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Tag: model training methodologies

  • Hacker News: Meta must defend claim it stripped copyright info from Llama’s training fodder

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    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/03/11/meta_dmca_copyright_removal_case/ Source: Hacker News Title: Meta must defend claim it stripped copyright info from Llama’s training fodder Feedly Summary: Comments AI Summary and Description: Yes Summary: A federal judge has ruled that Meta must face claims of copyright infringement related to the removal of copyright management information (CMI) from materials used to train…

  • OpenAI : Introducing GPT-4.5

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    Kurt Seifried
    in

    Source URL: https://openai.com/index/introducing-gpt-4-5 Source: OpenAI Title: Introducing GPT-4.5 Feedly Summary: We’re releasing a research preview of GPT‑4.5—our largest and best model for chat yet. GPT‑4.5 is a step forward in scaling up pretraining and post-training. AI Summary and Description: Yes Summary: The text announces the release of a research preview for GPT-4.5, highlighting advancements in…

  • Hacker News: Has DeepSeek improved the Transformer architecture

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    Kurt Seifried
    in

    Source URL: https://epoch.ai/gradient-updates/how-has-deepseek-improved-the-transformer-architecture Source: Hacker News Title: Has DeepSeek improved the Transformer architecture Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the innovative architectural advancements in DeepSeek v3, a new AI model that boasts state-of-the-art performance with significantly reduced training times and computational demands compared to its predecessor, Llama 3. Key…

  • Hacker News: Experiment with LLMs and Random Walk on a Grid

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    system automation
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    Source URL: https://github.com/attentionmech/TILDNN/blob/main/articles/2024-12-22/A00002.md Source: Hacker News Title: Experiment with LLMs and Random Walk on a Grid Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text describes an experimental exploration of the random walk behavior of various language models, specifically the gemma2:9b model compared to others. The author investigates the unexpected behavior of gemma2:9b,…

  • Hacker News: Training LLMs to Reason in a Continuous Latent Space

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    system automation
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    Source URL: https://arxiv.org/abs/2412.06769 Source: Hacker News Title: Training LLMs to Reason in a Continuous Latent Space Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces a novel approach for enhancing reasoning capabilities in large language models (LLMs) through a technique called Coconut, which utilizes a continuous latent space for reasoning rather than…