b8763
llama.cpp build b8763 is a release of the open-source C/C++ LLM inference library, published on April 11, 2025, with the primary change being a CUDA optimization to skip compilation of superfluous fla
Knowledge catalogue
llama.cpp build b8763 is a release of the open-source C/C++ LLM inference library, published on April 11, 2025, with the primary change being a CUDA optimization to skip compilation of superfluous fla
A Reddit user in the r/StableDiffusion community shared a self-built local image browser tool designed to bring order to the chaotic output folders that accumulate from AI image generation workflows.
ClawOS is a Debian/Ubuntu-based pre-configured environment designed to streamline the setup of local AI agents by bundling OpenClaw and Ollama together, eliminating the need for cloud API keys. Ollama
The 'Color Anchor Node Flux2Klein' is a custom ComfyUI node designed to address color drift issues that occur when using FLUX.2 Klein for image editing. When using a reference latent, the model gradua
This Reddit thread from r/StableDiffusion discusses how to convert a ComfyUI visual node-based workflow into a standalone, executable Python script. Tools like the ComfyUI-to-Python-Extension bridge t
A Reddit user on r/StableDiffusion shared their personal project of building their own Stable Diffusion implementation from scratch, likely detailing their motivation, technical approach, and early re
This Reddit thread from r/StableDiffusion addresses a common point of confusion among users of Stable Diffusion UIs (such as Stable Diffusion WebUI Forge) regarding whether selecting a 'UI Preset' is
'Echo Chamber' is an AI-generated song shared on r/StableDiffusion showcasing the capabilities of ACE-Step v1.5, a highly efficient open-source music foundation model that achieves commercial-grade ge
This r/StableDiffusion thread discusses how to fine-tune the LTX-Video 2.3 model on a personal dataset, with the primary approach being LoRA (Low-Rank Adaptation), which fine-tunes a large AI model on
This Reddit post from r/ollama likely discusses how to configure the Goose desktop application — an open-source, autonomous AI agent developed by Block — to work with Ollama Cloud as its LLM provider.
A Reddit thread in r/ollama where a user reports experiencing AI hallucination issues when running local language models through Ollama. The discussion likely covers symptoms such as models generating
A developer shared an open-source Android keyboard on r/ollama that integrates local AI capabilities by connecting to self-hosted inference servers such as Ollama, LM Studio, or any OpenAI-compatible
A Reddit post from the r/StableDiffusion community in which a user shares an experience of being trolled, likely related to AI image generation workflows, model recommendations, or settings advice. Th
A Reddit post on r/ollama announcing an update to **Infinidev**, an AI-assisted development tool in the Ollama ecosystem, highlighting new enhanced capabilities described as 'superpowers.' Based on th
A Reddit post on r/StableDiffusion in which a user shares a music video created entirely using AI-generated imagery produced on their own local hardware, likely using tools such as Stable Diffusion wi
This r/ollama community post is a practitioner's guide sharing personal, real-world experience running Ollama on everyday consumer hardware in 2026, covering which models, quantization settings, and c
This Reddit post from r/StableDiffusion introduces new custom nodes for ComfyUI designed to handle and visualize bounding boxes (bboxes) in image workflows. The BboxVisualize node highlights specified
This r/ollama thread discusses community comparisons between accessing GLM models via Ollama Cloud versus using the ZAI coding plan subscription, focusing on real-world performance and reliability dif
This Reddit thread from r/ollama discusses a user experiencing Ollama suddenly failing to function on a new MacBook, a problem that has been widely reported across the community. Common causes in such
This Reddit thread likely discusses how to integrate Ollama with Visual Studio Code to enable locally-run AI assistance directly within the editor. The typical setup involves VS Code running the Conti
ComfyUI Image Conveyor is a custom node for ComfyUI that enables users to build a sequential image queue by dragging and dropping images directly into the node, streamlining batch image processing wor
This Reddit post from r/StableDiffusion discusses an SDXL (Stable Diffusion XL) image generation workflow, likely covering pipeline setup, prompting strategies, and tool configurations using interface
A Reddit user on r/StableDiffusion shared a custom-built suite of creative nodes designed for use with ComfyUI, the popular node-based Stable Diffusion interface. The suite likely extends ComfyUI's de
A Reddit post from the r/StableDiffusion community titled 'The classic UX you know and love' likely features a humorous or nostalgic reference to the user interface of a popular Stable Diffusion front
Vheer is an img2img tool shared on the r/StableDiffusion community, likely a web-based or standalone application that leverages Stable Diffusion's image-to-image generation capabilities to transform e
This r/StableDiffusion thread discusses community recommendations for the highest-quality image generation models available. Flux 2 is widely regarded as arguably the best overall image generation mod
A Reddit discussion from the r/ollama community where a user seeks advice on which AI language model to run locally using Ollama. Responses likely include hardware-based recommendations (such as RAM a
This Reddit thread discusses the status of official Ollama support for AMD's RX 9000 series (RDNA 4) GPUs, such as the RX 9070 and 9070 XT. Ollama supports AMD GPUs via the ROCm library, but ROCm does
The Wan 2.2 NSFW Remix Lightning Model is a fine-tuned variant of the base Wan 2.2 video generation model, distinguished by its blending of open-source motion LoRA data and refined pose training for e
