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Tag: encoder

  • Simon Willison’s Weblog: Magistral 1.2

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Sep/19/magistral/ Source: Simon Willison’s Weblog Title: Magistral 1.2 Feedly Summary: Mistral quietly released two new models yesterday: Magistral Small 1.2 (Apache 2.0, 96.1 GB on Hugging Face) and Magistral Medium 1.2 (not open weights same as Mistral’s other “medium" models.) Despite being described as "minor updates" to the Magistral 1.1 models these have…

  • The Register: Aardvark beats groundhogs and supercomputers in weather forecasting

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    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/03/26/aardvark_weather_forecast/ Source: The Register Title: Aardvark beats groundhogs and supercomputers in weather forecasting Feedly Summary: PC-size ML prediction model predicted to be as good as a super at fraction of the cost Aardvark, a novel machine learning-based weather prediction system, teases a future where supercomputers are optional for forecasting – but don’t pull…

  • Hacker News: (Recommendation Systems and Search) × LLMs

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    Kurt Seifried
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    Source URL: https://eugeneyan.com/writing/recsys-llm/ Source: Hacker News Title: (Recommendation Systems and Search) × LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses advancements in recommendation systems, particularly focusing on how large language models (LLMs) and multimodal approaches are incorporated into these systems to enhance performance. The exploration of unified architectures indicates a…

  • Hacker News: Gemma 3 Technical Report [pdf]

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    Kurt Seifried
    in

    Source URL: https://storage.googleapis.com/deepmind-media/gemma/Gemma3Report.pdf Source: Hacker News Title: Gemma 3 Technical Report [pdf] Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a comprehensive technical report on Gemma 3, an advanced multimodal language model introduced by Google DeepMind. It highlights significant architectural improvements, including an increased context size, enhanced multilingual capabilities, and innovations…

  • Hacker News: Step-Video-T2V: The Practice, Challenges, and Future of Video Foundation Model

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    by

    Kurt Seifried
    in

    Source URL: https://arxiv.org/abs/2502.10248 Source: Hacker News Title: Step-Video-T2V: The Practice, Challenges, and Future of Video Foundation Model Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses a new advanced text-to-video model called Step-Video-T2V, which is notable for its large parameter size and effective compression techniques, showcasing its relevance to professionals in AI…