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Meta released LLaMA models (7B-65B parameters) trained on publicly available data. Competitive with GPT-3 while being much smaller and open-source.

"Enabled open-source AI movement"

First multimodal GPT model accepting both text and images. Significant improvements in reasoning, creativity, and safety. Passed bar exam in top 10%.

"Major leap in AI capabilities and multimodal understanding"

Introduced the Transformer architecture, replacing recurrent networks with self-attention mechanisms. This paper laid the foundation for all modern large language models including GPT, BERT, and beyond.

"Revolutionary architecture that became the foundation of modern NLP"