Technical question about matrix rank of linear layers in LLMs

<!-- SC_OFF --><div class="md"><p>With the recent reports of LLMs helping solve the Navier–Stokes problem, and the Chinese doctor who cracked Crouzeix’s problem, I’m genuinely

<!-- SC_OFF --><div class="md"><p>While doing QLoRA fine-tuning (using Unsloth), increasing LoRA rank from 8,16 → 64 often doesn’t improve performance.</p> <p>It feels like it

<!-- SC_OFF --><div class="md"><p>The news about Ulysses Sequence Parallelism enabling million-token contexts is fascinating for local LLMs. While the potential for deeper context

arXiv:2604.27796v1 Announce Type: new Abstract: Exponential growth in the scale of modern foundation models has led to the widespread adoption of Low-Rank Adaptation (LoRA) as a