self-attention

A core mechanism within Transformer architectures that allows a model to compute the relative importance of all tokens in a sequence, enabling the capture of long-range dependencies.

Recent Architectural Advancements

• Hybrid SSM-Transformer Architectures:
  • AI21 Labs has released Jamba 1.7, which utilizes a hybrid structure to optimize performance.
  • Available in Jamba Mini 1.7 and Jamba Large 1.7 flavors.
• Context Window Scaling:
  • Recent developments are pushing the boundaries of context window capabilities, with models now reaching up to 256k tokens.

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2026 04 14 256k context window LLM

Source Notes

• 2026-04-13: EXPOSED: The Dirty Little Secret of AI (On a 1979 PDP-11)