agentic mode
This commit is contained in:
1
.env
1
.env
@@ -2,6 +2,7 @@
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APP_PORT=8081
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APP_PORT=8081
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ENV=development
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ENV=development
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JWT_SECRET_KEY=DoormileSuperSecretJWTKey2026!
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JWT_SECRET_KEY=DoormileSuperSecretJWTKey2026!
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INTERNAL_API_KEY=doormile-internal-2024
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# PostgreSQL Database Configuration
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# PostgreSQL Database Configuration
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DB_HOST=31.97.228.132
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DB_HOST=31.97.228.132
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@@ -1,5 +1,5 @@
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# First Stage: Build the binary using golang base image
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# First Stage: Build the binary using golang base image
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FROM golang:1.24
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FROM golang:1.25
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RUN mkdir /app
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RUN mkdir /app
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ADD . /app/
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ADD . /app/
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13
doormile-abee7-66e9b8b66fb4.json
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13
doormile-abee7-66e9b8b66fb4.json
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@@ -0,0 +1,13 @@
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{
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"type": "service_account",
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"project_id": "doormile-abee7",
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"private_key_id": "66e9b8b66fb40961271f095dd924935eff19452b",
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"private_key": "-----BEGIN PRIVATE KEY-----\nMIIEvgIBADANBgkqhkiG9w0BAQEFAASCBKgwggSkAgEAAoIBAQDLBD8DlrQwvwo8\ngkW9j/z1+eLPZYAT2TA4xWT1l+i8LV5he8wZ2TjxJT385OGS+zjIVUHQKtvStdDB\no9/0NXnSC6n88puNhQp9xCRjxEU+FLiSnqJGRUzSO4pu+0TuukGsouDII6QhJFNf\ndmtTOMmjV4V+wAOLfbE3qI5kZQ5trqf8wNBPZKxp9fhrqHdP080HUbOs14jiSrHl\n3OYRj0ZhDTsavboV6QTbdJn5ivH19nboFfdzuJrS5ApMhLqIGdoSEqjjQj8t6f6I\nm1RgQMfztIZLRPliA5MyJieEDZZdy5mmDQDnqCP6zFtH+WRVBe9Lo2A7F+Rf1vv4\n8/5FRd3HAgMBAAECggEACmEEsbPGMYnKxa4pT5gpaA/m6xB23EzpvLVGxJGIGfq9\nzQENvbKPyTBMu32eFKwYSpGlRDW0uFCIRCYTIIKNYFItVhu3HSSUlTpuW9VgbtyT\nVRecFziaxVK68JKTAxttmRxYnpLH5NPdGU/OC9qm4F1smz7Iz5xU75ID+Zj7BFtm\nkjZsgU9ALT7ikm205KhjYepc16ZQODIvvGW8vdNwxaxNl+5+RpkXdq+NK3KiAjK4\noqsuvDRRcchHttXU/qhri7f4nT0VBIuMnPDtRWGEaWtgCt4urLFAD4fZE91i1SHe\n7vV0iYdS9lzjrwl3Umzcf4k0pSPN8Sky1ZjN9hvF5QKBgQD+p2NMePwHY4uksA98\nVWT6y6haM+rIGxSsBL06UnCGO4E1gEWd++G5osDNc9hQk29xFg64pyIPKovw/Qez\nZ+gyCySC8KJoC4q740mxqn1EmANHXAvxGUMgPHmeiX+j3i1MwJWG1w7uyLwQ2216\nEgHy6Mqzk3jLUnD8vXf08CAUxQKBgQDMFvrRwRwpqsLR2yHWiu8uWykU276m1mKI\n8saR/iQ+jXQ9NZsgVdOjaV9EIv7jLwzSwEcXHVh9+SB5pnlCOhovGmmiSIdLVr5f\n1XOyWY6n2NzM6tm2RXjWOnwpVviOtdAwVVWXQNwaNbRLMZZkv+0bpOwk7i/ONv2z\n1bNP5pHJGwKBgQCo8LeJxkG9TScZTMwZOjXRxEaeAQ9jTcP7EvHOvV51Twi7S6vj\n0XTAyN6L7qy1V/p41Z9SlV6dHSbV66euN+LtQEMqsyWrTOzvFSyQt4B/fzG9p60s\neAv2WOh+as3JEt6Oqr0IRahcdcN+k3Qfpc6xLgs78zwR91GJ+tCYKK2/2QKBgBNX\nfi/Q0F12jH4c+Wj+w8ot44fRh5ECMlZuQ7lkT4UKHOEMKoZ2+9a5zsiDVIqtU9bJ\nWDNtmYxexuAgkc9f+ElMhIRXwVK3htVIQm29pRJtMAfPnhBzJw+OfWPhlS7ZNkDO\nZY0vHWzyeALEUU99DPiYubSKSkeN2J9pelPxMxHPAoGBAOOTd5XJRQOnFpd0eVwE\nlJ65zeQyT82V1OX/OPLKOcFwzNNKYF0Toto98nLK5rqqAGNUPp0fBMdUi7b76i79\nwve7aEZtCQWbhQsOUXsWocZyr8w5EexYtbxWa6q7jzmJaL/UfagE8pZWUI2k59CN\nRajHiJG83UxGMUN8KbSgv7h7\n-----END PRIVATE KEY-----\n",
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"client_email": "firebase-adminsdk-fbsvc@doormile-abee7.iam.gserviceaccount.com",
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"client_id": "108510619961572391178",
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"auth_uri": "https://accounts.google.com/o/oauth2/auth",
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"token_uri": "https://oauth2.googleapis.com/token",
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"auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
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"client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/firebase-adminsdk-fbsvc%40doormile-abee7.iam.gserviceaccount.com",
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"universe_domain": "googleapis.com"
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}
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5
scratch/icon_class.svg
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5
scratch/icon_class.svg
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@@ -0,0 +1,5 @@
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="#ffffff" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
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<rect x="3" y="3" width="18" height="18" rx="2" ry="2"></rect>
