🚀 Unlocking AI’s True Potential 🚀
In the world of Artificial Intelligence, the key to better performance often lies not in the models, but in how we define the tasks. My recent exploration reveals that structure matters more than prompt tricks. Here are six powerful workflows to elevate AI output:
- Decomposition: Break down vague tasks into clear constraints and steps.
- Constraint Stacking: Clearly outline what must and must not happen.
- Reasoning Path Control: Implement “think aloud” checkpoints to verify assumptions.
- Refinement Loops: Generate, critique, adjust, and regenerate for optimal results.
- Verification Passes: Conduct independent checks to prevent hallucination.
- Output Benchmarking: Define evaluation metrics upfront.
Curious to dive deeper? 🌊 Check out my full overview here for insights, examples, and frameworks.
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