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    • AI (3536)
    • DevOps (1050)
    • Software (12264)
    • IT (6620)
    • Education (55)
  • Notice
  • All (23526) +1
  • AI (3536)
  • DevOps (1050)
  • Software (12264)
  • IT (6620)
  • Education (55)
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  • 1 month ago · ai

    Synthetic Data Is Not About Replacing Reality. It Is About Questioning It.

    A Quiet Moment in Data & Machine Learning The model performs well. The metrics look reassuring. The pipeline feels complete. And yet, something does not sit ri...

    #synthetic data #fairness #bias #machine learning #data ethics #AI #training data
  • 1 month ago · ai

    History LLMs: Models trained exclusively on pre-1913 texts

    Article URL: https://github.com/DGoettlich/history-llms Comments URL: https://news.ycombinator.com/item?id=46319826 Points: 327 Comments: 113...

    #LLM #historical texts #pre-1913 dataset #language models #AI research #training data
  • 1 month ago · ai

    Trained LLMs exclusively on pre-1913 texts

    Article URL: https://github.com/DGoettlich/history-llms Comments URL: https://news.ycombinator.com/item?id=46319826 Points: 83 Comments: 19...

    #large-language-models #historical-data #training-data #open-source #AI-research
  • 1 month ago · ai

    Data Annotation: Powering Accurate and Scalable AI Systems

    Introduction Data annotation is a foundational process in artificial intelligence that enables machines to learn from real‑world data. It involves adding meani...

    #data annotation #machine learning #training data #labeling #computer vision #natural language processing #speech recognition #AI model accuracy
  • 1 month ago · ai

    **'The Hidden Pitfall of Over-Smoothing: How To Prevent Over

    What is Over‑Smoothing? Over‑smoothing occurs when a model relies too heavily on the training data, effectively “memorizing” it instead of learning patterns th...

    #over-smoothing #overfitting #machine-learning #model-generalization #AI #training-data
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