Papers arxiv:2605.09063 Soohak: A Mathematician-Curated Benchmark for Evaluating Research-level Math Capabilities of LLMs Published on May 9 Submitted by GUIJIN SON on May 12 2 Paper of the day EleutherAI Authors: , Seungone Kim , Catherine Arnett , Hyunwoo Ko , , , , , , , , Sang Park , , , Seungy… …
Papers arxiv:2605.09539 TacoMAS: Test-Time Co-Evolution of Topology and Capability in LLM-based Multi-Agent Systems Published on May 10 Submitted by Xinyu Lin on May 13 Authors: , , , , , , Abstract Test-time co-evolution framework for multi-agent systems that jointly adapts agent capabilities and … …
… Sign in to your XDA account As much as I adore my local LLMs, they can’t hold a candle to the reasoning capabilities of their cloud counterparts, and for good reason. …
… AI-generated summary Instruction following is a fundamental capability of large language models LLMs , yet continuously improving this capability remains challenging. …
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 …
Claw-Coder is an AI agent that runs locally on your laptop and has access to powerful tools instead of configuring claude or codex to use a local model just use claw-coder. Why was claw-coder created? Answer: To solve th…
Claw-Coder is an AI agent that runs locally on your laptop and has access to powerful tools instead of configuring claude or codex to use a local model just use claw-coder.Why was claw-coder created? Answer: To solve the…
This is something that has been bouncing around my head for the past couple weeks with the flood of security related news around Mythos and the number of 0days being found.Microkernels, unikernals, hardware-enforced capa…
I am a 25 y.o mid level engineer in an older classic on prem infra team (average age around 45) and we manage a nice mix of Linux / Windows servers. We are also in business critical so we can't just blindly copy and past…
… Switching between LLMs lets you harness their unique capabilities If I were to stick to a specific model family, I’d be significantly bottlenecking the potential of my local LLM servers. So, I tend to use a bunch of LLMs in my workflow, and cycle between them depending on my needs. …
… We then examine learning to collaborate, addressing the training of routing policies and the development of cooperative capabilities among LLMs. …
… As explained in this post, the latest TensorRT Edge-LLM release delivers a significant expansion in fundamental capabilities for NVIDIA DRIVE AGX Thor and NVIDIA Jetson Thor platforms. …
… In this work, we study LLM continual post-training through three questions: What drives forgetting? When do sequentially acquired capabilities transfer or interfere? …
… Spack developers found that using LLMs for writing packages was quite possible given sufficient context and structure provided to the large language model, or as one of the slides in the presentation put it: " LLMs are capable; they need structured guidance to perform reliably ." LLMs can be a time… …
… But one modder has used a novel method: repurposing an old Nvidia V100 enterprise GPU as a large language model LLM accelerator. …
