Search: “local-ai”

arXiv:2604.15775v1 Announce Type: new Abstract: Learning with large-scale datasets and information-critical applications, such as in High Energy Physics (HEP), demands highly complex, large-scale mode

arXiv:2503.07520v5 Announce Type: replace Abstract: Traditional supervised drone-view geo-localization (DVGL) methods heavily depend on paired training data and encounter difficulties in learning cros

Getting started: - Update ComfyUI to the latest version (or visit Comfy Cloud) - Search “Quiver” in the Template Library - Load a workflow and generate For more details: https://links.comfy.org/4vQQDW

arXiv:2604.15495v1 Announce Type: new Abstract: Navigating complex, densely packed environments like retail stores, warehouses, and hospitals poses a significant spatial grounding challenge for humans

arXiv:2604.15699v1 Announce Type: new Abstract: Graph self-supervised learning can reduce the need for labeled graph data and has been widely used in recommendation, social networks, and other web app

Image to SVG: Drop in a raster image (a photo, a sketch, a screenshot, or the output of another ComfyUI node) and Quiver traces it into a clean SVG. Properly vectorized paths, not an embedded bitmap.

This Reddit post from r/StableDiffusion discusses the challenges of achieving high-quality hair rendering in AI-generated images, with the user comparing their generated results to a reference image a

Kimi K2.6, 1T params runs on my desktop GPU workstation. 192GB VRAM + 475GB RAM Serious contender to be the best open coding LLM on Earth. We'll see I'm checking their default harness. Goes on and on

Kimi K2.6 is an open-source model featuring advanced coding, long-horizon execution, and agent swarm capabilities that is now available via Ollama Cloud . The model excels in coding and agentic tools

arXiv:2602.07303v3 Announce Type: replace-cross Abstract: Log anomaly detection is crucial for uncovering system failures and security risks. Although logs originate from nested component executions w

A benchmarking post testing 63 different samplers combined with the linear_quadratic noise scheduler for LTX-2.3 (Lightricks' audio-video generation model) . The linear_quadratic scheduler was origina

arXiv:2604.15729v1 Announce Type: cross Abstract: Whole Slide Image (WSI) analysis is pivotal in computational pathology, enabling cancer diagnosis by integrating morphological and architectural cues

Ollama has made the Kimi K2.6 model available in its library, allowing users to run this model locally through the Ollama platform. The announcement highlights expanded integration options documented

ComfyUI-KleinRefGrid is a custom node release for ComfyUI that provides a reference grid interface for convenient image referencing during the generative AI workflow. The node extends ComfyUI's node-b

arXiv:2604.15893v1 Announce Type: new Abstract: Intelligent fetal ultrasound (US) interpretation is crucial for prenatal diagnosis, but high annotation costs and operator-induced variance make unsuper

arXiv:2510.22149v3 Announce Type: replace-cross Abstract: Federated learning (FL) has emerged as a promising paradigm for decentralized model training, enabling multiple clients to collaboratively lea

arXiv:2604.15385v1 Announce Type: cross Abstract: Software documentation is essential for program comprehension, developer onboarding, code review, and long-term maintenance. Yet producing quality doc

arXiv:2510.06953v3 Announce Type: replace Abstract: The Uniform Information Density (UID) hypothesis proposes that effective communication is achieved by maintaining a stable flow of information. In t

arXiv:2604.16263v1 Announce Type: new Abstract: Coordinating multi-robot systems (MRS) to search in unknown environments is particularly challenging for tasks that require semantic reasoning beyond ge

Sharing an OS tool I have been building for a few weeks: http://opentraces.ai - git for agent traces. With OT, you have a local client that helps you santise, review and securely share traces from you

arXiv:2603.19339v2 Announce Type: replace-cross Abstract: Dimensionality reduction is critical for deploying dense retrieval systems at scale, yet mainstream post-hoc methods face a fundamental trade-

arXiv:2511.20834v2 Announce Type: replace-cross Abstract: Sparse Convolution (SpC) powers 3D point cloud networks widely used in autonomous driving and augmented/virtual reality. SpC builds a kernel m

arXiv:2604.16070v1 Announce Type: new Abstract: We present TableSeq, an image-only, end-to-end framework for joint table structure recognition, content recognition, and cell localization. The model fo

arXiv:2508.16739v2 Announce Type: replace Abstract: Unmanned Aerial Vehicles (UAVs) have become increasingly important in disaster emergency response by facilitating aerial video analysis. Due to the

