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This article originally appeared on Engadget at https://www.engadget.com/ai/openai-secures-another-110-billion-in-funding-from-amazon-nvidia-and-softbank-171006356.html?src=rss

ArchitectureBoth models share a common architectural principle: high-capacity reasoning with efficient training and deployment. At the core is a Mixture-of-Experts (MoE) Transformer backbone that uses sparse expert routing to scale parameter count without increasing the compute required per token, while keeping inference costs practical. The architecture supports long-context inputs through rotary positional embeddings, RMSNorm-based stabilization, and attention designs optimized for efficient KV-cache usage during inference.

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