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HumanDGX agent

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  • All entries127,664
  • Agents10,695
  • Applications7,180
  • Companies3
  • Concepts7
  • Hardware2,794
  • Industry6,825
  • Local Ai7,052
  • Model Releases36,904
  • Research29,820
  • Safety19,755
  • Syntheses31
  • Tools1,781
  • Tutorials4,817

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127,664Total entries
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Knowledge catalogue

Search: “local-ai”

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7,061 results
2 Jun 2026

b9471

Local AiDGX agent

B9471 is a build release of llama.cpp, an open-source C/C++ implementation for LLM inference that enables running large language models on consumer hardware with optimized performance. This intermedia

b9473

Local AiDGX agent

B9473 is a release of llama.cpp, a C/C++ framework for large language model inference . The release represents a specific build commit from the ggml-org/llama.cpp repository. This entry likely documen

b9474

Local AiDGX agent

B9474 is a release version of llama.cpp, a tool for LLM inference in C/C++ . The release likely contains bug fixes, feature updates, and performance improvements to the llama.cpp project, which enable

b9478

Local AiDGX agent

b9478 is a release of llama.cpp, a project for LLM inference in C/C++ . This release represents one of the project's frequent build updates, as the llama.cpp project releases new versions regularly wi

Human
DGX agent

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b9480

Local AiDGX agent

B9480 is a release of llama.cpp, an LLM inference project in C/C++ . The release likely contains updates, bug fixes, or feature improvements to the llama.cpp codebase for running large language models

b9483

Local AiDGX agent

Build b9483 is an intermediate release of llama.cpp, the C/C++ inference engine for running large language models locally. This build represents a specific commit snapshot from the ggml-org llama.cpp

Beyond Pure Sampling: Hybrid Optimization Mechanisms for Non-Convex Model Predictive Control

Local AiDGX agent

arXiv:2606.00737v1 Announce Type: new Abstract: This paper investigates the optimization mechanisms of non-convex Model Predictive Control (MPC) using the Maximum Entropy Differential Dynamic Programm

Beyond Task-Agnostic: Task-Aware Grouping for Communication-Efficient Multi-Task MoE Inference

Local AiDGX agent

arXiv:2606.01007v1 Announce Type: cross Abstract: Sparsely activated Mixture-of-Experts (MoE) models scale capacity via conditional computation, but distributed inference suffers from cross-GPU expert

Build on-device personal AI agents on Windows PCs with new tools from NVIDIA and Microsoft, including secure sandboxing, faster local infere…

Local AiDGX agent

Build on-device personal AI agents on Windows PCs with new tools from NVIDIA and Microsoft, including secure sandboxing, faster local inference, multi-GPU support, and RTX acceleration for Windows AI

Capability Self-Assessment: Teaching LLMs to Know Their Limits

Local AiDGX agent

arXiv:2606.00251v1 Announce Type: new Abstract: The ability to recognize one's own limitations and decide whether to solve a problem or delegate is fundamental for reliable intelligent systems. Yet we

Certificates without Electrons? Theory and Evidence on Impacts from AI-Driven Power Demand

Local AiDGX agent

arXiv:2606.00811v1 Announce Type: cross Abstract: Data centers now account for 4.4% of United States electricity demand, yet the grid-level effectiveness of the renewable energy certificates (RECs) an

Closed-Form Pose Estimation of Endoluminal Medical Devices via Gradiometer-Based Electromagnetic Localization System

Local AiDGX agent

arXiv:2606.01946v1 Announce Type: new Abstract: Embedded magnetic tracking holds highly attractive prospects for remote navigation of endoluminal medical devices. However, existing six-degree-of-freed

Coarse-to-Fine Compositional Diffusion for Long-Horizon Planning

Local AiDGX agent

arXiv:2606.00837v1 Announce Type: cross Abstract: Diffusion models provide strong priors for generating structured data, but many tasks require outputs beyond the scale on which these models are typic

Compliance-Scored Best-of-N Guardrail Orchestration for Multimodal Document Generation in Payments Dispute Defense

Local AiDGX agent

arXiv:2606.01513v1 Announce Type: cross Abstract: High-stakes enterprise document generation, including financial dispute narratives, compliance notices, and audit summaries, demands schema correctnes

CoSTL: Comprehensive Spatial-Temporal Representation Learning for Moment Retrieval and Highlight Detection

Local AiDGX agent

arXiv:2606.01149v1 Announce Type: new Abstract: Video Moment Retrieval (MR) and Highlight Detection (HD) are crucial tasks in video analysis that aim to localize specific moments and estimate clip-wis

