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      <image:title>Paper Reviews - Self Instruct: Aligning Language Models with Self-Generated Instructions - Make it stand out</image:title>
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      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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      <image:title>Paper Reviews - BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding - Make it stand out</image:title>
      <image:caption>Figure 1: BERT’s bi-directional transformer</image:caption>
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      <image:title>Paper Reviews - BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding - Make it stand out</image:title>
      <image:caption>Figure 3: Illustrations of fine-tuning BERT on different tasks</image:caption>
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      <image:title>Paper Reviews - BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding - Make it stand out</image:title>
      <image:caption>Figure 2: BERT input representation. The input embeddings are the sum of the token embeddings, the segmentation embeddings and the position embeddings,</image:caption>
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