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<line x1="3" y1="9" x2="21" y2="9"></line>
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<line x1="9" y1="21" x2="9" y2="9"></line>
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</svg>
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After Width: | Height: | Size: 316 B |
3
scratch/icon_data.svg
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3
scratch/icon_data.svg
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@@ -0,0 +1,3 @@
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="#ffffff" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
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<polygon points="22 3 2 3 10 12.46 10 19 14 21 14 12.46 22 3"></polygon>
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</svg>
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After Width: | Height: | Size: 236 B |
5
scratch/icon_decision.svg
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5
scratch/icon_decision.svg
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@@ -0,0 +1,5 @@
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="#ffffff" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
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<circle cx="12" cy="12" r="10"></circle>
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<path d="M12 16v-4"></path>
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<path d="M12 8h.01"></path>
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</svg>
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After Width: | Height: | Size: 264 B |
141
scratch/pptx_output.txt
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141
scratch/pptx_output.txt
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@@ -0,0 +1,141 @@
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--- SLIDE 2 ---
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Shape 0: AUTO_SHAPE (1) | Text 0 | has_text_frame: True
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Text: '02 / MISSION'
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Shape 1: AUTO_SHAPE (1) | Text 1 | has_text_frame: True
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Text: 'About DoorMile'
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Shape 2: AUTO_SHAPE (1) | Text 2 | has_text_frame: True
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Text: 'Pioneering the next evolution of logistics through precision engineering and sustainable innovation.'
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Shape 3: AUTO_SHAPE (1) | Shape 3 | has_text_frame: True
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Text: ''
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Shape 4: AUTO_SHAPE (1) | Shape 4 | has_text_frame: True
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Text: ''
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Shape 5: PICTURE (13) | Image 0 | has_text_frame: False
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Picture found
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Shape 6: AUTO_SHAPE (1) | Text 5 | has_text_frame: True
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Text: 'First Mile Delivery'
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Shape 7: AUTO_SHAPE (1) | Text 6 | has_text_frame: True
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Text: 'Seamless integration from manufacturing to hub.'
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Shape 8: AUTO_SHAPE (1) | Shape 7 | has_text_frame: True
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Text: ''
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Shape 9: AUTO_SHAPE (1) | Shape 8 | has_text_frame: True
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Text: ''
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Shape 10: PICTURE (13) | Image 1 | has_text_frame: False
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Picture found
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Shape 11: AUTO_SHAPE (1) | Text 9 | has_text_frame: True
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Text: 'Mid Mile Transportation'
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Shape 12: AUTO_SHAPE (1) | Text 10 | has_text_frame: True
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Text: 'Optimized transit between strategic distribution nodes.'
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Shape 13: AUTO_SHAPE (1) | Shape 11 | has_text_frame: True
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Text: ''
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Shape 14: AUTO_SHAPE (1) | Shape 12 | has_text_frame: True
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Text: ''
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Shape 15: PICTURE (13) | Image 2 | has_text_frame: False
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Picture found
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Shape 16: AUTO_SHAPE (1) | Text 13 | has_text_frame: True
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Text: 'Last Mile Delivery'
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Shape 17: AUTO_SHAPE (1) | Text 14 | has_text_frame: True
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Text: 'Hyper-local fulfillment with surgical precision.'
