InfoQ 2026 年 AI 与 ML 工程趋势报告
原标题：Article: InfoQ AI, ML and Data Engineering Trends Report - 2026
AI 摘要
InfoQ 发布 2026 年 AI、ML 与数据工程趋势报告，基于编辑团队与外部嘉宾的播客讨论，总结年度技术趋势并更新采用曲线图。报告指出语言模型从大模型转向小模型与推理模型，AI Agent 从个人助手扩展到团队和企业级应用，推理成为年度重点（预计年底占 AI 算力支出约三分之二），并新增 Agent 间协议、推理引擎（vLLM、SGLang、llm-d）等主题。报告还提到 TypeSafe AI 的 Jev 等 System One 模型因确定性、低成本和更快推理而获得更多采用，AI 评估与物理 AI 也受到关注。
正文节选
Key Takeaways - Language models have shifted from large-sized models to the small language models. We are also seeing the rise of reasoning models that can think through math and logic problems before responding. - AI Agents are moving from personal agents to the agents working with teams to companies using agents across entire organizations. - System One models like TypeSafe AI’s Jev will see more adoption because of their deterministic and faster inference, in addition to their lower costs com