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Bigger isn’t always better. In this episode, we break down Microsoft Research’s latest AI breakthrough—Phi-1, a 1.3 billion parameter coding model that outperforms much larger models by focusing on high-quality, textbook-style data. Discover how this approach challenges traditional scaling laws, slashes computational costs, and paves the way for more efficient AI development. Tune in as we explore the future of coding AI and why “textbooks are all you need."
Bigger isn’t always better. In this episode, we break down Microsoft Research’s latest AI breakthrough—Phi-1, a 1.3 billion parameter coding model that outperforms much larger models by focusing on high-quality, textbook-style data. Discover how this approach challenges traditional scaling laws, slashes computational costs, and paves the way for more efficient AI development. Tune in as we explore the future of coding AI and why “textbooks are all you need."