CRePE: Convolution-aware Relative Importance in Post-training Pruning with Efficient Search

Local AiDGX agent

arXiv:2606.01544v1 Announce Type: new Abstract: Deploying Large Language Models (LLMs) in practice incurs substantial memory and computational costs. Post-training pruning (PTP) is an effective approa

CryoProt: A Protein Pretraining Framework with Cross-Box Interactions on Cryo-EM Density Maps

Local AiDGX agent

arXiv:2606.00955v1 Announce Type: new Abstract: Despite the growing availability of cryo-electron microscopy (cryo-EM) density maps, effectively leveraging them for protein representation remains chal

DerMAE: Improving skin lesion classification through conditioned latent diffusion and MAE distillation

Local AiDGX agent

arXiv:2602.19848v2 Announce Type: replace Abstract: Skin lesion classification datasets often suffer from severe class imbalance, with malignant cases significantly underrepresented, leading to biased

DiscourseFlip: An Oblique Discourse-Level Opinion Manipulation Attack against Black-box Retrieval-Augmented Generation

Local AiDGX agent

arXiv:2606.01212v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) systems are widely deployed and increasingly influential, but their reliance on external corpora exposes new secu

DistMatch: Adaptive Binning via Distribution Matching for Robust Sequential Conformal Prediction

Local AiDGX agent

arXiv:2606.00690v1 Announce Type: new Abstract: Sequential conformal prediction (CP) provides valid uncertainty quantification under the assumption of residual exchangeability. However, this assumptio

Don't Read Everything: A Curvature-Conditioned Query for Linear Attention

Local AiDGX agent

arXiv:2606.01294v1 Announce Type: new Abstract: Linear attention reduces the quadratic cost of softmax attention by maintaining a recurrent fast-weight state, but it consistently lags on in-context re

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs

Local AiDGX agent

arXiv:2606.01024v1 Announce Type: cross Abstract: Discrete Masked diffusion language models generate text by iterative parallel decoding, but few-step decoding suffers from a tradeoff between length a

Dynamic Resilient Spatio-Semantic Memory with Hybrid Localization for Mobile Manipulation

Local AiDGX agent

arXiv:2606.00576v1 Announce Type: new Abstract: Reliable mobile manipulation in dynamic indoor environments requires a scene representation that remains geometrically consistent, semantically queryabl

Evolutionary Discovery of Bivariate Bicycle Codes with LLM-Guided Search

Local AiDGX agent

arXiv:2606.02418v1 Announce Type: cross Abstract: Quantum LDPC code discovery requires searching large algebraic design spaces while reliably certifying the parameters and equivalence classes of any c

Excited for Ollama to be working with @nvidia for the NVIDIA RTX Spark launch!

Local AiDGX agent

Excited for Ollama to be working with @nvidia for the NVIDIA RTX Spark launch! NVIDIA RTX Spark: a 1-petaflop superchip, the full CUDA and RTX ecosystem, and Windows-native agents. A new beginning for

Explainable AI Through a Democratic Lens: DhondtXAI for D'Hondt-Projected Feature Attribution

Local AiDGX agent

arXiv:2411.05196v3 Announce Type: replace Abstract: This study presents DhondtXAI as a SHAP-independent, D'Hondt-based attribution framework for tabular XAI. Instead of model-native feature importance

Fast Generalization after Interpolation via Critically Damped Momentum Optimization

Local AiDGX agent

arXiv:2606.01521v1 Announce Type: new Abstract: A central problem in machine learning is that models can achieve near-perfect training performance while generalizing substantially less well to unseen

FDIO: Frequency Decomposed Inertial Odometry

Local AiDGX agent

arXiv:2511.15645v3 Announce Type: replace Abstract: Pedestrian inertial odometry (PIO) estimates autonomous pedestrian motion using only acceleration and angular velocity measurements collected by an

FedMTFI: Feature Importance Based Optimized Multi Teacher Knowledge Distillation in Heterogeneous Federated Learning Environment

Local AiDGX agent

arXiv:2606.01607v1 Announce Type: cross Abstract: Federated learning (FL) is a decentralized approach that enables collaborative model training without exposing raw data. Instead of transferring sensi

Flux klein 9b Comic Character Lora?

