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npm/packages/agentic-synth/examples/self-learning/feedback-loop.d.ts

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+/**
+ * Self-Improving Data Generation with Feedback Loops
+ *
+ * This example demonstrates:
+ * - Quality scoring and regeneration
+ * - A/B testing data for model improvement
+ * - Pattern learning from production data
+ * - Adaptive schema evolution
+ */
+import type { GenerationResult } from '../../src/types.js';
+/**
+ * Generate data with quality scores and regenerate low-quality samples
+ */
+export declare function qualityScoringLoop(): Promise<void>;
+/**
+ * Generate A/B test data to improve model performance
+ */
+export declare function abTestingData(): Promise<GenerationResult<unknown>>;
+/**
+ * Learn patterns from production data and generate similar synthetic data
+ */
+export declare function patternLearningLoop(): Promise<GenerationResult<unknown>>;
+/**
+ * Evolve data schema based on feedback and changing requirements
+ */
+export declare function adaptiveSchemaEvolution(): Promise<{
+    v1: GenerationResult<unknown>;
+    v2: GenerationResult<unknown>;
+    v3: GenerationResult<unknown>;
+}>;
+/**
+ * Generate data for active learning - focus on uncertain/informative samples
+ */
+export declare function activeLearningData(): Promise<GenerationResult<unknown>>;
+/**
+ * Generate evaluation data for continuous model monitoring
+ */
+export declare function continuousEvaluationData(): Promise<GenerationResult<unknown>>;
+export declare function runAllFeedbackLoopExamples(): Promise<void>;
+//# sourceMappingURL=feedback-loop.d.ts.map