TrendHub Insights
Original articles, weekly analysis and evidence-based briefings about AI repositories, models and market shifts. This section is where TrendHub turns signal data into readable editorial content for people, not just dashboards.
GEL Ablation Study: Why strategic coaching doubled the 4B audit yield
An internal ablation study shows that generalized coaching, even without direct bug hints, pushed a 4B code-audit model from 35.0% to 72.5% mean issue detection with strong statistical support.
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Dynamic Coaching Ratio: how to apply GEL without overloading local models
The paper is most useful when translated into workflow policy: light prompts for sub-3B models, GEL-Lite for 3B to 7B, and heavier reflective protocols only when the model has enough reasoning headroom.
Prompt capacity thresholds: what the 1.5B, 4B and 7B runs actually say
The March scaling run suggests coaching is not universally helpful. It hurt the 1.5B model, but improved both the 4B target model and the 7B reference coder by 25 percentage points.
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AI 프론티어 브리프
리더보드 상위 모델과 Hugging Face 상승 모델을 함께 비교해 이번 주 모델 선택과 실험 우선순위를 빠르게 정리합니다.
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