To Pick The Right Medical LLM, First Assess Your Readiness
To Pick The Right Medical LLM, First Assess Your Readiness Clinical Leader
To Pick The Right Medical LLM, First Assess Your Readiness Clinical Leader
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EmbeddingGemma 2: Text, Code, Images, Video and Audio in One Vector Space
EmbeddingGemma 2 launched on October 6, 2026 under Apache 2.0. It is a sub-1B model built on Gemma 4 that maps text, code, images, video and audio into one 768-dimensional space.  This article covers the architecture, the benchmarks, and runnable scripts to provide measured results.  Specifications Specification EmbeddingGemma 2 Base model Gemma 4 License Apache […] The post Embedd
Freeze the Decoder, Heal the Encoder: Parameter-Efficient Adaptation for SVD-Based KV-Cache Compression
arXiv:2610.10552v1 Announce Type: new Abstract: Comparing parameter-efficient fine-tuning recipes under a single, shared learning rate is a common but flawed practice: when the arms being compared have very different trainable-parameter counts, a shared rate can simultaneously depress the larger arms' means and inflate their variance, manufacturing a large, seemingly multi-seed-significant advanta
Coverage, Not Difficulty, Sets How Much Synthetic Data an Activation Probe Needs
arXiv:2610.10594v1 Announce Type: new Abstract: Activation probes that monitor deployed language models are trained on synthetic conversations, and how many a probe needs is open. We trace learning curves over 10-590 synthetic samples for three monitoring concepts, high-stakes situations, replies harmful to a person, and replies that do not follow the user's instruction, on fourteen held-out evalu