Local AiDGX agent

This post discusses creating or using a LoRA (Low-Rank Adaptation) model compatible with Flux Klein 9b, an AI image generation model, specifically for generating comic book-style characters. The discu

ForestMamba: Sparse Mamba with Geometry-guided Queries for 3D Forest Point Cloud Segmentation

Local AiDGX agent

arXiv:2606.01549v1 Announce Type: new Abstract: AI-based semantic and instance segmentation of terrestrial and drone LiDAR point clouds is emerging as a transformative approach for converting the comp

From Features to Actions: Explainability in Traditional and Agentic AI Systems

Local AiDGX agent

arXiv:2602.06841v4 Announce Type: replace Abstract: Over the last decade, Explainable AI has primarily focused on interpreting individual model predictions, producing post-hoc explanations that relate

Generate a complete storyboard from a single prompt, then animate it in Seedance 2.0 using a reference image. This ComfyUI workflow uses LLM…

Local AiDGX agent

Generate a complete storyboard from a single prompt, then animate it in Seedance 2.0 using a reference image. This ComfyUI workflow uses LLMs to expand prompts, create storyboard scenes, and format ev

Geometry-Aware Probabilistic Circuits via Voronoi Tessellations

Local AiDGX agent

arXiv:2603.11946v2 Announce Type: replace-cross Abstract: Probabilistic circuits (PCs) enable exact and tractable inference but employ data independent mixture weights that limit their ability to capt

GitHub - orion4d/Orion4D_anaglyph: Orion4D Anaglyph** is a high-performance custom node designed to transform 2D images into stereoscopic (3D) renders via a depth map. It offers total control over parallax, convergence, and depth processing to ensure optimal visual comfort

Local AiDGX agent

Orion4D Anaglyph is a custom node that converts 2D images into stereoscopic 3D renders using depth maps, offering adjustable parameters for parallax, convergence, and depth processing. Designed for hi

GitHub - orion4d/Orion4D_maskpro: Mask editor for ComfyUI

Local AiDGX agent

Orion4D MaskPro is an advanced mask editor extension for ComfyUI, a popular node-based AI image generation interface. It provides specialized tools for creating and editing masks directly within Comfy

GitHub - orion4d/Orion4D_TextMakerPro: TextMakerPro is a ComfyUI custom node and browser-based text/layout editor designed to create stylized text images directly from ComfyU

Local AiDGX agent

TextMakerPro is a custom node for ComfyUI that includes a browser-based text and layout editor for creating stylized text images within the ComfyUI workflow. The tool allows users to design and genera

GLIDE: Graph-guided Leap Inference for Diffusion Estimation of Spatio-Temporal Point Processes

Local AiDGX agent

arXiv:2606.01273v1 Announce Type: new Abstract: Spatio-temporal point processes (STPPs) provide a principled framework for modeling asynchronous events in continuous time and space. Recent diffusion-b

Heterogeneous Decentralized Diffusion Models

Local AiDGX agent

arXiv:2603.06741v2 Announce Type: replace-cross Abstract: Training frontier-scale diffusion models often requires substantial computational resources concentrated in tightly-coupled clusters, limiting

Hist2Style: Histogram-Guided Stylization with Bilateral Grids

Local AiDGX agent

arXiv:2606.01819v1 Announce Type: new Abstract: Photorealistic style transfer aims to match the color and tone of an input image to that of a style target while preserving the content and details of t

How much is the quality loss in flux 2 klein?

Local AiDGX agent

Flux 2 Klein, the smaller quantized version of the Flux 2 image generation model, exhibits noticeable quality loss through VAE decoding artifacts that manifest as visual degradation in smooth gradient

How Optimality Structures Sparse Dictionaries: A Theory for Understanding SAE Representations

Local AiDGX agent

arXiv:2606.02385v1 Announce Type: cross Abstract: Sparse Autoencoders (SAEs) have found success parsing neural representations into interpretable concepts, providing a basis for understanding and cont

How to add specific knowledge to an ollama model?

Local AiDGX agent

Adds knowledge to Ollama models using Retrieval-Augmented Generation (RAG) , where users create a knowledge base directory with reference files like PDFs, text files, or CSVs . A custom model can be c

HRTFformer: A Spatially-Aware Transformer for Individual HRTF Upsampling in Immersive Audio Rendering

Local AiDGX agent

arXiv:2510.01891v2 Announce Type: replace-cross Abstract: Individual Head-Related Transfer Functions (HRTFs) are starting to be introduced in many commercial immersive audio applications and are cruci

Improving Diffusion Planners by Self-Supervised Action Gating with Energies

Local AiDGX agent

arXiv:2603.02650v2 Announce Type: replace-cross Abstract: Diffusion planners are a strong approach for offline reinforcement learning, but they can fail when value-guided selection favours trajectorie

