Efficient LLM Adaptation with Forward-Only Passes
arXiv:2611.10610v1 Announce Type: new Abstract: Large language model (LLM) inference serving is undergoing rapid growth and large-scale deployment, motivating us to rethink how the inference process itself can be leveraged to enable efficient task-specific LLM adaptation. In this paper, we propose a forward-only…
Excerpt provided by arXiv cs.AI via its public feed. Full reporting belongs to the original publisher.
Read the full story on arXiv cs.AI
Related coverage
TechCrunch AI · 8m ago
PSI is trying to make a business out of AI-driven scientific discovery

The Decoder · 53m ago
Gemini 4 Carbon arrives just in time to feel like yesterdays news in the fastest model cycle yet

Ars Technica AI · 4h ago
DeepMind reveals Gemini Robotics 2.5 and open safety benchmark "ASIMOV-jailbreak"
Google DeepMind · 7h ago
Introducing AlphaProof Code: a breakthrough in verifying complex software at depth