David vs. Goliath: How a Tiny 4B Model Beat Nvidia's 253B Giant (DASD-4B) 📉

Описание: For years, the rule of AI was simple: Bigger is better. Alibaba just broke that rule.
In this video, we break down DASD-4B, a compact model that is rewriting the playbook on efficiency and reasoning.
In this video, we cover:
1. The "David" Moment 🏆 We analyze the shocking numbers. This 4-billion parameter model didn't just compete; it scored an 88.5 on the AMY24 math benchmark. That score crushes models 8x its size and even outperforms Nvidia's massive 253-billion parameter model.
2. The "Pianist" Method (Aligned Distillation) 🎹 How did they do it? We explain the Distribution Aligned Sequence Distillation technique. Instead of just copying the notes (memorizing answers), the student model learns the "music theory" (reasoning patterns) from a larger teacher model.
3. Quality Over Quantity 📉 Most giants are trained on 2 million+ examples. DASD-4B used just 448,000. We discuss why "data quality" is suddenly more important than "data quantity."
4. The 3-Stage Training Process 🏗️ We break down the recipe:
• Generation: The teacher creates diverse solutions.
• Filtration: Only the most insightful paths are kept.
• Evolution: The student masters stable thinking before moving to creative problem-solving.
The Verdict: This is the democratization of AI. High-performance reasoning is no longer locked in massive data centers; it is ready to run on hardware you can actually own.

https://huggingface.co/Alibaba-Apsara...

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