S70FjNPNd+wyjVuIuwsHBwZQhY2Z5Z9UXz5/K5f9bvJ6GiPHSgoOCyDV3Ps022vvq2nso8cSpXuNvyUt0lbwvukZmzupM3M2SU8bMWWnXkT/p3t1blCmzs6brslyIPxAwIYEtq6Nv9ZpWdB9eu3SjvANxkHjN5HLNrQnQNxQ3/qnuWZPuixa5WcTrwSFteDd8DpJzAPHBw/siWJ+cMopAPBIEIAABCJiOwMmTJ02nsCgpBCAAAQgkigCCg4nCiJ1AAAJqE3BwTKcpErc25CChkrK55FRm9XrkOx7nL1g4yrrcvTlXngJR8pEBAXMS4NcP35FYV0qVMhUVyBfeejby8ui2ibwenkMAAhCAAAQgAAEIQAACxhVAHzjj+uPoEIAABCAAAQhAAAIQgAAEIAABCEAAAhAwmgCCg0ajx4EhAAEIQAACEIAABCAAAQhAAAIQgAAEIGBcAQQHjeuPo0MAAhYmEBrydZxENZx6cLC6yqMGE5Qh6QVCQtV5HeL1kfTXgiUcMTQk1BJO02TOEfVhMlVllgXF9aeuakV9qKs+TLk0r16/ojcBb+J8CvHZJs4HiWYDBAejgUE2BCCQdAK3bl6j/FlsqVWjKlEO2vm7enLZ9auXoyzTzljwv8k0uFd7mXVw73a653dLzs8Vd1Id2qeT9qo65/kOxhtWLY6w7MrlS/LYr14+j5CfkCdlCmak/678k5BdJHjby1d8qXOvyZQpT21Kk7WKfOTnnJ8UKXPmzJQnTx76+PGj5nD//fefvNFFQECAJg8zCRdg45yFs+qc3r17m/ADJNIeilUsRNeuX0mkvSVsN8Z+fXDp8RpJWB3GtnWjKo2pcJYimql+5QY0b8Z8CkmiH0sqFqxE169cj62YFrMc9WExVa3KE8X1p65qQX0Ytz4aN25MBw4ciFKICxcuEC9Dil3g5Onj1PbHVlSishsVq1iQmrdtRIePHYx1Qw4K8roVa5Qhvgngxq3rKPBjYKzbJeYKCA4mpib2BQH9BDzFat76rar+tcZNXkQ8JSSFhYXJzf88d4qe+D/U7IqDcieORv0HpVlBa4b38fnzZ5kzZ8Y44sAep6bffk9d+wyR87H9UcoReb3o8iOvZ8znPicv6lUP67ccojJV21G+giXp0qW/6dOnT/IxX6EyMn/95ti99T1WTB63b9+mGTNmaFYxBWNNYRN5JjFeQ9EVKYzCX1vzf15EJ/efjTClTp0mus3MLl/fazYxXh/aePoeV3sbZR6vESnhKf56y7lE/BMaGkp9h/elE/8ep91/7KYGzerT+hXraczAsYl4FLPclac4K+/EPjPUR7xFPcWW3vHe2vQ29BRF9k7sYuP6i7eop9jSO95bR7Mh6iMamNizPcUq3rGvFvsauj6TFyhQgH766afYNza/NTzFKXnre1oczGvzQ0vyqFiFrl24RacPX6SypcpTpx7tYm1F+N+Na3Th0nn68/hl+hD4gQaPHkAB8Wh5qG9Zda2H4KAuFeTpLXD+/HnavXu33utjRSngI/5yEzf+1u4tJpNP3iI42LH7OL2CUzGdbInS5enQ/p2aVY4e3EOcp6Q/z5+mbu2aKE+Jg4m9f/hW85xnZk8dS9zKcPKYQXTq+GE6ffIo7d+9NcI6q5b+QhfOnoyQp8+Tf8QbduvGnlSxiDMN6d2BXr96odls4ZwpVK9KMaolfiWaPHYQ8YcbTjf+u0LtWtSU+XOmj6P3Bmqt5elemlas2U1WactEWw/cIqp91zF0+PBhGjZ8JF25coWWLFlC2bJlo2HDhsn89t28Y21BqM+xNDDRzHTu3JlGjx5Nt26Ft/CMvNrOnTupcOHClDZtWmrSpAk9ePBArrJ8+XIaM2YM8fZdu3alhQsX0sCBA6ldu3aUPXt2Ob9582biDzE87dmzJ/KuVfd87PAuxK+hmOouoYXOnCkLZXfJEWHiuxD73r5JLTs0J7dy+ahRy7ryQwkf68q1f6lbvx9o4bL5VKdpdfqxd0c6cOR3WYwde7dRk9YNZGCZM4Z7D6b9h/bJZfMWz6EajaqSV/3KNEG8Fvl1wBPve+O29XLZnbu36frN/+i7Tt/I9X7+ZTq9f/9Obm+oP/pcs4n1+tA+B32Oq72+9jxeI1LDR/w1yP9L+7RpKF2GdOKO867UfWB3mvrLFNqxcQc9uBf+A9XlS5epXeP25FGkCg3vPVy837+WBeIuZ9zKkPO5hcvaZWvD80M/04JZC6layepy2dSx00Tr6E9y2c3/blKnFp2JWyj+Mn2e+D/wXubzn+iOs239Npo77Rca3X80eQ8ep1nfyDM+4vioDwuoDyNfZ9EdHtcf3g/ktRHd+ybenw3z/szoDx8+pHXr1kl//oy+dOlSmjhxomxNOGTIEHr9Ovx/5MuXL2ns2LEyf8CAAXTz5k25Df85efIk9erVSy7jbZ89eyaX7d27V+5v6tSpERoOaDY07oyPOLze//eePH0sS1usSHFKlTIVOWdxpn49BlLf7gPEZ4LwVoAHj+6Xn4f5szd/vvZ/4k+83cjxQ+W2XfuJ7zh9O8v59l3bkP/jR/Jz9DLRw40/k3PrwuOnjlHvwd2plEdR+aj0xvpXfAfmz++c37HH93Tu4lm5n59mTpDrcUMa/lzeY0AXWrB0nlym/QfBQW0NzMdZwM/Pj/7+++84b4cNqOMXg7HiMUxM3l+em9wDBzY4rVizSwY4EhIkrNOgOe3ZtkFj8PuuLcR5Snr39g1dvfyX8lT8mvI6wnNe0LhFa8qeMzd927YzFRJvzP4P79OdWzc02/DMH8cO0d07UbvQ+hzaS4t+maaZtqxbodnu+bMn1KJuRbHPEjRnyQbxRfEl9RBBFU43RCBlxaI5NGDERJo0cyHt3LKWjuzfJZd1b9+UkiVLRv2HjadTJw7LPEP9Wb6ALydxMUUTaJr960Ya5z2G3N3d5XpXr16l48ePy3n+w/njxo2j2b9u0uRFN8PHcs3hHO2xottOyW/QoAF9++231LdvXyVL88jl4q4LtWrVooMHD1KIGKexVatWxL9kPnr0iCZMmCA/pHAeP//5558pV65cMmjI8z179pTnwefTp08fzX7VPOOtvI7Wxhzgje85HBNBcg7qKdNN8ZrgLgttxa+bKVKkoJUL1lAVd09q17U1vRAtdt9/eE/7RHB+/ZY11KFNJ3J0dCLeB6fDPofo0t8X6d9r/8h9rN20mlxz5iL+xXPpb4tpSL/hNGXcTNomgvKHRMtfbr34979/iWtlNDWs25gypMtAP/TqQMlsbWlQn2H0x5kT8T2tOG2XlK8P7YLFdlztdbXn8RrRaCTJ/8vSFUvLA97xvU0vnr2gVnW/o4JFCtKsJT/Tm1dvqE+H8PeqLWu3iNfLSpo4eyL92OdHmjTiJxlQ3LZuKy2bt0zk/SC32b9zPy3+X3ir+l7te5NtMlvqM6w3nTlxRnNiMR3n6eNntODnBfTk8VOq16SuZhsVzKA+LLA+VHDdKUXA9WeB1x/en5XLP9ZHg70+3r17R5cvX5YFeP78Oa1cuZJcXFyof//+dP36ddq+fbv8nM6NDd6+fSsbAPCP9PxDJ28bHBxM06dPp+rVqxMHATmIuH79+gj742AhL1dh0tvVJVt2yuGSUwzf1EF+7uUf1j8FfaIBvQYT/1DPn7/5M3CVylVpjfg+yWNu9xrYlRzSOlLrb9oS9+rpJwKJPbuEf3/p33OQzOPP0fx5u3e3fmRrm4y+F92WU6dKLT5vT6edYjgtDjhy6j24GzmJz+wrFqymPLny0ohxQ2S9tGrWWq63Zecm8dl+LfmIz/TNGrWIQm0bJQcZEIBAUgj4iIP4iclVTJw4qsPTODF5i8mkEgc2OCDFiYOEnPzu+YvgUVZy8+wgn+vzx6tWffEmN4Seil9IkqdMSRysGzF+pszTZ3teJ1eeApQqdWrKk78QOYkgRFzSbfGGzYEoJQW8eaXM0m7R6ilLVhcaNXGWHBsvQ8ZMVLtyYXomfumxsbWhecu3UPFS5eix/wNyFi20/rv6j+i6W5jui1ZSm/edkmXJ6ZqXmtQso9lnYs9wKyUO2PndeyR3zXUiJ1E/HMTdte8YXfppToyH/f7776lkSe7uOzzG9fhY2inysbSXRTc/c+ZM2dpv27ZtVLBgQc1qq1evpgoVKtCsWbNkHnc/LlSoEN2/f18+z5QpE/GvjNbW1uTj40OVK1eWwUBeOGrUKOrRo4cMJubLl4+WLVsmP5BwgFbNSWk96Hc3vO5WiCChUncjB/2Y4KKv2bhKfPBIq9lP9x9600PRhZ9/rTy867j84FFWXL/LVi2hkyJYlzWzs1x3+a8i8JcjF6USH0BmzZsu83gslSJuRenPvy6StZU1pRevs/x5C9AtEXBfPHcZlShaih6L/bo4u9C1G1epuldNud04ETz/pklL4paD9x7cpR3r91I6p3Ry//VE61pDp6R8fWifS2zH1V438jxeI1LER/z1E5OrmDgZ5P9l8uTJ5c4/fQwSP1LtpcxZM9PwicPk+336jBmogWj19/zpc9qydqtoKd+BqtYIHyP3w/sP9PiRP21avVl8WG9L33X8Tu6nx6AeNF+0MGz0TSN6cPcBrd+3TvwfcKIcrjmoRc1v5DoxHYdX4JaNC9b8Kt/r5Abq+OMjiuEnJlcxcUJ9hDsY66+POLCfmFzFxMkg9RG+a1X89RGl8BOTq5g4GeR88X4QjqvHXx+xjp+YXMXECfUR7mCsvz7iwH5ichUTJ4PUB++4WLFi1KFDB56lGzdu0L179+QjjyG+ceNGypIlC5UuXVp+Xr948aL4blFS9u6pUqWKbGWYI4f4riTWVZKTkxNNmzZNbf/vlOL5iBk/MbmKiVO0rrY2trRt7S7asmMTbRONXJavXiI3+KFdFxo5eKzMK1m8NI0ZOl7mjxJ51Rp40EvRG61QATdKkTwF8fLXb8JbYpYoVlI2MuGV+XN05QoesufOmfOnaPQQb/n5vYZnLfK7e0fur3/PwVStSnX52aVwwSK0eMUC+UN+7lx5aGj/ETT2p1FyvYmjxNjzGTPLee0/cQoO8gDyPAaOrnT69Gn5ZS7ysuHDh8umi1zZSOYhwMGT5s2by5Ph8co+fPhA586dk8/5y3zu3LnN40S/nkXY11mDzylvNrKLocGPZsADKEFC73TFqXA5F72OlCFjFqrg7kWHRau7VOKXE+5SnEUEGKJL2oG86NZR8rlLcs+O4dfti+dP6eypYzRj4gh5nMNnw1sWduraj1qJN28l8biFTWuWlU/v+d2Wgb8CWSMGmV69fEH2IuiycM5UatXQg1KnsZfre9aoR+dFkMU1T35NkLKACKjENbmXqxjXTaKsrwTuOEDGgTW+2QGnwMBA+eve/v3hvzYdOnSIihYtKv5pB+h9/Tk62It/YG81x1SOlS6doyYvuhn+xZEDf926daNdu3ZpVuOuxhUrfj3vnDlzymVK94MaNWpE+PCQN29ezbaOjo7yAwtn2NnZyXxuPh9TcDB1ZnfN9mqZUYKEiueAVmOoLnnGu3iL5iyjMiXDr2VlJxwwzCeuT+2xBwuJoDr/IszBQc7nwCCniuUqiV8jb8sWgPy8fetOdPDIfvlrZA2vWvJDCAcQuVtxszaNNPusVrUGry5TyWKl5OO5C2cot2tuGRjkjILimAlNHwI/6X3NRj6WYmyI10fkY2k/V46rnRd53pivEX/RYo27uhsoJcb/Vfn/0u+yP1HESzteRX71MvzHoHwF89LZk2fF+LdPqEjWiO/ZvM4d3zvUqWdHzTFatg8f2oLzu/b7+v/DJUc2uY8LZy6K/wOuMjDIG+V3K6DZ9r7f/WiPwytVrFIxwnudZkP9ZxLDWd+jyfrQd+XY1kN9xCYU6/JErY9Yj6Z7hSS//vB+oLsivuQmeX3EWJo4LMT7QRywdK+a6O8HPCSRklKLRhncG4V783DinkHaibscpxSNPjiIyOMWcuwgY8aMMoCorMeBRP7RPw4pKa/n6IoVxZVjIylFd+KunXrI6Zn4zrl+81qaMXcqVRCfpe/e96PSIvinpGyi4QmnF+L7ZGwp25fvxPzjhfbnd34e+jl8OCsOKlapW0n2AuIWjNqpY9sfaOqsn8Rn/KzUtGH4d2Lt5Twfp+DgqVOnZKCPN+QLYvHixVSvXj1+Shky6G6hw93AlJsEyBXN94+3ODWezD7Z2NjIpsJ8otxqh8cCa9u2rTxvJehgZghWBjofXW9q48SxvMUUFhZwwUCH1X+3XvW7yhZnkVuJRd4D31CBv+gqiVuvuebMKrd9ZhPxy5WyTnSPdRu2oL07NsogW73GEf+58DbBwUGaTf0f3tPMxzaTJ39Bmjl/lVxt5k8jqUx5d6pava7e/4jSOjhS0RJlaPW2I3IfIaJ5/E0xnmCuPPlo+oTh5CfGbjsqBp7NJt6I+4qm3pyyi8CKn2iNGCoC6jaiCyW3KoxrOnnuNFUuGDEgGdM+dH2Z55ad3DKN70785MkTWrNmjdzFpk2byNfXl/hHHE4chOMxRRwd09LTW+EBQ7kgmj/chVwJAiureHqUlsdq+8MYJSvGx969e9OiRYtkl2BlRQ5Q/vXX1+7jXEZORYoUod9/Dx/3TlmXH22FrXbisfTikt4/OSnGBUkRl00irKvcdOLonoUR8uP6JLq645aDS6eEG8R1nzGtnzd3PnokWuly8JTf1/n/9TXRNXjEoNEi73OETTNmyESF8rvRouW/krsYZJlbGXI34SDxemzx5XW6ZOUC0SrwDp06eJ74AwyPZ6KdlHrhsQ9vi2A7d6XgX1i5lWFCU6qUyUmf98zojA3x+tA+p5iOq2uZ9rbGeo1kzZKJHt3Yq12URJn/cr5xe5GGD78R+fjy/6Vr0ay6/pdGXjfW57+LbsCcXHJmp7TiR48iJYrQym0rZF6wuIuxrxg3kIN8BQsXFK3bw8dJ4oWH9hyirC6ilXwxNxnokxuIP3637lJlr8rEQUK/W37i/4B4nYlW5k/8HyurxHgczUoJm4mrs75H02Uu60PsQNcyfferWQ/1oaHQZ0aXeaLWhz6F0LFOkl9/eD/QUQtfs5K8PsShdV2bX0uk5xzeD/SECl9Nl3mivx/oCuSlSRN+o7sdO3bIYCAXx8/PTwYBuSHZb7/9JuNH3LOH1+FGCQlIhrqeoyuSXq7bd2+hqbMn058nLsv98Odn7gq8ZuNvdO/+PSqYrxBd+e9fzTH87t2R8wXyFaSLf53X5OuasbG20ZWtyePA4+iJw+ln0UusQZ1GdPvuLTlGobLC2o2r5Y/33Gvod9E7r27N+soizWOcwrMc+HF2dpYT74EDgspz/sKma/B4zZHEzD///CNbgyi3x16xYgUVL16cuEUiD1zJrYB4MMVy5crJQSl5f7yMB8xXEvdR5/7rPPA8D2Sp6246yrpJ/DhWHM9HTN5iMuvEX/DKlBF3NhUTBxM48q88518OkPQS8BZrhbcXDl+d37T5Tc47/Klp/VUCgxwU5OAQj7HFgZLYgoq6zrJ67YayVd+RA7uJ57VT5izZiFv9cYs8vpPxupVfA5La63HA4Y0YE1A7OTg4USXRzJqnjGLMh/yFish5bqmoT+Jg4uW/LtC/Yqw1fg2sFC2kenZqIbtVcmCwSPEyMjDIrQ2Pi3Ef+EeR0uUryyDnut8WilZ6H2jdioQFj2IrJwdpuSWfkjgoyAETDnxwaljXk1avWkHc8o4n7qrLP/Qoz/nmH6t+WyHXU/YR3SMfSzswyPV+dO/CONc7t+5bsGABKa0X+Xj8oxP/n+CBizmtXbuWGjZsSEo3H5lpZn9iqztDnG7pEuG/XPLYIxyoU8YULF60pM7DcSvA3b/vpHKiRW8uMa4nd33wOXFEtirkDTgwWKxwcRkY5AGReTwTDjxGTnzXNm6VuGbDb8R3dVu1fmXkVQzyPDbjxHx9aJ9AbMfVXlfXPF4j8v9iov+/fCpaRt4RQbsb127Km4pMHDaRxkwdIwLl1uK9uzT9+9e/4v1efIAX7/erF6+iPp36yvf7GvWq086NO+nh/Yfke92X+nbuR2ns01D1utVp+wZxQ5O7D+RQBntF12R3L3cqVb6U+D+Qmjb8toE+Bn4Ud0X+Oq5uTMfRdS2oJM9blAP1oZLKEMUwSH1s2LCBTpw4oZ6z/FoSg5wv3g++AsdxDvURRzADr54o9fH48WN5w0DuycMTNxzQJ+XPn1+uxp/p+UfnS5cuUZcuXejVq1fk7y+Gm3J1Je7t8+bNG3nDQBNqQKa3aynRkITH7uabh/A4i3yO/FmZA3KFChQiL/E9lG8mcv7P8F6XO/ZsI+4WrPR2UpyV4OubONyt+NXr8B4Q7hU9wr+rrlkmd/c57LNssThefMaZ7D1N3hxl5Phhmq7LyjH50Vb7SXznlcHj+/UTXfLEAPE8WDw/av9T4YEqeXD4wYMHy0Hm9+3bRx07dqQ5c+bIL6g8zxfRoEGDiO+AyxfN3LlzZZ/1H3/8UbZM4xtf8GDzHGnmKDRfbDxgPQcTVZDGiTJwgLCqVlm8tebNdlZpDWK2J2iYE+NrhRNfN948Y6qJv/hyUlqMxScgqFxD/JhJ3NWplGh2/Ul0eeUbiyh3duJj5BXdDyuLAEWbJl4y6FZRBPaui5uBcOJtlTdSd6/aNGZID3IQ45mFL4v6O4hyTLlCLH94XXfPmtSxW395bF49vfglaJa4iQO3CGwnxm/juyZvE78KpUufkZp+247m/TyRatdvRgOGT6DxI/rKic+Lux3H5dixFC3CYiVIq7QUjLBQPOnX/RsqU7UduXt4am5KopjxuhyMG+s9ni4c+y3yplGe85iSnBJS78pOvby8qHXr1jIIyHk8Lkn9+vXJw8OD7O3t5a+PSrdj7XpWto/8GNk38vPI66vheWx1F98yWsnfHHRvzQMaDxPjj/BgxZNmjJd3DJ4+4WfZmk+XWeUK7rLbcOmSZeQOq7p70g3f65RBXPOcuLsC3yFts2j5m94pvWxROGfBLKpdvY5crpSFu+8O6TuMxkwaKSfu7iy7NovXmSFTbMaJ+frQPo/Yjqu9bnTzFv4aSfT/l/x5c9H/FsuJzYuXLk5DxV0ClS7ClTwrUftu7al9kw6ySnjsvxkLpsuWfw2aN6Bdm3dTrbK1ZdCvW/+ulDN3TqorAoBbxU1JapcPv9655WGDZvXlkAZ9h/eRNy7hm5eULFdSbsevsZiOw8utrQ37mpAnF/c/qI+4mxlyi0SvDy4sfwfj7238f1hlKdHPF+8HCaph1EeC+BJ940SpD74TMU9K4kZA/Dk9psT/sxwcHMjb21tO8+fPl6tzvIZvGsif53mMcf58z6lp06ayJxPf+Tj8/13U72pyRXX80duVu/tOE+PlDxkzkMZNCe9Fxd14+WZ9lURDE27YVl18l23xfWP52Zd/aF82P/x7FzvYfRkjPa19WjkcUM3GnnT899OxKvC2xcVNM/mH/HJe4T/yd273oxwXfOiYQXJMwwplK1Gjuk3kmIU8HiLfwZjLqp34U4coY5h2nl7zXACu4CZNmtCIESPo6NGjxM1FOfHgktwi5e7du8QXBgcPz549Sy1btpTBQF6nUaNGcuwrpVUgDxrPrQI5wsytz44cOUL8YZjvdsOtWa5duybvkMN92A8fPkw8mCXvl1utZc2alXepV+Jyi2SoT1uRIcd9KZS3eGGEKYPr61VQrKQKAb4Dk+jymNjXi/eXk1MedZ2ryXQrjq3r8abTQWSVwoWKF3DWdZ7xyuObgDiKwF+yZHbRbv/m9UvRmsNB/ugQ7UrxWPDyxTN6/uwp5RQDuyYXb+hKChJ3ouIbqWTL7ir/yfF6Do7p5PG5leNb8csPBzu/vAcpm8X4ePTcdSqcJUCvbsVKkFZpJRjdjtdvPULtu4yicd6j6ft2HWXLQf5FkFsMcmBw5cLx1Kp5jeg2l/l8LO5Ky8eKLhjsUrA++Rw7KX8hjHFnMSzksUv4fwC3II/cdTiGzeK0iH+pe/3gqFG7FcdWdyHBYbJbcd0OnnE6N31XDngbQP7i2s2RPSelTJFS3810rsdjzjwRr0++Wxtf6zyGiqPoks9fviKnl6J179t3AfKubnF5XUTeT+C7j3RyxznqPCxP5EWa57EZKysmxutD2Rc/6nNc7mYbn89hvH9DvUbu3LlDlStVUEO3Ym8+T5G85V8df8bv6hLWvKxh7kr+8sUrcefi55QjV44oLZd5TEIOGnKwW0ncHf/hvQeUzC6ZGC83S4T3ex4z613AO9Ft2SVCPm8b03GUfcf1ccv5OTSmYdJ/fkF96K4pY9WHKE28vufpPgv9cw30fcv7SwmUxygFwvUXhURmGOv6Q32oqz6SKh7BPUG5pSD3MuWgoJL4sw5/buGblfDnwvfv38vP93HtGWSg7+dKMSM/en/JUB4jL6f5A9eG1e/kFSGfe8bcu3+X0oieMspYgdor8GdlPv8cOXLKH+W1l2nPc8tBh7QO2lmxzvOQQfzZO5UY+5DHQOS7JXOwMba0Z9nRxGk5GNvg8UqLD27tpyRuScj52lFp7YuHuw1zUvL4xJo1a0bt27eXt7jmfG5tOHnyZGWXcXmMHMSLaVufmBbGskyJMseyGhZbmIC3OZ1vQsdZi48FdwuOLXFgzhCJWwbyFDnZ2SUXY0vl0mRrr8N3TY7rnZM1O9JzJragoLKbVs2qUeECv9HsXzeJFnrF5c1HeIzBhnWryhaDRQvnVVaN9pGPlRRvbjxshSUkfevOUBb8gUGfDw36HJ+DrTymoJLSp0uvzEZ55DsV85QUSV/jxHh9aJ+PvsfV3iYu8xbwGvGOi0dir5suvZN4v3fSuVu+m3HkxF2SOZCoK/GdinnSlWI6jq71jZjnbcRjy7pAfUSoAaPWR4SSJM0To55vTK9TvB8kzQWgfRTUh7aGnPeOkmOkjBQpUsjWgpEPzz8aRL6RSeR1VPjcOz5l4h/beRzB6FJmPb7L8rZxDQzyNs6iF56SOPAal+CrrbJhQh5jGjyeB7xv3Lix7GrMt7zmgCCPHZUuXToaOnSoZhB67ovO/duVpKuVAd/4YsqUKcQt8HgAy169eskB6rnbcRxTXFqCecZh35HX5TFZ/MTkI6ak+C4tDoMEAQhAIGYBDgAu/WW4WGm4vBupPjcfiXmPWAoB8xHA68N86hJnAgEIQAACEIAABCCgn0CidO6ObfB4HniSA4jcBLRHjx7y9tU8AD53S+Ymp+/evaOePXvSjBkzYiz19u3bqUOHDnKd5s2byxuTcLNVAycfsX99Jk+x3jExceKg4F9iaiom7vTtIyYkCEAAAqoSULo8Ko+qKhwKAwEjCyivC+XRyMXB4SEAAQhAAAIQgAAEIGAwgUQJDmoPHs/jA/L4gaNGjdIUWhnwfvTo0fJGI9OmTaOBAweSi4uLHI+K74LM/c95zMHoEjdD5ZucXLlyRbY6dHR0lHd/adOmTXSbJHU+twysKiYEBZNaHseDAATiJaC5UcKXm8rEayfYCAJmKoDXh5lWLE4LAhCAAAQgAAEIQCCKQLy7FWsPns2Bu3Xr1tHMmTOjDB7P3YCV5OTkRAEBAcpT2TWYb1rC4wnyra+/DF4bZWBu7WP5+