Agent
Fundamentals
Fundamentals
Setup
注意力计算复杂度是 $O(n^2)$, 且是稀疏的 (模型不会均匀地关注所有输入):
Principles
Metrics
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Pre-trained models + fine-tuning (downstream tasks):
- Use existing documents:
Prompt Template
Fundamentals
Model Context Protocol
- Sequential.
Agent design patterns:
Scaling Law
Proximal Policy Optimization
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Fundamentals
Principles
Design
Chain of Thought
检索增强生成, 通常称为 RAG (Retrieval-Augmented Generation),
Principles
Taxonomy
Instruction
Embeddings and Vector Stores
AGENTS.md