LLM

KDRL framework diagram showing teacher-student RL fusion boosting LLM math accuracy

Unlock 57.2% Reasoning Accuracy: KDRL Revolutionary Fusion Crushes LLM Training Limits

2 Comments / Machine Learning /

The Hidden Flaw Crippling Your LLM’s Reasoning Power Large language models (LLMs) promise revolutionary reasoning capabilities, yet most hit an invisible wall. Traditional training forces a brutal trade-off: Enter KDRL—a Huawei/HIT-developed framework merging KD and RL into a single unified pipeline. Results from 6 reasoning benchmarks reveal: How KDRL Shatters the KD-RL Deadlock Proposed model breakthrough lies […]

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POCL Framework: 2.5X Faster LLMs Distillation Without Collapse

Unlock 2.5X Better LLMs: How Progressive Overload Training Crushes Catastrophic Forgetting

1 Comment / Machine Learning /

The Painful Reality of Shrinking Giant LLMs Large language models (LLMs) like GPT-4o and Claude 3.5 revolutionized AI—but their massive size makes deployment a nightmare. Imagine slashing compute costs by 90% while retaining 97% of performance. That’s the promise of Knowledge Distillation (KD), where a compact “student” model learns from a “teacher” LLM. Yet traditional KD

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