Experimental News Clipping Site

Tag: training pipeline

  • Hacker News: Instella: New Open 3B Language Models

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    Kurt Seifried
    in

    Source URL: https://rocm.blogs.amd.com/artificial-intelligence/introducing-instella-3B/README.html Source: Hacker News Title: Instella: New Open 3B Language Models Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text introduces the Instella family of 3-billion-parameter language models developed by AMD, highlighting their capabilities, benchmarks, and the significance of their fully open-source nature. This release is notable for professionals in AI…

  • Cloud Blog: Five tips and tricks to improve your AI workloads

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/reduce-cost-and-improve-your-ai-workloads/ Source: Cloud Blog Title: Five tips and tricks to improve your AI workloads Feedly Summary: Recently, we announced Gemini Code Assist for individuals, a free version of our AI coding assistant. Technology that was previously available only to the biggest enterprises is now within reach for startups and individual developers. The same…

  • Cloud Blog: An SRE’s guide to optimizing ML systems with MLOps pipelines

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/devops-sre/applying-sre-principles-to-your-mlops-pipelines/ Source: Cloud Blog Title: An SRE’s guide to optimizing ML systems with MLOps pipelines Feedly Summary: Picture this: you’re an Site Reliability Engineer (SRE) responsible for the systems that power your company’s machine learning (ML) services. What do you do to ensure you have a reliable ML service, how do you know…

  • Hacker News: R1 Computer Use

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    Kurt Seifried
    in

    Source URL: https://github.com/agentsea/r1-computer-use Source: Hacker News Title: R1 Computer Use Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes a project named “R1-Computer-Use,” which leverages reinforcement learning techniques for improved computer interaction. This novel approach replaces traditional verification methods with a neural reward model, enhancing the reasoning capabilities of agents in diverse…

  • Cloud Blog: How L’Oréal Tech Accelerator built its end-to-end MLOps platform

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-loreals-tech-accelerator-built-its-end-to-end-mlops-platform/ Source: Cloud Blog Title: How L’Oréal Tech Accelerator built its end-to-end MLOps platform Feedly Summary: Technology has transformed our lives and social interactions at an unprecedented speed and scale, creating new opportunities. To adapt to this reality, L’Oréal has established itself as a leader in Beauty Tech, promoting personalized, inclusive, and responsible…

  • Hacker News: Lessons from building a small-scale AI application

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    Kurt Seifried
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    Source URL: https://www.thelis.org/blog/lessons-from-ai Source: Hacker News Title: Lessons from building a small-scale AI application Feedly Summary: Comments AI Summary and Description: Yes Summary: The text encapsulates critical lessons learned from constructing a small-scale AI application, emphasizing the differences between traditional programming and AI development, alongside the intricacies of managing data quality, training pipelines, and system…

  • Hacker News: DeepSeek-R1

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    Kurt Seifried
    in

    Source URL: https://github.com/deepseek-ai/DeepSeek-R1 Source: Hacker News Title: DeepSeek-R1 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents advancements in AI reasoning models, specifically DeepSeek-R1-Zero and DeepSeek-R1, emphasizing the unique approach of training solely through large-scale reinforcement learning (RL) without initial supervised fine-tuning. These models demonstrate significant reasoning capabilities and highlight breakthroughs in…

  • Hacker News: Learning How to Think with Meta Chain-of-Thought

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2501.04682 Source: Hacker News Title: Learning How to Think with Meta Chain-of-Thought Feedly Summary: Comments AI Summary and Description: Yes Summary: The document presents a novel framework called Meta Chain-of-Thought (Meta-CoT) aimed at enhancing reasoning capabilities in Large Language Models (LLMs). This framework is positioned to advance AI behavior toward more human-like reasoning,…