LLMilestonesA milestone timeline of AI and large language models

Act I · Foundations

PaperGoogle

BERT

A bidirectional Transformer encoder that learns language through fill-in-the-blank pre-training.

340Mparameters (Large)

Why it matters

Set new records on 11 NLP tasks, set off a pre-training boom across the field, and soon went into Google Search.

Costs and controversy

It understands but does not generate; generative models later converged on GPT-style decoders.

Built on

Transformer

Led to

T5

Source: arxiv.org ↗

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