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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:HELMBIG-benchBBHLongBenchT-EvalBIRDHarmBench
  • 路由、级联与多模型编排主轴:FrugalGPTLLM Cascades with Mixture of Thought RepresentationsRouteLLM、AWS Intelligent Prompt Routing、Microsoft Model router
  • 成本、延迟与系统约束主轴:OpenAI Prompt Caching、OpenAI Latency optimizationOrcaPagedAttentionDistServe
  • 风险治理与高风险选型主轴:EU AI ActNIST AI 600-1GPT-4o System CardClaude 4 System CardLarger and more instructable language models become less reliableMust Be Taught to Know What They Don’t KnowLearn to RefuseRobots 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 agentRAGToolformerReAct