arXiv:2604.06289v1 Announce Type: cross Abstract: In this paper, we analyze and improve the adversarial robustness of a convolutional neural network (CNN) that assists crystal-collimator alignment at
arXiv:2506.06975v5 Announce Type: replace-cross Abstract: As API access becomes a primary interface to large language models (LLMs), users often interact with black-box systems that offer little trans
arXiv:2604.08014v1 Announce Type: new Abstract: Spatio-Temporal Video Grounding requires jointly localizing target objects across both temporal and spatial dimensions based on natural language queries
arXiv:2604.06808v1 Announce Type: cross Abstract: This paper presents CBM-Dual, the first silicon-proven digital chaotic dynamics processor (CDP) supporting both simulated annealing (SA) and reservoir
arXiv:2604.07304v1 Announce Type: cross Abstract: Large Language Models (LLMs) challenge conventional automated programming assessment because students can now produce functionally correct code withou
arXiv:2511.20779v2 Announce Type: replace Abstract: Globally interpretable models are a promising approach for trustworthy AI in safety-critical domains. Alongside global explanations, detailed local
arXiv:2603.20698v2 Announce Type: replace-cross Abstract: Multimodal Large Language Models (MLLMs) have demonstrated remarkable potential in medical image analysis. However, their application in gastr
arXiv:2604.06198v1 Announce Type: cross Abstract: The rapid rise of generative artificial intelligence (AI) is driving unprecedented growth in global computational demand, placing increasing pressure
arXiv:2401.00870v5 Announce Type: replace-cross Abstract: State-of-the-art large language models (LLMs) are typically deployed as online services, requiring users to transmit detailed prompts to cloud
arXiv:2604.07892v1 Announce Type: new Abstract: Instruction-tuned language models increasingly rely on large multi-turn dialogue corpora, but these datasets are often noisy and structurally inconsiste
arXiv:2406.06408v2 Announce Type: replace-cross Abstract: Best Arm Identification (BAI) problems are progressively used for data-sensitive applications, such as designing adaptive clinical trials, tun
arXiv:2604.07003v1 Announce Type: new Abstract: Large language models (LLMs) has been widely used for automated negotiation, but their high computational cost and privacy risks limit deployment in pri
arXiv:2604.06838v1 Announce Type: new Abstract: In this paper, we propose using Learning from Answer Sets to approximate black-box models, such as Neural Networks (NN), in the specific case of learnin
arXiv:2512.24290v2 Announce Type: replace-cross Abstract: Optical-readout Time Projection Chambers (TPCs) produce megapixel-scale images whose fine-grained topological information is essential for rar
arXiv:2604.06795v1 Announce Type: cross Abstract: Federated Learning (FL) enables decentralized model training across multiple clients without exposing private data, making it ideal for privacy-sensit
arXiv:2604.06833v1 Announce Type: cross Abstract: As high quality public data becomes scarce, Federated Learning (FL) provides a vital pathway to leverage valuable private user data while preserving p
arXiv:2603.26588v2 Announce Type: replace-cross Abstract: We present ToothCraft, a diffusion-based model for the contextual generation of tooth crowns, trained on artificially created incomplete teeth
arXiv:2604.06018v2 Announce Type: replace-cross Abstract: This study examines the perception of legal professionals on the governance of AI in developing countries, using Nigeria as a case study. The
arXiv:2512.22416v2 Announce Type: replace Abstract: Hallucinations in Large Language Models (LLMs) pose a significant challenge, generating misleading or unverifiable content that undermines trust and
arXiv:2604.06715v1 Announce Type: cross Abstract: Remote sensing semantic segmentation requires models that can jointly capture fine spatial details and high-level semantic context across complex scen
arXiv:2604.07027v1 Announce Type: new Abstract: Nonstationarity is ubiquitous in practical classification settings, leading deployed models to perform poorly even when they generalize well to holdout
arXiv:2601.04068v3 Announce Type: replace Abstract: Aligning text-to-video diffusion models with human preferences is crucial for generating high-quality videos. Existing Direct Preference Otimization
arXiv:2604.06798v1 Announce Type: cross Abstract: Mixture-of-Experts (MoE) based large language models (LLMs) offer strong performance but suffer from high memory and computation costs. Weight binariz
arXiv:2604.07578v1 Announce Type: new Abstract: Recognition of rodent behavior is important for understanding neural and behavioral mechanisms. Traditional manual scoring is time-consuming and prone t
arXiv:2604.03336v2 Announce Type: replace Abstract: BitNet b1.58 (Ma et al., 2024) demonstrates that large language models can operate entirely on ternary weights {-1, 0, +1}, yet no native binary wir
arXiv:2503.24135v3 Announce Type: replace Abstract: Weakly supervised object localization (WSOL) methods allow training models to classify images and localize ROIs. WSOL only requires low-cost image-c
arXiv:2604.06912v1 Announce Type: cross Abstract: MLLMs require high-resolution visual inputs for fine-grained tasks like document understanding and dense scene perception. However, current global res
arXiv:2604.08502v1 Announce Type: new Abstract: Class Activation Mapping (CAM) methods are widely used to generate visual explanations for deep learning classifiers in medical imaging. However, existi
arXiv:2604.07298v1 Announce Type: cross Abstract: Multiple Instance Learning (MIL) is the dominant framework for gigapixel whole-slide image (WSI) classification in computational pathology. However, c
arXiv:2604.07994v1 Announce Type: new Abstract: Transformer-based approaches have revolutionized image super-resolution by modeling long-range dependencies. However, the quadratic computational comple
arXiv:2604.08542v1 Announce Type: new Abstract: This paper addresses the task of large-scale 3D scene reconstruction from long video sequences. Recent feed-forward reconstruction models have shown pro