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Shape 18: AUTO_SHAPE (1) | Shape 15 | has_text_frame: True
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Text: ''
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Shape 19: AUTO_SHAPE (1) | Shape 16 | has_text_frame: True
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Text: ''
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Shape 20: PICTURE (13) | Image 3 | has_text_frame: False
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Picture found
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Shape 21: AUTO_SHAPE (1) | Text 17 | has_text_frame: True
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Text: 'EV Native Logistics'
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Shape 22: AUTO_SHAPE (1) | Text 18 | has_text_frame: True
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Text: 'Zero-emission fleet operations by design.'
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Shape 23: AUTO_SHAPE (1) | Shape 19 | has_text_frame: True
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Text: ''
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Shape 24: AUTO_SHAPE (1) | Shape 20 | has_text_frame: True
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Text: ''
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|
Shape 25: PICTURE (13) | Image 4 | has_text_frame: False
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Picture found
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Shape 26: AUTO_SHAPE (1) | Text 21 | has_text_frame: True
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Text: 'AI Driven Operations'
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Shape 27: AUTO_SHAPE (1) | Text 22 | has_text_frame: True
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Text: 'Self-healing supply chains powered by neural networks.'
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Shape 28: AUTO_SHAPE (1) | Shape 23 | has_text_frame: True
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Text: ''
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Shape 29: AUTO_SHAPE (1) | Text 24 | has_text_frame: True
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Text: 'Goal: Create an intelligent and efficient logistics ecosystem.'
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Shape 30: PICTURE (13) | Image 5 | has_text_frame: False
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Picture found
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Shape 31: AUTO_SHAPE (1) | Shape 25 | has_text_frame: True
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Text: ''
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Shape 32: AUTO_SHAPE (1) | Shape 26 | has_text_frame: True
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Text: ''
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Shape 33: AUTO_SHAPE (1) | Text 27 | has_text_frame: True
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Text: '● System Operational'
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Shape 34: AUTO_SHAPE (1) | Text 28 | has_text_frame: True
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Text: 'Visualizing the hyper-connected flow of our Supply Chain.'
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Shape 35: AUTO_SHAPE (1) | Shape 29 | has_text_frame: True
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Text: ''
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Shape 36: AUTO_SHAPE (1) | Text 30 | has_text_frame: True
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|
Text: 'EFFICIENCY +42%'
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Shape 37: AUTO_SHAPE (1) | Text 31 | has_text_frame: True
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|
Text: '02/10'
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|
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--- SLIDE 7 ---
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Shape 0: AUTO_SHAPE (1) | Text 0 | has_text_frame: True
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Text: '07 / INNOVATION FRAMEWORK'
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Shape 1: AUTO_SHAPE (1) | Text 1 | has_text_frame: True
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|
Text: 'AI Pipeline I Will Work On'
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Shape 2: AUTO_SHAPE (1) | Text 2 | has_text_frame: True
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|
Text: 'End-to-end pipeline transforming unstructured global shipping data into actionable real-time decisio'
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|
Shape 3: PICTURE (13) | Image 0 | has_text_frame: False
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||||||
|
Picture found
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||||||
|
Shape 4: AUTO_SHAPE (1) | Shape 3 | has_text_frame: True
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|
Text: ''
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||||||
|
Shape 5: AUTO_SHAPE (1) | Shape 4 | has_text_frame: True
