From Gemma 4 to DeepSeek V4, How New Open-Weight LLMs Are Reducing Long-Context Costs
Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at Sebastian Raschka.
From DeepSeek-V3 to Kimi K2: A Look At Modern LLM Architecture Design
KV caches are one of the most critical techniques for efficient inference in LLMs in production.
Understanding How DeepSeek's Flagship Open-Weight Models Evolved
arXiv:2606. 06467v1 Announce Type: cross Abstract: Long-context inference in modern LLMs is increasingly constrained by decoding efficiency, especially in reasoning-heavy settings where models generate long intermediate chains of thought.
A Round Up And Comparison of 10 Open-Weight LLM Releases in Spring 2026
