Applied Text Generation using GPT and KerasNLP in Python

Files Included :

1 - Introduction.mp4 (8.64 MB)
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2 - About this Project.mp4 (7.82 MB)
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3 - Why Should we Learn.mp4 (18.09 MB)
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4 - Applications.mp4 (17.66 MB)
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5 - Why Python Keras and Google Colab.mp4 (6.22 MB)
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10 - Activate GPU.mp4 (4.52 MB)
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11 - Checks the availability of the GPU.mp4 (3.15 MB)
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12 - Mounts Google Drive.mp4 (2.76 MB)
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13 - Install Keras NLP.mp4 (3 MB)
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14 - Importing necessary libraries.mp4 (3.52 MB)
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15 - Define the paths to the training and validation text files.mp4 (3.52 MB)
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16 - Loads training and validation datasets and applies filtering.mp4 (10.24 MB)
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17 - Computes the vocabulary.mp4 (6.52 MB)
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18 - Initializes the WordPieceTokenizer.mp4 (5.74 MB)
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19 - Initializes the StartEndPacker layer.mp4 (3.6 MB)
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20 - Defines a preprocess function.mp4 (3.9 MB)
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21 - Preprocesses the training dataset.mp4 (3.7 MB)
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22 - Preprocesses the validation dataset.mp4 (3.25 MB)
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23 - Creates an embedding layer.mp4 (5.31 MB)
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24 - Building the TransformerDecoder layers.mp4 (7.1 MB)
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25 - Creating and compiling the model.mp4 (6.34 MB)
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26 - Summary of the models architecture.mp4 (5.66 MB)
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27 - Training the model.mp4 (6.56 MB)
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28 - Saving the trained model weights.mp4 (6.52 MB)
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29 - Generates a prompt token.mp4 (3.43 MB)
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30 - Generate the logits for the next token.mp4 (5.68 MB)
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31 - Creates a GreedySampler instance for text generation.mp4 (8.59 MB)
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32 - Creates a BeamSampler instance for text generation.mp4 (4.09 MB)
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33 - Creates a RandomSampler instance for text generation.mp4 (3.59 MB)
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34 - Creates a TopKSampler instance for text generation.mp4 (3.57 MB)
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35 - Creates a TopPSampler instance for text generation.mp4 (3.65 MB)
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36 - Define a custom callback.mp4 (17.65 MB)
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6 - Setup the Working Directory.mp4 (6.37 MB)
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7 - What is inside the traintxt and validtxt.mp4 (11.49 MB)
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8 - What is inside the codeipynb.mp4 (3.44 MB)
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9 - Open the Project.mp4 (5.42 MB)
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