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The last six months in LLMs in five minutes Published 2026-05-19 4 min read
Article summary 过去半年大模型领域经历了密集的技术迭代:GPT-4 Turbo、Claude 3、Gemini 1.5 Pro 等多模态模型接连发布,上下文窗口从 128K 跃升至百万 token 级别;开源阵营中 Llama 3、Mistral 系列持续缩小与闭源模型的差距;RAG 架构与智能体(Agent)框架快速成熟,推动 LLM 从对话工具向自主执行系统演进。开发者需关注模型推理成本下降、工具链标准化及边缘部署优化带来的新机遇。
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过去半年大模型领域经历了密集的技术迭代:GPT-4 Turbo、Claude 3、Gemini 1.5 Pro 等多模态模型接连发布,上下文窗口从 128K 跃升至百万 token 级别;开源阵营中 Llama 3、Mistral 系列持续缩小与闭源模型的差距;RAG 架构与智能体(Agent)框架快速成熟,推动 LLM 从对话工具向自主执行系统演进。开发者需关注模型推理成本下降、工具链标准化及边缘部署优化带来的新机遇。
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