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||||||
|
Text: ''
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||||||
|
Shape 6: AUTO_SHAPE (1) | Text 5 | has_text_frame: True
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|
Text: 'Classification Algorithms'
|
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|
Shape 7: AUTO_SHAPE (1) | Text 6 | has_text_frame: True
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|
Text: 'Random Forests, Gradient Boosted Trees, and Neural Networks to categorize delivery status and risk p'
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|
Shape 8: AUTO_SHAPE (1) | Shape 7 | has_text_frame: True
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||||||
|
Text: ''
|
||||||
|
Shape 9: AUTO_SHAPE (1) | Text 8 | has_text_frame: True
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||||||
|
Text: 'TENSORFLOW'
|
||||||
|
Shape 10: AUTO_SHAPE (1) | Shape 9 | has_text_frame: True
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||||||
|
Text: ''
|
||||||
|
Shape 11: AUTO_SHAPE (1) | Text 10 | has_text_frame: True
|
||||||
|
Text: 'SCIKIT-LEARN'
|
||||||
|
Shape 12: AUTO_SHAPE (1) | Shape 11 | has_text_frame: True
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||||||
|
Text: ''
|
||||||
|
Shape 13: AUTO_SHAPE (1) | Shape 12 | has_text_frame: True
|
||||||
|
Text: ''
|
||||||
|
Shape 14: AUTO_SHAPE (1) | Text 13 | has_text_frame: True
|
||||||
|
Text: 'Data Preprocessing'
|
||||||
|
Shape 15: AUTO_SHAPE (1) | Text 14 | has_text_frame: True
|
||||||
|
Text: 'Automated cleaning cycles handling outlier detection, missing value imputation, and noise filtering '
|
||||||
|
Shape 16: AUTO_SHAPE (1) | Shape 15 | has_text_frame: True
|
||||||
|
Text: ''
|
||||||
|
Shape 17: AUTO_SHAPE (1) | Text 16 | has_text_frame: True
|
||||||
|
Text: 'PANDAS'
|
||||||
|
Shape 18: AUTO_SHAPE (1) | Shape 17 | has_text_frame: True
|
||||||
|
Text: ''
|
||||||
|
Shape 19: AUTO_SHAPE (1) | Text 18 | has_text_frame: True
|
||||||
|
Text: 'NUMPY'
|
||||||
|
Shape 20: AUTO_SHAPE (1) | Shape 19 | has_text_frame: True
|
||||||
|
Text: ''
|
||||||
|
Shape 21: AUTO_SHAPE (1) | Shape 20 | has_text_frame: True
|
||||||
|
Text: ''
|
||||||
|
Shape 22: AUTO_SHAPE (1) | Text 21 | has_text_frame: True
|
||||||
|
Text: 'Decision Intelligence'
|
||||||
|
Shape 23: AUTO_SHAPE (1) | Text 22 | has_text_frame: True
|
||||||
|
Text: 'Translating model outputs into prescriptive actions, optimizing route efficiency and predictive main'
|
||||||
|
Shape 24: AUTO_SHAPE (1) | Shape 23 | has_text_frame: True
|
||||||
|
Text: ''
|
||||||
|
Shape 25: AUTO_SHAPE (1) | Text 24 | has_text_frame: True
|
||||||
|
Text: 'PYTORCH'
|
||||||
|
Shape 26: AUTO_SHAPE (1) | Shape 25 | has_text_frame: True
|
||||||
|
Text: ''
|
||||||
|
Shape 27: AUTO_SHAPE (1) | Text 26 | has_text_frame: True
|
||||||
|
Text: 'FAISS'
|
||||||
|
Shape 28: AUTO_SHAPE (1) | Shape 27 | has_text_frame: True
|
||||||
|
Text: ''
|
||||||
|
Shape 29: AUTO_SHAPE (1) | Text 28 | has_text_frame: True
|
||||||
|
Text: '● LIVE TELEMETRY — Analyzing over 4.2M data points daily across our global distribution network. '
|
||||||
|
Shape 30: AUTO_SHAPE (1) | Text 29 | has_text_frame: True
|
||||||
|
Text: '07/10'
|
||||||
102
scratch/pptx_output_boxes.txt
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102
scratch/pptx_output_boxes.txt
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|
--- SLIDE 2 ---
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|
Shape 0: AUTO_SHAPE (1) | Text 0 | L:365760, T:182880, W:2743200, H:201168
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|
Shape 1: AUTO_SHAPE (1) | Text 1 | L:365760, T:384048, W:5029200, H:502920
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|
Shape 2: AUTO_SHAPE (1) | Text 2 | L:365760, T:896112, W:4937760, H:384048
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||||||
|
Shape 3: AUTO_SHAPE (1) | Shape 3 | L:365760, T:1371600, W:4937760, H:585216
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|
Shape 4: AUTO_SHAPE (1) | Shape 4 | L:365760, T:1371600, W:475488, H:585216
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|
Shape 5: PICTURE (13) | Image 0 | L:420624, T:1490472, W:347472, H:347472
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||||||
|
Shape 6: AUTO_SHAPE (1) | Text 5 | L:969264, T:1444752, W:4206240, H:219456
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|
Shape 7: AUTO_SHAPE (1) | Text 6 | L:969264, T:1664208, W:4206240, H:219456
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|
Shape 8: AUTO_SHAPE (1) | Shape 7 | L:365760, T:2029968, W:4937760, H:585216
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|
Shape 9: AUTO_SHAPE (1) | Shape 8 | L:365760, T:2029968, W:475488, H:585216
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|
Shape 10: PICTURE (13) | Image 1 | L:420624, T:2148840, W:347472, H:347472
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|
Shape 11: AUTO_SHAPE (1) | Text 9 | L:969264, T:2103120, W:4206240, H:219456
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|
