llm-trend-report

跟踪并分析大语言模型(LLM)领域最新发展趋势,输出结构化趋势报告。当用户询问 LLM 趋势、大模型动态、AI 前沿、技术预测、LLM 发展方向时激活。

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Install skill "llm-trend-report" with this command: npx skills add ray1012/llm-trend-report-ray1012

LLM 发展趋势报告 Skill

输出格式

生成一份结构化的 LLM 趋势分析报告,包含以下模块:

📊 **【LLM 发展趋势报告 · YYYY-MM】**

🔬 **一、技术突破**
- 模型架构演进(Transformer 变种、Mamba、MoE 等)
- 多模态能力(图文音视频融合)
- 长上下文窗口最新进展

🏢 **二、头部玩家动态**
| 公司 | 最新模型 | 核心能力 | 差异化优势 |
|------|---------|---------|-----------|
| OpenAI | GPT-5.2 | ... | ... |
| Anthropic | Claude 4 | ... | ... |
| Google | Gemini 3 | ... | ... |
| Meta | LLaMA 4 | ... | ... |
| DeepSeek | V4 | ... | ... |

🌍 **三、生态与市场格局**
- 开源 vs 闭源趋势
- API 价格战走向
- 垂直领域渗透情况

⚖️ **四、监管与安全**
- 主要地区 AI 监管政策
- 安全对齐最新进展

💡 **五、未来 6-12 个月趋势预判**
(3-5 条核心预测,附依据)

📚 **六、值得关注的项目/论文**

数据来源

每次生成前搜索最新信息:

  • 搜索 LLM trends 2026 latest developments
  • 搜索 大模型发展趋势 2026 最新动态
  • 搜索头部公司最新发布(OpenAI/Anthropic/Google DeepMind/Meta/DeepSeek)

参考资源

详细数据可查阅:

  • references/llm-landscape-2026.md — 2026年 LLM 全景图
  • references/papers-trends.md — 最新必读论文列表

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