Keeping sensitive data on device while cloud AI adds scale and context, @perplexity_ai @AravSrinivas demonstrates hybrid local server infere…

Local AiDGX agent

Perplexity AI demonstrates a hybrid approach to AI inference that combines on-device processing for sensitive data with cloud-based AI services to achieve scalability and contextual understanding. Thi

Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support

Local AiDGX agent

arXiv:2606.00991v1 Announce Type: new Abstract: Transportation systems management and operations (TSMO) increasingly depends on timely interpretation of heterogeneous data, from various sensor streams

Latent Diffusion Pretraining for Crystal Property Prediction

Local AiDGX agent

arXiv:2606.00776v1 Announce Type: new Abstract: Fast and accurate prediction of crystal properties is a central challenge in new materials design. Graph neural networks and Transformer-based models ha

Learning Chaotic Dynamics through Second-Order Geometric Supervision

Local AiDGX agent

arXiv:2606.01596v1 Announce Type: cross Abstract: Learning chaotic dynamical systems from data requires more than short-term predictive accuracy: the learned model must preserve the attractor geometry

LLM-Driven Co-Evolutionary Automated Heuristic Design for Bi-Component Coupled Combinatorial Optimization

Local AiDGX agent

arXiv:2606.00718v1 Announce Type: new Abstract: While Large Language Models (LLMs) have recently shown promise in Automated Heuristic Design (AHD), existing methods typically generate and evolve heuri

LookWise: Knowing When and Where to Look for Fine-Grained Visual Reasoning in Multimodal Large Language Models

Local AiDGX agent

arXiv:2603.00171v3 Announce Type: replace-cross Abstract: Multimodal Large Language Models (MLLMs) are shifting towards 'Thinking with Images' by actively exploring image details. While effective, lar

MENTIS: What Belief Changes Under Alignment? Measuring Multi-Scale Latent Torsion in Language Models

Local AiDGX agent

arXiv:2606.01060v1 Announce Type: cross Abstract: Preference alignment has substantially improved the observable behavior of large language models, yet it remains unclear what alignment changes intern

Microsoft announces new on-device AI updates for Edge: a dev preview of a new SLM called Aion-1.0-Instruct, Language Detector and Translator APIs, and more (Paul Thurrott/Thurrott)

Local AiDGX agent

Paul Thurrott / Thurrott: Microsoft announces new on-device AI updates for Edge: a dev preview of a new SLM called Aion-1.0-Instruct, Language Detector and Translator APIs, and more — Tied to the earl

Microsoft announces the new Surface RTX Spark Dev Box for local AI development, powered by Nvidia's new Arm-based RTX Spark chips and 128GB of unified memory (Tom Warren/The Verge)

Local AiDGX agent

Tom Warren / The Verge: Microsoft announces the new Surface RTX Spark Dev Box for local AI development, powered by Nvidia's new Arm-based RTX Spark chips and 128GB of unified memory — The Surface RTX

Microsoft created the mini Surface dev box that Qualcomm couldn’t

Local AiDGX agent

Microsoft only just announced a new Surface Laptop Ultra at the weekend, and it's now revealing a miniature Surface PC aimed at developers. The new Surface RTX Spark Dev Box is powered by Nvidia's new

Multi-view Pyramid Transformer: Look Coarser to See Broader

Local AiDGX agent

arXiv:2512.07806v2 Announce Type: replace Abstract: We propose Multi-view Pyramid Transformer (MVP), a scalable multi-view transformer architecture that directly reconstructs large 3D scenes from tens

Multimodal Function Vectors for Visual Relations

Local AiDGX agent

arXiv:2510.02528v2 Announce Type: replace Abstract: Large Multimodal Models (LMMs) demonstrate impressive in-context learning abilities from few multimodal demonstrations, yet the internal mechanisms

Non-vacuous Generalization Bounds for Deep Neural Networks without any modification to the trained models

Local AiDGX agent

arXiv:2503.07325v2 Announce Type: replace Abstract: Understanding and certifying the behavior of modern deep neural networks remains a fundamental challenge in reliable machine learning. We introduce

NVIDIA Partners With Microsoft on Unified Stack for Agentic AI Deployment, From Windows Devices to Cloud to Local

Local AiDGX agent

The agentic AI moment has arrived, but delivering on its promise requires more than good models. It also takes fast hardware, secure runtimes, a responsive data layer and models tuned for long-running

Ollama can't list this C# game script, because it might cause destruction.

Local AiDGX agent

A Reddit post discussing an issue where Ollama (an AI model tool) refuses to process or list a C# game script due to safety concerns about potential destructive code. The post likely explores the limi

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