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JoaoLages/README.md

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Hi there πŸ‘‹

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  1. diffusers-interpret diffusers-interpret Public

    Diffusers-Interpret πŸ€—πŸ§¨πŸ•΅οΈβ€β™€οΈ: Model explainability for πŸ€— Diffusers. Get explanations for your generated images.

    Jupyter Notebook 277 14

  2. RATransformers RATransformers Public

    RATransformers 🐭- Make your transformer (like BERT, RoBERTa, GPT-2 and T5) Relation Aware!

    Python 42 5

  3. jalammar/ecco jalammar/ecco Public

    Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, B…

    Jupyter Notebook 2.1k 175

  4. Reinforcement Learning from Human Fe... Reinforcement Learning from Human Feedback (RLHF) - a simplified explanation
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    **Maybe you've heard about this technique but you haven't completely understood it, especially the PPO part. This explanation might help.**
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    We will focus on text-to-text language models πŸ“, such as GPT-3, BLOOM, and T5. Models like BERT, which are encoder-only, are not addressed. 
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    Reinforcement Learning from Human Feedback (RLHF) has been successfully applied in ChatGPT, hence its major increase in popularity. πŸ“ˆ
  5. Mahalanobis distance: Measure the di... Mahalanobis distance: Measure the distance of your datapoint to a list of datapoints!
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    <!DOCTYPE html>
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    <html>
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    <head><meta charset="utf-8" />
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    <meta name="viewport" content="width=device-width, initial-scale=1.0">
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