Shape 12: AUTO_SHAPE (1) | Text 10 | L:969264, T:2322576, W:4206240, H:219456
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||||||
|
Shape 13: AUTO_SHAPE (1) | Shape 11 | L:365760, T:2688336, W:4937760, H:585216
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|
Shape 14: AUTO_SHAPE (1) | Shape 12 | L:365760, T:2688336, W:475488, H:585216
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|
Shape 15: PICTURE (13) | Image 2 | L:420624, T:2807208, W:347472, H:347472
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|
Shape 16: AUTO_SHAPE (1) | Text 13 | L:969264, T:2761488, W:4206240, H:219456
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|
Shape 17: AUTO_SHAPE (1) | Text 14 | L:969264, T:2980944, W:4206240, H:219456
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||||||
|
Shape 18: AUTO_SHAPE (1) | Shape 15 | L:365760, T:3346704, W:4937760, H:585216
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|
Shape 19: AUTO_SHAPE (1) | Shape 16 | L:365760, T:3346704, W:475488, H:585216
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|
Shape 20: PICTURE (13) | Image 3 | L:420624, T:3465576, W:347472, H:347472
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|
Shape 21: AUTO_SHAPE (1) | Text 17 | L:969264, T:3419856, W:4206240, H:219456
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||||||
|
Shape 22: AUTO_SHAPE (1) | Text 18 | L:969264, T:3639312, W:4206240, H:219456
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||||||
|
Shape 23: AUTO_SHAPE (1) | Shape 19 | L:365760, T:4005072, W:4937760, H:585216
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|
Shape 24: AUTO_SHAPE (1) | Shape 20 | L:365760, T:4005072, W:475488, H:585216
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||||||
|
Shape 25: PICTURE (13) | Image 4 | L:420624, T:4123944, W:347472, H:347472
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||||||
|
Shape 26: AUTO_SHAPE (1) | Text 21 | L:969264, T:4078224, W:4206240, H:219456
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Shape 27: AUTO_SHAPE (1) | Text 22 | L:969264, T:4297680, W:4206240, H:219456
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Shape 28: AUTO_SHAPE (1) | Shape 23 | L:365760, T:4709160, W:4937760, H:274320
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Shape 29: AUTO_SHAPE (1) | Text 24 | L:365760, T:4709160, W:4937760, H:274320
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Shape 30: PICTURE (13) | Image 5 | L:5532120, T:274320, W:3383280, H:4206240
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Shape 31: AUTO_SHAPE (1) | Shape 25 | L:5532120, T:274320, W:3383280, H:4206240
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Shape 32: AUTO_SHAPE (1) | Shape 26 | L:5623560, T:3657600, W:3200400, H:685800
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Shape 33: AUTO_SHAPE (1) | Text 27 | L:5715000, T:3703320, W:3017520, H:201168
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Shape 34: AUTO_SHAPE (1) | Text 28 | L:5715000, T:3904488, W:3017520, H:347472
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Shape 35: AUTO_SHAPE (1) | Shape 29 | L:8138160, T:274320, W:777240, H:347472
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Shape 36: AUTO_SHAPE (1) | Text 30 | L:8138160, T:274320, W:777240, H:347472
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Shape 37: AUTO_SHAPE (1) | Text 31 | L:8549640, T:4937760, W:548640, H:164592
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--- SLIDE 7 ---
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Shape 0: AUTO_SHAPE (1) | Text 0 | L:320040, T:164592, W:4572000, H:201168
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Text: '07 / INNOVATION FRAMEWORK'
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Shape 1: AUTO_SHAPE (1) | Text 1 | L:320040, T:347472, W:8503920, H:475488
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Text: 'AI Pipeline I Will Work On'
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Shape 2: AUTO_SHAPE (1) | Text 2 | L:320040, T:804672, W:8229600, H:274320
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Text: 'End-to-end pipeline transforming unstructured global shipping data into actionable real-time decisio'
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Shape 3: PICTURE (13) | Image 0 | L:320040, T:1188720, W:8503920, H:1143000
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Shape 4: AUTO_SHAPE (1) | Shape 3 | L:320040, T:2487168, W:2816352, H:1828800
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Text: ''
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Shape 5: AUTO_SHAPE (1) | Shape 4 | L:457200, T:2578608, W:228600, H:228600
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Text: ''
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Shape 6: AUTO_SHAPE (1) | Text 5 | L:777240, T:2542032, W:2240280, H:329184
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Text: 'Classification Algorithms'
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Shape 7: AUTO_SHAPE (1) | Text 6 | L:457200, T:2926080, W:2578608, H:822960
