Why Deep Learning Works: New Theoretical Frameworks Emerge
Researchers are making progress on one of AI's biggest mysteries — why deep neural networks generalize so well despite c…
🏷️ Scaling Laws
2 articles about 'Scaling Laws'
MIT Study Reveals Why Scaling LLMs Works
MIT researchers discovered that 'superposition' mechanistically explains why larger language models reliably improve in …
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