ComfyUI's HY 3D 3.0 nodes enable rapid 3D asset generation from single or multi-view images, producing high-fidelity 3D models suitable for applications including product visualization and game develo

arXiv:2601.12193v3 Announce Type: replace Abstract: Modern video retrieval systems are expected to handle diverse tasks ranging from corpus-level retrieval, fine-grained moment localization to flexibl

arXiv:2604.15613v1 Announce Type: cross Abstract: We present VoodooNet, a non-iterative neural architecture that replaces the stochastic gradient descent (SGD) paradigm with a closed-form analytic sol

arXiv:2604.16248v1 Announce Type: new Abstract: Image geolocalization has traditionally been addressed through retrieval-based place recognition or geometry-based visual localization pipelines. Recent

This post compares two high-end graphics cards—the AMD Radeon RX 7900 XTX and NVIDIA GeForce RTX 4070 Ti Super—across multiple demanding workloads including gaming, AI image generation with Comfy UI,

b8841 is a release of llama.cpp dated April 18, 2026 , a C/C++ library for large language model inference. The main goal of llama.cpp is to enable LLM inference with minimal setup and state-of-the-art

b8842 is a release of llama.cpp, a C/C++ implementation for LLM inference. The llama.cpp project publishes multiple releases in a single day as part of its active development cycle. This specific rele

B8846 is a release version of llama.cpp, a C/C++ inference engine for running large language models locally. The release includes pre-built binaries and libraries for multiple platforms including macO

b8848 is a release from llama.cpp, an open-source C/C++ project for LLM inference . This release builds on the rapidly-developing codebase with regular updates that include bug fixes, feature improvem

b8850 is a release of llama.cpp that includes CUDA refactoring for AMD matrix multiplication acceleration, with fixes for CDNA and RDNA3 GPU architectures . The release provides precompiled binaries a

The llama.cpp project is the main playground for developing new features for the ggml library , and the main goal of llama.cpp is to enable LLM inference with minimal setup and state-of-the-art perfor

Congratulations to the @ollama team for shipping the Copilot CLI support! ollama launch copilot Ollama now supports GitHub's Copilot CLI, the terminal agent that works directly with repositories on Gi

An open-source debugging tool designed for AI pipelines that provides trace timeline visualization, differential analysis, node replay capabilities, and operates without telemetry, licensed under MIT.

This post discusses Graph RAG, an approach that uses local LLMs with Ollama to build graph-based knowledge indexes from source documents by deriving entity knowledge graphs and pregenerating community

Good morning, everyone! TLDR: full base weights for healed 18b merge are LIVE! I am so blessed and excited by all of the support for my frankenmerge of Jackrongs models. Positive and negative feedback

Chroma1-HD is recommended for quick fine-tuning or LoRA on high-resolution 1024x1024 images . The model applies a quadratic remapping to timestep sampling to ensure training visits tail regions more o

This GitHub project (AG-X) implements deterministic safety checks for Ollama agents, designed to catch malformed JSON responses, detect prompt injection attempts, and handle model refusals before they

This resource provides documentation on integrating Ollama with Copilot CLI, enabling users to leverage Ollama's local language models within the Copilot command-line interface. The integration allows

Oh, hi! 👋 Copilot in Ollama ollama launch copilot Ollama now supports GitHub's Copilot CLI, the terminal agent that works directly with repositories on GitHub. You can use it to: Explore issues and PR

ollama launch copilot Ollama now supports GitHub's Copilot CLI, the terminal agent that works directly with repositories on GitHub. You can use it to: Explore issues and PRs. Search across repos by la

Ollama now natively supports Copilot CLI! Bring your own models, and even work completely offiline! ollama launch copilot Ollama now supports GitHub's Copilot CLI, the terminal agent that works direct

This post is a thank you acknowledgment from the Ollama project to a contributor (@scaryrawr) for their assistance with pull request #15583 on the Ollama GitHub repository. The tweet references a spec