全书目录

附录 G:分章资料清单

G.26 第 13 章正文采用的核心来源

3 分钟 954 字 第 82 / 161 个阅读单元
  • 官方选型框架主轴:OpenAI Models / All models、Anthropic Choosing the right model、Google Vertex AI Model Optimizer / Google models、Microsoft model benchmarks / deployment types、AWS model catalog
  • 多维能力向量主轴:HELM、BIG-bench、BBH、LongBench、T-Eval、BIRD、HarmBench
  • 路由、级联与多模型编排主轴:FrugalGPT、LLM Cascades with Mixture of Thought Representations、RouteLLM、AWS Intelligent Prompt Routing、Microsoft Model router
  • 成本、延迟与系统约束主轴:OpenAI Prompt Caching、OpenAI Latency optimization、Orca、PagedAttention、DistServe
  • 风险治理与高风险选型主轴:EU AI Act、NIST AI 600-1、GPT-4o System Card、Claude 4 System Card、Larger and more instructable language models become less reliable、Must Be Taught to Know What They Don’t Know、Learn to Refuse、Robots That Ask For Help
  • 系统补强与业务适配主轴:Anthropic Building effective agents、OpenAI A practical guide to building agents、OpenAI Structured Outputs、Google advanced governance capabilities for Vertex AI Agent Builder、OpenAI Inside OpenAI’s in-house data agent、RAG、Toolformer、ReAct