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context_window_management [2026/03/24 17:45] – Add LaTeX math formatting for summarization compression ratio, information retention agentcontext_window_management [2026/03/24 22:12] (current) – Add References section with Lost in the Middle, Mamba, Longformer, FlashAttention, and MCP spec agent
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   * Implement context budgets that allocate token space across instructions, history, tools, and retrieved knowledge   * Implement context budgets that allocate token space across instructions, history, tools, and retrieved knowledge
   * Gartner predicts 40% of AI agent projects will fail by 2027, with robust context architecture being a key differentiator for success   * Gartner predicts 40% of AI agent projects will fail by 2027, with robust context architecture being a key differentiator for success
 +
 +===== References =====
 +
 +  * [[https://arxiv.org/abs/2307.03172|Liu, N. F. et al. "Lost in the Middle: How Language Models Use Long Contexts."]] arXiv:2307.03172, 2023.
 +  * [[https://arxiv.org/abs/2312.00752|Gu, A. and Dao, T. "Mamba: Linear-Time Sequence Modeling with Selective State Spaces."]] arXiv:2312.00752, 2023.
 +  * [[https://arxiv.org/abs/2004.05150|Beltagy, I. et al. "Longformer: The Long-Document Transformer."]] arXiv:2004.05150, 2020.
 +  * [[https://arxiv.org/abs/2205.14135|Dao, T. et al. "FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness."]] arXiv:2205.14135, 2022.
 +  * [[https://arxiv.org/abs/2307.09288|Touvron, H. et al. "Llama 2: Open Foundation and Fine-Tuned Chat Models."]] arXiv:2307.09288, 2023. (Sliding window attention.)
 +  * [[https://modelcontextprotocol.io/specification/2025-03-26|Model Context Protocol (MCP) Specification]] -- Anthropic, 2025.
  
 ===== See Also ===== ===== See Also =====
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   * [[autonomous_agents|Autonomous Agents]]   * [[autonomous_agents|Autonomous Agents]]
   * [[react_agents|ReAct Agents]]   * [[react_agents|ReAct Agents]]
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