Intelligent regulation system for adaptive research intensity
KResearch has innovatively designed four gradientization modes from Ultra Fast to Deep Dive with adjustable iteration parameters from 1-500 times to form a research intensity matrix. The technical whitepaper shows that the Ultra Fast mode uses keyword speed checking technology and performs an average of only 3 core iterations, taking 90 seconds; while the Deep Dive mode activates multiple rounds of validation mechanisms, including: source authority assessment, data cross-validation, conflicting information arbitration, and other 7-channel quality control processes. When users set up the Deep Dive mode with 50 iterations to study "New Energy Battery", the system automatically triggered 12 strategy adjustments, resulting in a 58-page report with 17 data charts and graphs.
Behind this dynamic adjustment mechanism is Gemini API's fresh-shot learning capability, which enables the system to automatically expand the complexity of the prompt according to the number of iterations. Test data show that when the iteration exceeds 100 times, the research accuracy improvement curve tends to flatten, which provides a scientific basis for setting reasonable iteration parameters. Product managers are recommended to use the Balanced mode with 20-30 iterations to achieve the best balance between accuracy and efficiency.
This answer comes from the articleKResearch: Generate Free In-depth Research Reports with Google Gemini APIsThe
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