[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-llama-4":3},{"tag":4,"articles":11},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":10},"0e4e8476-a55f-4ffe-a1bb-f156739356e1","Llama 4","llama-4",5,"Llama 4 是 Meta 新一代開源大型語言模型系列，牽動自架部署、長上下文推理與授權選擇，也成為 2026 開源 LLM 排名與評測爭議的核心案例。","Llama 4 is Meta’s next open-weight LLM family, shaping how teams compare self-hosting, long-context reasoning, and licensing tradeoffs. It also sits at the center of 2026 benchmark debates and trust issues around reported results.",[12,21],{"id":13,"slug":14,"title":15,"summary":16,"category":17,"image_url":18,"cover_image":18,"language":19,"created_at":20},"424af64f-8d0b-4cd5-b58b-f37ee073bfa1","open-source-llm-comparison-2026-en","Open Source LLMs in 2026: Who Leads?","Qwen 3.5, GLM-5, DeepSeek R1, and Llama 4 now push open models into serious production territory, with licensing still deciding deployments.","model-release","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775131810853-8ewo.png","en","2026-04-02T12:09:40.211772+00:00",{"id":22,"slug":23,"title":24,"summary":25,"category":26,"image_url":27,"cover_image":27,"language":19,"created_at":28},"6e18bc65-42ae-4ad0-b564-67d7f66b979e","meta-llama4-fabricated-results-scandal-en","Meta's Llama 4 Scandal: Fabricated AI Test Results Unveiled","Meta's latest AI model, Llama 4, faced backlash after it was revealed test results were fabricated, casting doubt on the company's AI integrity.","industry","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1774497697541-3yx0.png","2026-03-25T16:29:15.482836+00:00"]