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    "language": "en-US",
    "title": "Comments on: Meta\u2019s Llama 4 Models Are Bad for Rivals but Good for Enterprises, Experts Say",
    "description": "What&#039;s next in payments and commerce",
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            "url": "https://www.pymnts.com/artificial-intelligence-2/2025/metas-llama-4-models-are-bad-for-rivals-but-good-for-enterprises-experts-say/#comment-83057",
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            "date_published": "2025-04-19T00:34:25-04:00",
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                    "name": "Meta Llama 4: Ushering in the Next Generation of Open, Multimodal AI - aniiverse",
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            "id": "https://www.pymnts.com/artificial-intelligence-2/2025/metas-llama-4-models-are-bad-for-rivals-but-good-for-enterprises-experts-say/#comment-82832",
            "url": "https://www.pymnts.com/artificial-intelligence-2/2025/metas-llama-4-models-are-bad-for-rivals-but-good-for-enterprises-experts-say/#comment-82832",
            "content_html": "[&#8230;] Ilia Badeev, head of data science at Trevolution Group, told PYMNTS that his team was still marveling at Gemini 2.5\u2019s 1 million context window when Llama 4 Scout comes along with 10 million. \u201cThis is an enormous number. With 17 billion active parameters, we get a \u2018mini\u2019 level model (super-fast and super-cheap) but with an astonishingly large context. And as we know, context is king,\u201d Badeev said. \u201cWith enough context, Llama 4 Scout\u2019s performance on specific applied tasks could be significantly better than many state-of-the-art models.\u201d Continue reading here. [&#8230;]",
            "content_text": "[&#8230;] Ilia Badeev, head of data science at Trevolution Group, told PYMNTS that his team was still marveling at Gemini 2.5\u2019s 1 million context window when Llama 4 Scout comes along with 10 million. \u201cThis is an enormous number. With 17 billion active parameters, we get a \u2018mini\u2019 level model (super-fast and super-cheap) but with an astonishingly large context. And as we know, context is king,\u201d Badeev said. \u201cWith enough context, Llama 4 Scout\u2019s performance on specific applied tasks could be significantly better than many state-of-the-art models.\u201d Continue reading here. [&#8230;]",
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            "content_html": "[&#8230;] Meta&#8217;s Llama 4 Models Are Good for Enterprises, Experts Say, \u0434\u0430\u0442\u0430 \u043f\u043e\u0441\u043b\u0435\u0434\u043d\u0435\u0433\u043e \u043e\u0431\u0440\u0430\u0449\u0435\u043d\u0438\u044f: \u0430\u043f\u0440\u0435\u043b\u044f 16, 2025, https://www.pymnts.com/artificial-intelligence-2/2025/metas-llama-4-models-are-bad-for-rivals-but-go&#8230; [&#8230;]",
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            "content_html": "[&#8230;] operational speed, Llama 4 addresses a core issue for many enterprises: striking a balance between ambitious AI capabilities and reliable performance. Business leaders now have the chance to leverage technology that is both [&#8230;]",
            "content_text": "[&#8230;] operational speed, Llama 4 addresses a core issue for many enterprises: striking a balance between ambitious AI capabilities and reliable performance. Business leaders now have the chance to leverage technology that is both [&#8230;]",
            "date_published": "2025-04-12T08:55:53-04:00",
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