vrS7du3iffFg1mqJHmLcviIadyXR/GABAEIQEC9ApFbQ/FzQ4+Ppl4NlAwCEQXw+ojogWcQgAAEIAABCEAAAuYtkCgtBxUiHhi7QIECet9VkoOBrq6uchslMKjsK7pHHlCR74SsosAgF9VHTF5fHsUDEgQgkNgCL54/pfxZbKlbuyYRdv3wwV3at2uzJu/g3u10z++W5nlcZ7T3Fxj4QR7z7h3fuO5G9esrraKUgkZ+ruTj0bQF7t73o5yFs9LAEX0jnMj6zWuoUcu6EfJ0Pdl/aB/xPhI7+Zw4QnWaVk/s3Sba/iK/HiI/T7QDYUcQgAAEIAABCEAAAhBQgUCiBgdVcD7GKoKPsQ6M40LAUgR+372FUqexpyMHdtPLF880p3396mWaMXGE5vmcGePoyuVLmudxndHeX/LkKWjN9qOUSeuuT3HdnxrXj9wqSiljdPnKcjyarsDmHRvp7IUzmhMI08zFPDNr3gz6V7zGLClF9zqILt+SbHCuEIAABCAAAQhAAALmKYDgoHnWK84KAmYnsHnNMho8ajKlz5CJuHUgpwf37tCk0QPo/t3b1PuHb2n21LHEwb3JYwbRqeOHKTg4SAYOq5fPT01rlqU92zfI7T59+kjN61SgTWuXUb0qxYiXb1qzNMr+QkKCadZkMVbq65cUGhpK82dNoiolXaliEWeaPHYQffwYKPc3ckAXWrN8Pn3frLpcNl600uL11Zq4FZSjgz2VKJo/QhHROioCh1k9adm8NQ0bO1C8JoJ1ntcm8drglnwetSvQz79Mp5DQEJoxdypdu3GVJojX1e7fd8qWhg8fPZDbT5zmLfY3SM4HBQVRk9YN6P6De+R7+ya17NCc3Mrlk+tfuHRernPl2r/Urd8PtHDZ/CgtBgPeBlDnnu1p/pK5OsuW1Jl4fSS1OI4HAQhAAAIQgAAEIGBsAQQHjV0DOD4EIBCrwK2b12RrwDoNm1Ozlu1p26ZVcpv0GTPTt206yYBht77DqXGL1pQ9Z276tm1nKlSkOP1vqrfscjx49GRq/2Mf6t+tDZ09dUzezOjyXxdosWgVNWL8TKpQ2ZNGDuxK9mkdIuyPA3wXzp6kj4GBtGXdcrl+1z5DaM6SDbRv52Za8L/wMVVv+f5H44b3oRatO1HXPkNp9bJ5crtYT8wIK3DrJw4Kbls3gy79sVaWICzgAnkP7yLn0TrKe3C6ugAAG49JREFUCJWSBIfs3aUvBYrrePnqJVGOxl18B43sR63E62ey9zTauHUdzVs0h5o1aEE5XHLSd9+0pUrl3enpsyd0UbxueBzgtaJb8joxcbDx8tW/6YbvdcqQPiO1/aElpUiRglYuWENV3D2pXdfW9OLlc3r/4T3tO7iH1m9ZQx3Ea1ZJH0TX/Y7d28pg5A/tuirZRnvE68No9DgwBCAAAQhAAAIQgIARBRAcNCI+Dg0BCOgnsHvbBqpWqwGlE8GHmvWa0J/nTtFDMQ5aypSpKF/BIpQqdRoqXLQk5cpTQMynpjz5C5GDYzpa9Ms06jN4LNVp0JyafPs9NRFBjgN7tmkOOn7afHL3rCkDhJzJ4xpq70+zopjZIIIqHGBs07EHla3gQb0Hjaat61dqVuHjNG7RhjqIIEzREmXonkrHKazqUVoGBT3dS2vKzjN8MxIOEiKZp0CqVKlp/KifaNKM8fTI/2GEk1wlrmNuWdihTWdyr1iFBvQaTNtFN/7cufJQarFd3tz5KJ1TOqouXiscHPQTLXZTiC736dNloCv//UvnL56j2tXr0NmLZ8j/iT/Nn7mQypYqR4N6D5XHOXnmhOZ4y39dLYKQbeRzDhh26dNJBhgXzF5CdnZ2mvWMNYPXh7HkcVwIQAACEIAABCAAAWMK2Brz4Dg2BCAAgdgEuPXe+t8WyS683P03WHRh5PT7ri3UucfAaDd//vSxXDa4V3viSUn1Gn2jzFJWZxc5z2MZcgr6FL5v+STSn9uiZVT3fl/HNnTJkYse+4d3seRVnV1yaLZwFIGUoKBPmudqmokcFIxcNtyxOLKI+TyvVa0OVatag8aLbsJV3fkeWuHptp8vHfI5QBu2hLck5dzUIuAeOXlUqkqz580ULU9Liu09ydrKmv4UwcLT509Rk/rNiLsc58uTP8K2hUSg/vnz55Q1s7PMdxWvGyXdEzcT4omDjKEhIUq2UR/x+jAqPw4OAQhAAAIQgAAEIGAkAQQHjQSPw0IAAvoJcLdebtG3bP0+zZ3Qd4luj1tEa6eYgoPcRZjTgt+2U0WPanL+8aP7ZG1tI+f5j43N13lNZjQzRYqVoidawcA7t26Qh1ctzdo2Nng71WBgRrUCY4eNp6p1K9EH0WpPSQ4OTtS9cy/q22OAzHrz5g09E6+5yKl8mYpyDMKDR/cTBwr59cN3M+ZuyVPHzZR3NX70+JEcb5OXcffjazeu0QjRyjY09HPk3cmg4P5th6nht3Vo9q8/0yjR+hYJAhCAAAQgAAEIQAACEEh6AXQrTnpzHBECEIiDwE4xrlntBs1k998KorUTT607didfcaOEG+ImB9bW1vTh/TtNyyNbEaR78+olpRTdIUuULk+8Pbc25G7I7VvUpjMnj8Z49Mj7U1auUbcxbd3wm7z5Cd/oZPe29SI4WFtZjEcImIQAt9zjbsPH/vDRlNe9ogftP7xXjinIQcPRE4fTohW/yuU2tjb0+s1rOe/k6ETFi5SgPft3UanipWXXYW5xyK0Fs2TOQqVLhHdVXy9aIPINTY59ea0VFy0NdaVM4uZCGcXE3Z0Xr1ggA4+61kMeBCAAAQgkrcCGDRvoxImvQ0Ik7dFxNAhAAAIQMIYAgoPGUMcxIQABvQQCxc0K+I7C9Zu0jLC+mwhQZMnqQvv3bCWe51S3ajH56C4CdmOG9JA3IpkwfQH9ef40lSmQQd6VuGjJMtS8VQe5nq4/VlZWUfbH63F+vcbfyq7C3LW5cPZUxHc8btjsO127QR4EVC3QRQTXs2bOqiljlw7dRXDPmarUqUilPIrSE9Elf/iAUXJ51cpeNGLcEBkQ5AyvKtVl92AOCHKgkbsE81iEnGxtk9Gw/iPk+sUqFqL24gZA3qKlIgfs+TUUXeLuztwScdT4YdGtgnwIQAACEEhCgblz59KePXuS8Ig4FAQgAAEIGFsA/eCMXQM4PgQgEK0A33DkxuOoY5FxoOH4JT/Ndif/uifHJOSMgSMm0g+ie2QaewfZ7fHoeV+6K8ZU45uWcECRk22yZFH2q30cZX+Rj7/94AV6IG7GkEzcOCGrc3ZNwGP9zuNyv8qfpev2KrMW/ZguXTqLPn81nHzO7K5094p/hKKkTJGSzhz5U5OX1j4trV26UY4ZGCRa2eZyza25tof0G04cTLT/Mi5n/56DiCcl/XnisjIrH9t915GaiBsA+YvuxTmy5yQ+Fie+QcnVczflPP/xFF39eVLS6sXrlVk8qkDAyclJBaVAESAAAWMJnDx50liHxnEhAAEIQMBIAggOGgmeD7tyzA4jHh2H1iXQfnxjXdnIU7mAja0tKTcV4aLynYqVxMty5y2oPNXrMfL+lI14HLWcufIqT/EYg0Dgx0+UPn36GNZQxyIbGzSg55rggLtLtuw6K8XRwVFnfnSZHGzkCUl/gZhaVuq/l8Rd08kxfNzWxN0r9gYBCEAAAhCAAAQgoEYBBAeNXCv1O329Y6SRi2Lxh9+zLOax6CweCAAQiIPAC79DcVjbuKsGq+ROucZVwNGNJRAWcMFYh8ZxIQABCEAAAhCAAAQgIAXQZAIXAgQgAAEIWLRAMtG6FAkCEIAABCAAAQhAAAIQgIClCiA4aKk1j/OGAAQgAAEIQAACEIAABCAAAQhAAAIQsHgBBAct/hIAAAQgAAEIQAACEIAABCAAAQhAAAIQgIClCiA4aKk1j/OGAAQgAAEIQAACEIAABCAAAQhAAAIQsHgBBAct/hIAAAQgAAEIQAACEIAABCAAAQhAAAIQgIClCiA4aKk1j/OGAAQgAAEIQAACEIAABCAAAQhAAAIQsHgBBAct/hIAAAQgAAEIQAACEIAABCAAAQhAAAIQgIClCiA4aKk1j/OGQBIKpEmVPAmPhkNBAAKWJJDMztaSThfnCgEIQAACEIAABCAAgUQXwCfqRCfFDiEAAW2BN+8/0/ErV7WzMK+nQOqUdlQ4C37D0ZPLrFf7/DmM9iw7atbnmJCTs7HF6yQhftgWAhCAAAQgAAEIQMCyBRActOz6x9lDwOACP9RIIY7BE1J8BN58CIvPZtjGjASsbayo+9j8ZnRGOBUIQAACEIAABCAAAQhAQE0C+KldTbWBskAAAhCIJOCQyipSDp5amoA1/lNbWpXjfCEAAQhAAAIQgAAEIJCkAvjKkaTcOBgEIAABCEAAAhCAAAQgAAEIQAACEIAABNQjgOCgeuoCJYEABCAAAQhAAAIQgAAEIAABCEAAAhCAQJIKIDiYpNw4WGIJhIaGEk9IEIAABCAAAQhAAAIQgAAEIAABCEAAAvEXQHAw/nZG3fKPMycoZ+GsEabOPdvT6XN/xKtcgR8D5b787t2hoKAg2rh1HXGedn68dhxpI13lVs7jydPHkdaO/umYSSNo7sLZ0a+AJRCAAAQgAIEECnh6lE7gHrA5BCAAAeMJ5M6d+46Pj4/xCoAjQwACEICAyQjgbsUmU1URCxoWFn4H0wvH/iZrMVr9hw8faI4IlvUc2I3O+VwiW5u4VW1yu+S0ceU2ypwpC30I/ECDRw+gqu5elDFDJk1+xBLE75lS7pP7z0bZQYb0GaPkIQMCEICA2gU83UuT14mLai8myhdHAZ+TqNM4kmF1CEBAZQLv3r17m9RFGjduHHl4eGw4ceJEUh8ax4MABCAAgQQIoOVgAvDUsGn6dBmIp+wuOajT9z/Qi5fP6eatG7LL7dwFs6lCtVJUyqMoTZg6lj5+/CiLvP/QPmrZoTm5lctH/Yf3Jv7cEBISQjPmTKHXb15T176d5Xrtu7ahJ8+eaPI58+DR/VSjUVW57Y+9O5L/E3+57pqNq2jm3GnUb1gvebz23dqIsryQy3T94fJGnmxsbIj3M3GatywXl53n9x7YTV71K8vpyLFDmt3d8L1O37RrIsvSZ0hPehPwRrMMMxCAAASSUoBbmCGYlJTihj/WMRHw5cAvEgQgAAFTFXB0dBzu5eVFSdV6kI/j7e1Nvr6+j0zVDOWGAAQgYKkCCA6aeM0rXX8fPnpAazb8JgOF+fMUoI3b1tOvy+ZRjx9706+zFtOe/bvol8X/o5evXlKXvp2o3XcdaNH/ltK1/67Sui1rKfRzKJ27eFYEEAOpZ5c+UqV/z0GUOlVqTT4HHX/o1YGqVK5Ka5ZsoJDQEOo1sCtxa0DuEjxnwSzKlTM3TRw9mS5f+YdWb1gZre6OvdtIezpz/pRcl/ezeOVCyp4tB/XtMVDOj5ownPr3HExlSpWnsT+N0uyTz8mjUlWaNHoKnTx9nKbN/kmzDDMQgAAEIAABCEAAAhCwZIEbN27sdXNzW8QBQm7RZ6jEQUGe+Di5cuWa6+/vP8BQx8J+IQABCEDAMAJx63tqmDJgrwkQcCubV7N1ofxuNHX8DOIWeOs2rZYtCdt911Eu7ycCbbPnz6TWLdrK589fPCNPj2q0bP5vmhaFyo6KFS4uZ0sUK0nJkiVTsmnbri1UsnhpGjN0vMwbNXgsVWvgQf6PH8nn5UqXp77dwz8L/Hv1Mt26c0uzbeSZRct/jZBVVgT+KpStJPPKlCxLA3oNlvPT/zdFBjIb1WsiA488FmJISLBcxmXp062/nH8rWj9