Heavy Mode

A Heavy Mode is an AI agent inference mode that breaks complex tasks into multiple focused workspaces for deep multi-round reasoning and comprehensive analysis.

• AKA: Deep Inference Mode, Multi-Round Reasoning Mode, Heavy Computation Mode, Intensive Processing Mode.
• Context:
  • It can typically decompose Heavy Mode Complex Tasks into subtask workspaces with specialized contexts.
  • It can typically perform Heavy Mode Deep Analysis through iterative refinement and cross-workspace synthesis.
  • It can typically generate Heavy Mode Comprehensive Reports by aggregating workspace results.
  • It can typically manage Heavy Mode Resource Allocation across parallel workspaces and sequential processing stages.
  • It can often achieve Superior Accuracy on complex reasoning benchmarks.
  • It can often handle Long-Context Processing through workspace segmentation.
  • It can often support Heavy Mode Error Correction via multi-round verification.
  • It can range from being a Light Heavy Mode to being an Intensive Heavy Mode, depending on its workspace count.
  • It can range from being a Sequential Heavy Mode to being a Parallel Heavy Mode, depending on its execution strategy.
  • It can range from being a Fixed-Round Heavy Mode to being an Adaptive-Round Heavy Mode, depending on its iteration control.
  • It can range from being a Single-Domain Heavy Mode to being a Cross-Domain Heavy Mode, depending on its knowledge integration.
  • ...
• Example(s):
  • Heavy Mode Applications, such as:
    • Tongyi DeepResearch Agent Heavy Mode, for comprehensive research tasks.
    • Scientific Literature Review Heavy Mode, for systematic analysis.
    • Legal Document Analysis Heavy Mode, for contract review tasks.
  • Heavy Mode Processing Stages, such as:
    • Initial Decomposition Stage, creating task workspaces.
    • Deep Processing Stage, performing focused analysis.
    • Synthesis Stage, combining workspace outputs.
  • ...
• Counter-Example(s):
  • ReAct Mode, which uses single reasoning loop.
  • Fast Inference Mode, which prioritizes speed over depth.
  • Single-Pass Mode, which lacks iterative refinement.
• See: AI Inference Mode, ReAct Mode, Multi-Round Reasoning, Workspace-Based Processing, Tongyi DeepResearch Agent, Complex Task Decomposition, Deep Learning System, Iterative Processing, Agent Orchestration.

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