六层技术版图

从 L0 Financial Agents(最内层)到 L5 Algorithmic Foundations(最外层)的同心结构 —— 每一层向外是它的技术基座。点击子层查看论文。

L0 · Financial Agents金融智能体

25 篇 →

最内层 · 任何用 LLM/agent 范式处理金融 task 的系统:客服、交易决策、alpha 挖掘、quant R&D、风控

L0.1 Customer-Facing Financial Agents
L0.2 Trading-Decision Agents
L0.3 Alpha Mining / Factor Discovery(主战场)
L0.4 Quant R&D Agents
L0.5 Risk / Safety / Reproducibility

L1 · Domain Research Agents领域研究智能体

18 篇 →

LLM agent 自主完成 domain-specific 研究:hypothesis → experiment → analysis

FunSearch · 2023AI Scientist v1 · 2024AI Scientist v2 · 2025ASI-ARCH · 2025AlphaProof / AlphaGeometry 2 · 2024AlphaEvolve · 2025Coscientist · 2023ChemCrow · 2023BioPlanner · 2024GNoME · 2023From Copilots to Colleagues · 2026Deep Research · 2025Deep Research Agents · 2025Deep Research · 2025Reinforcement Learning Foundations for D… · 2025Agentic AI for Scientific Discovery · 2025Highly Accurate Protein Structure Predic… · 2021Discovering Faster Matrix Multiplication… · 2022

L2 · Production Agent Systems生产级智能体系统

11 篇 →

真正部署在生产环境的 agent:coding、computer use、deep research、business automation

Devin · 2024Claude Code · 2024SWE-Agent · 2024OpenHands · 2024Anthropic Computer Use · 2024OpenAI Operator · 2025OpenSeeker / OpenSeeker-v2 · 2025STORM · 2024GPT Deep Research / Perplexity / Gemini … · 2025Tongyi DeepResearch · 2025A Generalist Agent · 2022

L3 · LLM Agent Patterns & Frameworks智能体模式与框架

34 篇 →

不依赖 domain 的 agent 通用 building block:reasoning、planning、tool、memory、multi-agent

L3.1 Reasoning Patterns
L3.2 Planning Patterns
L3.3 Tool Use & Integration
L3.4 Memory Architectures
L3.5 Multi-Agent Frameworks

L4 · Foundation Model Tech Stack基础模型技术栈

14 篇 →

foundation model 的训练、推理、扩展技术,每 3-6 个月翻一轮

L4.1 Pretraining / Architecture
L4.2 Post-Training (Alignment)
L4.3 Test-Time Compute

L5 · Algorithmic Foundations算法基础

12 篇 →

最外层 · 不依赖 LLM 的经典 AI/ML 算法,agent 范式的真正地基

L5.1 Reinforcement Learning
L5.2 Search & Planning
L5.3 Probabilistic / Conformal