…On-device LLMs hit the opposite wall: compute, memory, capability. This survey argues that the answer isn't picking a side. It's collaborative intelligence , where multiple independent LLMs across device and…
…Even with the more selective niche than a typical general purpose OS package manager, large language models (LLMs) have already proven capable of being useful in generating new Spack packages. But there…
…AI-generated summary Continual post-training aims to extend large language models (LLMs) with new knowledge, skills, and behaviors, yet it remains unclear when sequential updates enable capability transfer and when they…
…But apparently someone has made an SXM2-to-PCIe adapter, and with that and a cooling mod, the V100 was more than capable of running LLMs locally. The adapter cost another $100…
My personal test for small local LLM intelligence is to check whether a model has any ability to understand the code that I write for my own academic research. My research is on some pretty niche topics and I doubt that …
Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input (with audio supported on E2B, E4B, and 12B) and generating text output. This release includes open-w…
I built an independent benchmark with 20 real CVEs across 15 CWE categories, 5 models (3 OpenAI, 2 Poolside Laguna), three prompt conditions: full advisory, behavioral description only, and location only (file and functi…
# A Wild Idea: Abstract Reality with Ontology## Background Large language models (LLMs) debuted with GPT-3 back in June 2020. After roughly five to six years of development, I believe the technology is still in its infan…
AI models are rapidly getting better. The general public still hasn't seen the capabilities of Anthropic's Mythos model, which is already 4 months old at this point.I've seen many arguments about why certain jobs will al…
…AI-generated summary Does a lexical retriever suffice as large language models (LLMs) become more capable in an agentic loop ? This question naturally arises when building deep research systems. We revisit it…
…And that's also why the local LLM helps. Claude Code already has a switch between Opus, Sonnet, and Haiku, and setting up an Anthropic API-capable local LLM slots in as…
…AI-generated summary Self-evolving LLMs excel in verifiable domains but struggle in open-ended tasks, where reliance on proxy LLM judges introduces capability bottlenecks and reward hacking . To overcome this, we…
…TensorRT Edge-LLM now offers support for Qwen3-TTS and Qwen3-ASR , a native multimodal model with Thinker-Talker architecture capable of voice interaction. Unlike traditional pipelines that cascade ASR, LLM, and…
…Authors: , , , , , , , , , , , , Abstract PhysicianBench evaluates LLM agents on real clinical tasks requiring complex, multi-step workflows within electronic health record environments, revealing significant gaps in current agent capabilities. AI-generated summary We introduce…
…DR? LLM agents are much more capable than we thought and only need gentle coaxing to deliver their best results when given a problem. Related Start treating your LLMs as smarter than…
