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    Ts Floyd
    Ts Floyd@ts_floyd0mo
    🏢Nvidia🏢Georgia Tech - Georgia Institute of Technology💭AI
    Small Language Models Future Agentic AI

    @ts_floydMost agent calls involve small decisions like routing, classifying, checking, or gating. These tasks do not require frontier models because an agent loop primarily consists of bounded choices rather than deep reasoning. Post-training methods such as SFT and RL against verifiers are becoming more important than raw model size. A 3B parameter model quantized to int4 fits in approximately 1.5 GB and runs on a laptop. API traffic can be distilled into a proprietary model with hard cases escalated. At high volume, owning models becomes more cost-effective than renting within days. TwIL-LM3-Pro by thewebai has 3.6 billion parameters. It performs on par with Qwen3-8B on formal logic tasks and leads VibeThinker-3B on all six tested formal-logic tasks. TwIL-LM3-Pro occupies 2.09 GiB and runs on CPU or 4GB VRAM. Every agent will incorporate a layer of small specialists underneath it. Small Language Models are positioned as the future of Agentic AI. An 18-page PDF containing full details is available. The TwIL-LM3-Pro model is hosted at http://huggingface.co/webAI-Official/TwIL-LM3-Pro.

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    Small Language Models Future Agentic AI

    Foto di @ts_floyd· Oct 2, 2026· Nvidia

    Su questa foto

    This is a screenshot of a research paper titled "Small Language Models are the Future of Agentic AI." The focus is the paper's title, authors, and abstract. The mood is academic and informative. A notable detail is the arXiv watermark on the left side. ON-SCREEN TEXT: Small Language Models are the Future of Agentic AI. Peter Belcak, Greg Heinrich, Shizhe Diao, Yonggan Fu, Xin Dong, Saurav Muralidharan, Yingyan Celine Lin, Pavlo Molchanov. NVIDIA Research, Georgia Institute of Technology. [email protected]. Abstract. 1 Introduction. Pre-print. Under review.

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    Alphabet historic stock dropAlphabet historic stock dropForge '26 Jensen Huang fireside chatForge '26 Jensen Huang fireside chatApple market cap surpasses Nvidia2Apple market cap surpasses NvidiaJensen Huang spy allegation2Jensen Huang spy allegationNvidia CEO Jensen Huang on billionaire tax2Nvidia CEO Jensen Huang on billionaire taxJensen Huang on California billionaire tax2Jensen Huang on California billionaire taxJensen Huang AI prediction2Jensen Huang AI predictionFaraday Future FF Nova robot lineupFaraday Future FF Nova robot lineupNvidia stock chart record highNvidia stock chart record highWorld's biggest companies profit per $100 revenueWorld's biggest companies profit per $100 revenueNvidia truck heist fails2Nvidia truck heist failsJensen Huang low IQ era AI education2Jensen Huang low IQ era AI educationJensen Huang AI surgery comparison2Jensen Huang AI surgery comparisonUS stock market heatmapUS stock market heatmapJensen Huang World Economic Forum AI speech2Jensen Huang World Economic Forum AI speechDonald Trump AI hoax statement2Donald Trump AI hoax statementJensen Huang Nvidia AI strategy2Jensen Huang Nvidia AI strategyElon Musk SpaceX Nvidia AI2Elon Musk SpaceX Nvidia AI
    Foto
    Ts Floyd
    Ts Floyd@ts_floyd0mo
    🏢Nvidia🏢Georgia Tech - Georgia Institute of Technology💭AI
    Small Language Models Future Agentic AI

    @ts_floydMost agent calls involve small decisions like routing, classifying, checking, or gating. These tasks do not require frontier models because an agent loop primarily consists of bounded choices rather than deep reasoning. Post-training methods such as SFT and RL against verifiers are becoming more important than raw model size. A 3B parameter model quantized to int4 fits in approximately 1.5 GB and runs on a laptop. API traffic can be distilled into a proprietary model with hard cases escalated. At high volume, owning models becomes more cost-effective than renting within days. TwIL-LM3-Pro by thewebai has 3.6 billion parameters. It performs on par with Qwen3-8B on formal logic tasks and leads VibeThinker-3B on all six tested formal-logic tasks. TwIL-LM3-Pro occupies 2.09 GiB and runs on CPU or 4GB VRAM. Every agent will incorporate a layer of small specialists underneath it. Small Language Models are positioned as the future of Agentic AI. An 18-page PDF containing full details is available. The TwIL-LM3-Pro model is hosted at http://huggingface.co/webAI-Official/TwIL-LM3-Pro.

    Vedi post originale

    Small Language Models Future Agentic AI

    Foto di @ts_floyd· Oct 2, 2026· Nvidia

    Su questa foto

    This is a screenshot of a research paper titled "Small Language Models are the Future of Agentic AI." The focus is the paper's title, authors, and abstract. The mood is academic and informative. A notable detail is the arXiv watermark on the left side. ON-SCREEN TEXT: Small Language Models are the Future of Agentic AI. Peter Belcak, Greg Heinrich, Shizhe Diao, Yonggan Fu, Xin Dong, Saurav Muralidharan, Yingyan Celine Lin, Pavlo Molchanov. NVIDIA Research, Georgia Institute of Technology. [email protected]. Abstract. 1 Introduction. Pre-print. Under review.

    Vedi tutte le foto di NvidiaLeggi la wiki di Nvidia

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    Altre foto di Nvidia

    Vedi tutte le foto di Nvidia
    Alphabet historic stock dropAlphabet historic stock dropForge '26 Jensen Huang fireside chatForge '26 Jensen Huang fireside chatApple market cap surpasses Nvidia2Apple market cap surpasses NvidiaJensen Huang spy allegation2Jensen Huang spy allegationNvidia CEO Jensen Huang on billionaire tax2Nvidia CEO Jensen Huang on billionaire taxJensen Huang on California billionaire tax2Jensen Huang on California billionaire taxJensen Huang AI prediction2Jensen Huang AI predictionFaraday Future FF Nova robot lineupFaraday Future FF Nova robot lineupNvidia stock chart record highNvidia stock chart record highWorld's biggest companies profit per $100 revenueWorld's biggest companies profit per $100 revenueNvidia truck heist fails2Nvidia truck heist failsJensen Huang low IQ era AI education2Jensen Huang low IQ era AI educationJensen Huang AI surgery comparison2Jensen Huang AI surgery comparisonUS stock market heatmapUS stock market heatmapJensen Huang World Economic Forum AI speech2Jensen Huang World Economic Forum AI speechDonald Trump AI hoax statement2Donald Trump AI hoax statementJensen Huang Nvidia AI strategy2Jensen Huang Nvidia AI strategyElon Musk SpaceX Nvidia AI2Elon Musk SpaceX Nvidia AI