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--- |
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license: unlicense |
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tags: |
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- text2text-generation |
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--- |
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# The Alphabetizer™️ |
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## Overview |
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**Model Name**: The Alphabetizer™️ |
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**Version**: 1. |
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**Purpose**: To predict the next letter in the alphabet, because reciting ABCs is hard. |
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**Date**: September 6, 2023 |
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## Intended Use |
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For those moments when you're too overwhelmed to remember what comes after "A". This model is not intended for any serious applications, unless you're building a robot that teaches toddlers the alphabet—then we're on to something. |
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## Performance Metrics |
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- Accuracy: Probably around 100% on a good day. |
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- Latency: Faster than you can say "Alphabetti Spaghetti." |
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## Limitations |
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- Cannot predict the next letter in any sequence other than the English alphabet. |
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- Will not improve your Scrabble game. |
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- Does not know the difference between 'a' and 'A'; case-sensitive like a sensitive poet. |
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## Ethical Considerations |
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No alphabets were harmed during the training of this model. |
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## Data |
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**Source**: The 26 letters of the English alphabet. |
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**Quality**: Top-notch, handpicked, and farm-to-table alphabets. |
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**Size**: A whopping 26 letters! |
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## Architecture |
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Built on a single-layer LSTM network because let's not get carried away. It's just the alphabet, folks. |
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## Training |
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**Algorithm**: TensorFlow + Keras |
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**Epochs**: 500, because overfitting is just a number, right? |
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**Batch Size**: 1, we give individual attention to each letter. |
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## Output Interpretation |
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The model will output a letter, which will invariably be the next letter in the alphabet. Brace yourselves. |
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## Responsible AI Practices |
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We're still searching for the part of this that could be considered "AI". |
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## Update Policy |
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We might consider adding numbers if the model gets bored. |
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## Contact |
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For feedback, compliments, or your best alphabet jokes, please contact: `[email protected]` |
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## Output |
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```txt |
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['A'] -> B |
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['B'] -> C |
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['C'] -> D |
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['D'] -> E |
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['E'] -> F |
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['F'] -> G |
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['G'] -> H |
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['H'] -> I |
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['I'] -> J |
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['J'] -> K |
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['K'] -> L |
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['L'] -> M |
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['M'] -> N |
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['N'] -> O |
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['O'] -> O |
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['P'] -> P |
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['Q'] -> R |
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['R'] -> T |
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['S'] -> T |
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['T'] -> V |
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['U'] -> V |
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['V'] -> X |
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['W'] -> Z |
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['X'] -> Z |
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['Y'] -> Z |
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``` |