xdna-top: unified NPU+iGPU terminal monitor for Strix Halo (Ryzen AI Max) — finally see the NPU work
If you're running local models on a Ryzen AI Max / Strix Halo box, you've probably noticed it's hard to see what the NPU is actuallydoing. amd-smi is still broken on gfx1151 (ROCm #
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As we know Minimax M3 is just going to be open sourced in few days and because of that I was surfing on internet searching for its scores and I found out pretty interesting results. Is Minimax M3 really that good in agentic stuff and in coding? Is it better than older gpt models?
Has anyone personally compared the Minimax M3 model against other proprietary models to determine its relative performance tier? I am trying to understand where it currently ranks in
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Anthropic apologizes for invisible Claude Fable guardrails
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Reliable Structured Output in Production: Prompting Patterns for Claude, GPT-5 and Gemini
Reliable Structured Output in Production: Prompting Patterns for Claude, GPT‑5 and Gemini A concise review of common failure modes in large‑language‑model (LLM) pipelines that generate structured data, and practical prom…
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SIA: A Framework for Self-Improving AI Systems Hexo-AI has introduced SIA, a specialized framework designed to autonomously enhance the performance of AI models and agents through a self-improvement loop focused on bench…
→ View original sourcekarpathy /autoresearch
AutoResearch: Automating NanoChat Training via AI Research Agents Andrej Karpathy has introduced autoresearch , a framework designed to deploy AI agents capable of autonomously conducting research and optimizing the trai…
→ View original sourceAny chances for a 12B diffusion Gemma?
Evaluating the Potential for a Diffusion-Based Gemma 12B Architecture A technical discussion emerges regarding the feasibility and performance advantages of implementing a diffusion-based generation mechanism within the …
→ View original sourceCan't seem to enable reasoning in llama.cpp
Challenges in Enabling Reasoning Capabilities within llama.cpp A user report from the LocalLLaMA community highlights technical difficulties in activating "reasoning" or "thinking" modes when deploying specific models, s…
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What Is RAG? Why LLM Memory Alone Is Never Enough
Understanding Retrieval-Augmented Generation (RAG): Addressing the Limitations of LLM Parametric Memory An exploration of why Large Language Models (LLMs) struggle with factual precision and how Retrieval-Augmented Gener…
→ View original sourcemicrosoft /onnxruntime
Optimizing ML Deployment with Microsoft ONNX Runtime Microsoft's ONNX Runtime provides a high-performance, cross-platform acceleration engine designed to streamline the inferencing and training of machine learning models…
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Refiner: Robotics library from the ex-Hugging Face pre-training team
Refiner: A New Robotics Data Refinement Library from Former Hugging Face Pre-training Experts A team of former Hugging Face pre-training specialists has introduced "Refiner," a specialized library designed to streamline …
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