Smaller, Smarter, Stronger: The Rise of Small Language Models
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A new post is live on Deeper Thoughts:
⚔️ Is Bigger Always Better? Rethinking AI Scaling Laws through Small Language Models
History is full of tales where strategy outsmarts strength — but how far can this go? Can David always beat Goliath? In AI, smaller language models are proving that they can—not by sheer size, but through smarter training, greater data efficiency, and compute-optimized strategies. This post explores how models with just a fraction of the parameters of giants like GPT-4 are beginning to rival, and sometimes outperform, them on key tasks.
If you’re curious about the future of AI scaling and why “bigger” might not always mean “better,” this one’s for you.
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Rohith
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