Tag archive
Tencent's Hunyuan team introduced HiLS, a sparse-attention method that learns end-to-end which parts of a long document to focus on, matching full attention while handling context 64 times longer than it was trained on.
Could LLMs Finally Read Whole Novels Without Truncation? Miami‑based AI startup Subquadratic has...
Originally published at norvik.tech Introduction Dive deep into MiniMax's new attention...
SubQ is the first sub-quadratic LLM with a 12M token context window. Learn how SSA architecture works, what it costs, and how to get API access.
This article was originally published on GetYourDozAi. * Key Takeaways MiniMax M3 — the...
MiniMax M3: $0.30/M via Anthropic-compatible API. What the benchmarks mean, how to pick the right credential, and a working code example.