LLMilestonesA milestone timeline of AI and large language models

Act II · Scaling up

PaperOpenAI

Scaling Laws for Neural Language Models

Found that loss falls smoothly, as a power law, with parameters, data and compute.

Power lawrelation between loss and scale

Why it matters

Turned "just make it bigger" from a gamble into a calculable investment, and underwrote the bet on GPT-3.

Costs and controversy

Underestimated the importance of data; corrected two years later by Chinchilla.

Led to

GPT-3Chinchilla

Source: arxiv.org ↗

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