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  1. Reinforced Self-Training (ReST) for Language Modeling (Paper Explained)

    Reinforced Self-Training (ReST) for Language Modeling (Paper Explained)

    72
  2. Meta's AI Trained on Your Facebook & Instagram Posts Since 2007!

    Meta's AI Trained on Your Facebook & Instagram Posts Since 2007!

    8
  3. Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution (Paper Explained)

    Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution (Paper Explained)

    2
    0
    61
  4. The 5 Best AI Businesses To Start With ChatGPT ($1000+ Per Day)

    The 5 Best AI Businesses To Start With ChatGPT ($1000+ Per Day)

    2
  5. Symbolic Knowledge Distillation: from General Language Models to Commonsense Models (Explained)

    Symbolic Knowledge Distillation: from General Language Models to Commonsense Models (Explained)

    557
  6. [ML News] Nvidia renders CEO | Jurassic-1 larger than GPT-3 | Tortured Phrases reveal Plagiarism

    [ML News] Nvidia renders CEO | Jurassic-1 larger than GPT-3 | Tortured Phrases reveal Plagiarism

    68
  7. AlphaCode - with the authors!

    AlphaCode - with the authors!

    17
  8. #289 Deep learning (AI)

    #289 Deep learning (AI)

    13
  9. Efficient Streaming Language Models with Attention Sinks (Paper Explained)

    Efficient Streaming Language Models with Attention Sinks (Paper Explained)

    55
  11. StableLM: The New (Open Source) ChatGPT Competitor - Discussion + Try It FREE

    StableLM: The New (Open Source) ChatGPT Competitor - Discussion + Try It FREE

    169
  12. Yann LeCun - Self-Supervised Learning: The Dark Matter of Intelligence (FAIR Blog Post Explained)

    Yann LeCun - Self-Supervised Learning: The Dark Matter of Intelligence (FAIR Blog Post Explained)

    33
  13. Weekend Edition 24 – From AI to Revivals, It’s been a Helluva Week

    Weekend Edition 24 – From AI to Revivals, It’s been a Helluva Week

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    1K
  14. One Model For All The Tasks - BLIP (Author Interview)

    One Model For All The Tasks - BLIP (Author Interview)

    27
  15. VOS: Learning What You Don't Know by Virtual Outlier Synthesis (Paper Explained)

    VOS: Learning What You Don't Know by Virtual Outlier Synthesis (Paper Explained)

    2
    0
    29
  16. LLaMA: Open and Efficient Foundation Language Models (Paper Explained)

    LLaMA: Open and Efficient Foundation Language Models (Paper Explained)

    34
  17. My thoughts on ChatGPT - PULL THE PLUG BEFORE IT LAYS EGGS!!!

    My thoughts on ChatGPT - PULL THE PLUG BEFORE IT LAYS EGGS!!!

    7
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    276
    1
  18. BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding&Generation

    BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding&Generation

    22
  19. [ML News] DeepMind controls fusion | Yann LeCun's JEPA architecture | US: AI can't copyright its art

    [ML News] DeepMind controls fusion | Yann LeCun's JEPA architecture | US: AI can't copyright its art

    46
  20. Stable Beluga 2 Outperforms Llama 2 🐋 - Leading Open Source LLM Model!

    Stable Beluga 2 Outperforms Llama 2 🐋 - Leading Open Source LLM Model!

    179
  21. [ML News] Google introduces Pathways | OpenAI solves Math Problems | Meta goes First Person

    [ML News] Google introduces Pathways | OpenAI solves Math Problems | Meta goes First Person

    59
  22. [ML News] DeepMind does Nowcasting | The Guardian's shady reporting | AI finishes Beethoven's 10th

    [ML News] DeepMind does Nowcasting | The Guardian's shady reporting | AI finishes Beethoven's 10th

    46
  23. AI Imagined images from the Hubble Telescope

    AI Imagined images from the Hubble Telescope

    21