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Text: 'Random Forests, Gradient Boosted Trees, and Neural Networks to categorize delivery status and risk p'
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Shape 8: AUTO_SHAPE (1) | Shape 7 | L:457200, T:3840480, W:1188720, H:274320
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Text: ''
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Shape 9: AUTO_SHAPE (1) | Text 8 | L:457200, T:3840480, W:1188720, H:274320
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Text: 'TENSORFLOW'
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Shape 10: AUTO_SHAPE (1) | Shape 9 | L:1737360, T:3840480, W:1188720, H:274320
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Text: ''
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Shape 11: AUTO_SHAPE (1) | Text 10 | L:1737360, T:3840480, W:1188720, H:274320
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Text: 'SCIKIT-LEARN'
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Shape 12: AUTO_SHAPE (1) | Shape 11 | L:3264408, T:2487168, W:2816352, H:1828800
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Text: ''
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Shape 13: AUTO_SHAPE (1) | Shape 12 | L:3401568, T:2578608, W:228600, H:228600
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Text: ''
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Shape 14: AUTO_SHAPE (1) | Text 13 | L:3721608, T:2542032, W:2240280, H:329184
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Text: 'Data Preprocessing'
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Shape 15: AUTO_SHAPE (1) | Text 14 | L:3401568, T:2926080, W:2578608, H:822960
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Text: 'Automated cleaning cycles handling outlier detection, missing value imputation, and noise filtering '
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Shape 16: AUTO_SHAPE (1) | Shape 15 | L:3401568, T:3840480, W:1188720, H:274320
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Text: ''
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Shape 17: AUTO_SHAPE (1) | Text 16 | L:3401568, T:3840480, W:1188720, H:274320
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Text: 'PANDAS'
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Shape 18: AUTO_SHAPE (1) | Shape 17 | L:4681728, T:3840480, W:1188720, H:274320
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Text: ''
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Shape 19: AUTO_SHAPE (1) | Text 18 | L:4681728, T:3840480, W:1188720, H:274320
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Text: 'NUMPY'
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Shape 20: AUTO_SHAPE (1) | Shape 19 | L:6208776, T:2487168, W:2816352, H:1828800
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Text: ''
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Shape 21: AUTO_SHAPE (1) | Shape 20 | L:6345936, T:2578608, W:228600, H:228600
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Text: ''
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Shape 22: AUTO_SHAPE (1) | Text 21 | L:6665976, T:2542032, W:2240280, H:329184
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Text: 'Decision Intelligence'
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Shape 23: AUTO_SHAPE (1) | Text 22 | L:6345936, T:2926080, W:2578608, H:822960
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Text: 'Translating model outputs into prescriptive actions, optimizing route efficiency and predictive main'
|
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Shape 24: AUTO_SHAPE (1) | Shape 23 | L:6345936, T:3840480, W:1188720, H:274320
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Text: ''
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Shape 25: AUTO_SHAPE (1) | Text 24 | L:6345936, T:3840480, W:1188720, H:274320
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Text: 'PYTORCH'
|
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Shape 26: AUTO_SHAPE (1) | Shape 25 | L:7626096, T:3840480, W:1188720, H:274320
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Text: ''
|
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Shape 27: AUTO_SHAPE (1) | Text 26 | L:7626096, T:3840480, W:1188720, H:274320
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Text: 'FAISS'
|
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Shape 28: AUTO_SHAPE (1) | Shape 27 | L:320040, T:4462272, W:8503920, H:502920
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Text: ''
|
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Shape 29: AUTO_SHAPE (1) | Text 28 | L:457200, T:4462272, W:8321040, H:502920
|
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|
Text: '● LIVE TELEMETRY — Analyzing over 4.2M data points daily across our global distribution network. '
|
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|
Shape 30: AUTO_SHAPE (1) | Text 29 | L:8549640, T:4956048, W:548640, H:164592
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|
Text: '07/10'
|
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Reference in New Issue
Block a user