OmTWJJo2ZKp/jDwQgAIGkFBg7vAuNm7yIPPcsTMrD4lgGFPAW9RkWcMGAR8CuIQABCBhe4OrVq13t7e1fHj9+PK+VlVULQxwxb968d0QX5vdVq1Ydf+zYsU2GOAb2CQEIQAAChhVAcNCwvgbf+7F9p0j8o5djDGZzdtEcz/eOL/Xq2lfznLvwchdg56zZiIN6YyaNlFO1qjVEsE+/XxLv3vej0iIgp6RsWcOPp3QfzpndVVlE4kMIffwUqHkeeWbPpgORszTPXXPk0sw7pE1LHPTkpAQqQ0M/y+fuFT3kI/9xK1iY3r9/J7tTc3AUCQIQ0E8AN1zQzym2tbj7Kb+TctdidEWNTUv9yznQ6y0CvkgQgAAEzEHg7du3w48cOWKwUxHdiOW+Hz/W/+aCBisMdgwBCEAAAvESsBZ3sbrFzcAtIfF58vma07nmcMlJHJTTDgzy+RV1K0aPv4wHyM9v+92mqpU96dXrV1SzWm26eekurV++WY43OGveTF4l1lQwXyF66P9Qsx7f2ZhTgXwF5aN1IgXlbGwjxaxF8FNXeiW6SCvpzt3bxC0XERhURBLnkYMcPO4WknkKYIy8xK1Xbj3oVa9r4u4Ue0tyARkYFMFBrk8kCEAAAhCAAAQgAAEIWIKA9fv37z9Ywokq5yju6ht+Vw4lw0wfa1evQ5u3b6R7D+5ScHAw7RRj/FV1r0Y8NmG9FrXo8VN/qliuspzevguIoMB3P+YU+QYfXlWq0/FTx+j8n+fk8h17tlENz1pkZ2cnn8flz7UbVynypNwwRd/9bNu9lThAyee0fvMa4vIhJa5AVdxkIXFBVbY33HAhcSuEg+nc2swqbRnZxThx9469GVqAg+Ve9bvK1p9H96J7uKG9sX8IQAACEIAABCAAAfUI2BYvXvynYcOGLTlz5kxq9RTLMCXZt2/fq9SpUx81zN6Tdq/clTim1LBuY9q4dT151K4gVytepAQ1adBU3rDE091L5vNdjrnb7oxJszW74v2mtU9LPO5fzcaedPz303IZ5xcuVISqi27ILb5vTKlTp6EUyVPIMQs1G0easbaKer8bpdx1mkYN5P2+7XCkPYQ/jXyqyj7y5spLVeuGj1PIXY9bNP5W5/bIhAAEIJBUAtzaTBl/kIOEStdUDrSju3FS1YJ+x9FuOcutBX1EK2muL7QY1M8Pa0EAAhCAAAQgAAEImI+A7YEDB9aL01nHXW49PT3N58x0nMm0adOcRHZvHYtMLqtyBQ+6e8U/2nJnzJCJ9mw+QPcf3iO7ZHaUNYuzHJuQN5j/8yLZ2i4oOEje5EPZifb+tqzeKVsOOqR1iHCcudN/lWMWihanlCNHTjnWIW+v3EBE2Vf3zr2U2QiPsZVbGV9Q2ejonj+UWSqYv5CmLMqNRz59+kTPnj+V3aqVoKFmA8wkWICDGRhHLcGMqt0BbrhguKqJHGDi4JMXuugbDjwee1bG2+T3ufCgLiGAGw9HbAIBCEAAAhCAAAQgYPoCcnC3YsWKLRk6dGjLs2fP2pv+Kek+g379+t13c3PbK+7YpXsFM8zl8fe0b+6hfYqRxyjUXqbMc2BQV8qcKYuubKPkJU+enFyyZTfKsS3loEorKNyF1bxqHDdcMHx9agcIxxr+cDgCBCAAAQhAAAIQgAAEIACBeAnIfp///PPPj/dFEt2LX8drLyrfaMSIEe/FOZ4TgcFuKi8qigcB1QkoXSE5mIRkHgIyMIgbLphHZeIsIAABCEAAAhCAAAQgAAEIJFBAMyicv79/4dWrV/v379//UQL3qZrNuat02bJl34jxFH8/evRoC9UUDAWBgIkJHN0TPjg/D9aPIKGJVZ5WcXHDBS0MzEIAAhCAAAQgAAEIQAACEICAFJDdihWLhw8fuu3evXve7NmzewwfPvxtrVq1ZDdjUxqLkAOCnERrwcDTp0+nFF2J11+4cAEtBqUK/kAg/gKyi6Robcbj1CmJb7LASWldqOTjUR0CuOGCOuoBpYAABCAAAQhAAAIQgAAEIKBmgQjBQS6or69vT/HQc9WqVbNXrFhRM2XKlMlv376dR80noV223Llz3/rw4cPHChUqTBX5qyxpjEFtB8xDwBAC4YP2d9G0HjwmbrAgW6PhRguG4E7wPnHDhQQTYgcQgAAEIAABCEAAAhCAAATMXiBKcFA54wcPHvRT5k3pUQQyZXG3b99uSsVGWSFgUgK40YJJVRcKCwEIQAACEIAABCAAAQhAAAIQiFZAM+ZgtGtgAQQgAAEIQAACEIAABCAAAQhAAAIQgAAEIGCWAggOmmW14qQgAAEIQAACEIAABCAAAQhAAAIQgAAEIBC7AIKDsRthDQhAAAIQgAAEIAABCEAAAhCAAAQgAAEImKUAgoNmWa04KQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIxC6A4GDsRlgDAhCAAAQgAAEIQAACEIAABCAAAQhAAAJmKYDgoFlWK04KAhCAAAQgAAEIQAACEIAABCAAAQhAAAKxCyA4GLsR1oAABCAAAQhAAAIQgAAEIAABCEAAAhCAgFkKIDholtWKk4IABCAAAQhAAAIQgAAEIAABCEAAAhCAQOwCCA7GboQ1IAABCEAAAhCAAAQgAAEIQAACEIAABCBglgIIDpplteKkIAABCEAAAhCAAAQgAAEIQAACEIAABCAQu4Bt7KtgDUMJpEqTgm5e8jPU7rHfOAikFHWBBAEIQAACEIAABCAAAQhAAAIQgAAELE0AwUEj1fi71x8of1lXIx0dh40qEEZ5S+aImo0cCEAAAhCAAAQgAAEIQAACEIAABCBgxgIIDhqpctM4pqLiXgWMdHQcFgIQgAAEIAABCEAAAhCAAAQgAAEIQAACRBhzEFcBBCAAAQhAAAIQgAAEIAABCEAAAhCAAAQsVADBQQuteJw2BCAAAQhAAAIQgAAEIAABCEAAAhCAAAQQHMQ1AAEIQAACEIAABCAAAQhAAAIQgAAEIAABCxVAcNBCKx6nDQEIQAACEIAABCAAAQhAAAIQgAAEIAABBAdxDUAAAhCAAAQgAAEIQAACEIAABCAAATMVcHR0vObr62vSZ8fld3Jy+k9NJ5EidfJrLx6/VlOR4lwWLn/K1Mn/Q3AwznTYAAIQgAAEIAABCEAAAhCAAAQgAAEImIaAnZ3d8b17934yjdLqLuWNGzcCU6ZMeVL3UuPk2iSzOX7j4m2Tdn3x6FWgXfJkJxEcNM41hKNCAAIQgAAEIAABCCRQIFUy+xvP3j5M4F7Ma3P2SJXc/oYxzgr1EVXdmPURtTTmnYPrL2r9GvP6Q32oqz6eP3++/s6dO8lNufXgwYMHU3p7e/8YVdZ4OR/eBK5/+eRNclNuPXjzL7+UbUY2+hHBQeNdRzgyBCAAAQhAAAIQgEACBELCggMTsLlZbvr87QNKmSzNOWOcHOojqrox6yNqacw7B9df1Po15vWH+lBXfSxYsMAne/bsy3ft2vU2asnUn7N169Z7zs7OS9RW0u4zvvNxSG+//No5X5N0vXL25j2HdGmkK4KDaru6UB4IQAACEIAABCAAAb0ErKytBv/74KRJfiDX6wTjsVJwSNDTgMCXRmlOifqIWmHGrI+opTHvHFx/UevXmNcf6kNd9cGlGT16dCdra+udO3bsMMr/iKgisedwS8fZs2e/f/jw4Sm1tRpUSt9mRMNONtZWO6+e8zUZV27p+Meui+8Dnr07xa0G+VwQHFRqFI8QgAAEIAABCEAAAiYlMLT2/w4GBX96ga7F4dV27dFZuvnkUqbh9eYOM0ZFoj4iqhu7PiKWxvyf4fqLWMfGvv5QH+qqD6U0I0aMaHvr1q0D/fv3p927dweotZsxl2vu3Lkh8+bNo+Dg4HXDhg37TjkHNT62Gtqg7Uv/1wf2LDtK/124HaDWbsZcrtN7/gw5s/cShYZ+XtdqaD2Nq60aYVEmCEAAAhCAAAQgAAEI6CPgkCbdWNF68BevQi3t9VnfnNcJCgl6kNIuzVZjniPq46u+Gurja2ksYw7X39d6VsP1h/pQV30opeEWhGK+U6ZMmRZcvHixyuvXrwspy9TyyHclFq0cD4lpi2gx6KOWcsVUDm5BKJZ3Wjlh+4KHtx5X+fj+k+pc+a7EVsLVyspqy/cjG0VwtYrp5LAs8QS6dOkSNmvWrMTbIfaUJAL8i8qiRYuM8ToJCwu4kCTniINAAAIQgAAEkkrAKm0ZPlSi/1+dvn/A1RzpC2Yr4lIpbVKdi9qOc+XB6Q93X1y7N7j2z0b/MoL6IFJTfajtWjV0eXD9qev6Q32oqz4M/frD/k1XAN2KTbfuUHIIQAACEIAABCAAASEgAmJu91/eeHL14ZkgSwThQNS9l9cfqiEwyP6oD3XVh6W9JnD9qev6Q32oqz4s7f0A56u/ALoV62+FNSEAAQhAAAIQgAAEVCowqNaM/NxCJfhzUCo7m+Q5CzmXV2lJE69YPNbi5XsnAz6GvH+klsCgcnaoD+O34FTqwhIfcf2p6/pDfairPizxPQHnHLsAgoOxG2ENCEAAAhCAAAQgAAETEOAWKjMPDP7l/ac3PYNDgx4ls7FzzmDvQhnts5lA6fUronLzlcv3T74PDvn0zD6l04je1Ses02/rpF0L9ZG03jhaRAFcfxE9jP0M9WHsGsDxIRCzQKKP+RLz4Sx3KY85aLlnb9pnbqwxB01bDaWHAAQgAAEIRCuQJJ8/p+3rNz1lcvtMn4IDK34ICsgXbWlMbEGq5PY3QkNDPtpa240cWHv6blMpPurDVGrKPMuJ609d9Yr6UFd9oDQQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBgwQL/B6xLUrHY8Fr7AAAAAElFTkSuQmCC" + } + }, + "cell_type": "markdown", + "id": "52e3985a", + "metadata": {}, + "source": [ + "# Архитектура\n", + "![gpt1.png](attachment:image.png)" + ] + }, { "cell_type": "code", "execution_count": 1, @@ -177,13 +191,18 @@ ] }, { + "attachments": { + "image.png": { + "image/png": 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" + } + }, "cell_type": "markdown", "id": "ef121b7b", "metadata": {}, "source": [ "# Архитектура GPT-1: Принципы работы и ключевые компоненты\n", "\n", - "![](https://ucarecdn.com/b2551e49-de5c-490b-a371-9c4a81e35329/)\n", + "![gpt1.png](attachment:image.png)\n", "\n", "Модель **GPT-1 (Generative Pretrained Transformer)** — это первая версия архитектуры семейства GPT, основанная на **декодере трансформера**. \n", "Она была представлена исследователями **OpenAI** в 2018 году и стала основой для всех последующих моделей, включая GPT-2, GPT-3 и GPT-4. \n",