This tutorial from MarkTechPost takes a really interesting angle on prompt engineering — treating prompts as tunable parameters you can optimize programmatically rather than endlessly tweaking by hand. The workflow combines Gemini 2.0 Flash with evolutionary search to automatically find stronger prompt configurations. Worth a read if you're tired of the guess-and-check approach to prompting.
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A Complete Workflow for Automated Prompt Optimization Using Gemini Flash, Few-Shot Selection, and Evolutionary Instruction Search
In this tutorial, we shift from traditional prompt crafting to a more systematic, programmable approach by treating prompts as tunable parameters rather than static text. Instead of guessing which instruction or example works best, we build an optimization loop around Gemini 2.0 Flash that experiments, evaluates, and automatically selects the strongest prompt configuration. In this […] The post A Complete Workflow for Automated Prompt Optimization Using Gemini Flash, Few-Shot Selection, an
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