Knowledge catalogue
MinusPod is a fully self-hostable podcast proxy tool that removes ads from podcasts using Whisper transcription and serves modified RSS feeds compatible with any podcast app. Its pipeline uses W...
MLX is an open-source machine learning framework developed by Apple ML researcher Awni Hannun and colleagues, announced on December 5, 2023, and designed specifically for Apple Silicon hardware. Th...
I was unable to retrieve the specific Reddit thread at the provided URL, and the search results did not return content from that exact post. The search results returned related but distinct issues ...
In 2025, CivitAI underwent several significant platform changes. In April–May 2025, CivitAI tightened rules around extreme/illegal content and real-person likenesses. After its payment processor...
OpenClaude is an open-source coding-agent CLI, forked from the Claude Code source, that adds an OpenAI-compatible provider shim enabling use of GPT-4o, DeepSeek, Gemini, Ollama local models, and 20...
A factual description for this entry would be: This model is a base version of Qwen 3.5 with a 4-billion parameter count, optimized using ZitGen techniques. It is likely used for supplementary or f...
Users in the r/ollama community reported that Qwen3.5 models fail to install or load in Ollama, with common errors including 'Error: 500 Internal Server Error: unable to load model' even after a ...
For users running Ollama on an NVIDIA RTX 4060 Ti with 8GB VRAM and 16GB system RAM, the community consensus recommends 7B–8B parameter models (such as Llama 3.1 8B, Mistral 7B, or Qwen 8B) using Q...
When using Ollama Pro's cloud models with OpenClaw, a local Ollama installation is not strictly required — OpenClaw is an AI agent execution layer that handles tools, memory, scheduling, and messa...
Ollama v0.20.5, released on April 9, 2026, introduces OpenClaw channel setup support, enabling users to connect WhatsApp, Telegram, Discord, and other messaging platforms via `ollama launch opencla...
Ollama v0.20.6-rc0 is a pre-release update to the Ollama local model runner, published on April 10, 2026. Key changes include adding a Hermes agent integration guide to the docs, fixing missing par...
ComfyUI-VoxCPM is a custom node that integrates VoxCPM — a novel tokenizer-free Text-to-Speech system that models speech in a continuous space — directly into ComfyUI's visual workflow environmen...
I was unable to retrieve the specific content from the X (Twitter) URL provided (`https://x.com/twid/status/2042425382859841926`), as it is a social media post that requires authentication to acces...
I was unable to retrieve the content of the specified Reddit URL directly, as my web search tool does not fetch raw URLs or Reddit threads directly, and I've exhausted my search attempts for this t...
This tutorial demonstrates how to use mitmproxy to inspect the actual HTTP traffic sent from a Quarkus application to a local Ollama model via its OpenAI-compatible endpoint, revealing the real JSO...
A Reddit thread in the r/ollama community discusses using **Open Notebook** — an open-source, self-hosted alternative to Google's NotebookLM — which eliminates data limits and privacy concerns by r...
llama.cpp release **b8737** is a focused maintenance build that adds missing CUDA error handling to the ggml backend. Specifically, it checks the return values of NVIDIA CUB library calls used in t...
llama.cpp release **b8738** is a build from the [ggml-org/llama.cpp](https://github.com/ggml-org/llama.cpp) project introducing experimental backend-agnostic tensor parallelism, enabled via the `--...
llama.cpp release **b8739** is a build of the open-source C/C++ LLM inference engine that introduces HIP backend support for the CDNA4 (gfx950) GPU architecture, enabling hardware acceleration on A...
I was unable to retrieve the specific Reddit post or locate detailed documentation about the **ComfyUI-ConnectTheDots** extension through my searches. Based on what the title describes and related ...
A Reddit thread (r/ollama) where a user reports errors when attempting to run Ollama cloud-hosted models via the VS Code integrated terminal. The discussion reflects a broader known issue where env...
Microsoft Foundry Local is now generally available as an end-to-end local AI solution that enables developers to bring AI inference directly into their applications with no cloud dependency, no net...
Microsoft's VibeVoice-Realtime-0.5B is an open-source TTS model that generates natural-sounding speech with voice cloning capabilities . A community-built wrapper project (`marhensa/vibevoice-real...
I was unable to retrieve the specific Reddit post content from the search results. The page at the provided URL (reddit.com/r/StableDiffusion/comments/1sgvi4v) was not indexed or returned in the se...
OmniVoice is an open-source, zero-shot multilingual text-to-speech model developed by the k2-fsa (Xiaomi AI Lab) team, supporting over 600 languages — the broadest language coverage of any zero-sho...
A Reddit post in r/ollama describes a user's experience attempting to run LLMs locally via Ollama to avoid cloud API costs, only to encounter severely degraded performance — waiting 13 minutes for ...
Local AI tools such as Ollama, LM Studio, and Jan all rely on the same underlying inference engine (llama.cpp) and support compatible model formats (primarily GGUF), meaning a single downloaded mod...
Users are running Google's Gemma 4 models locally via Ollama and accessing them on their phones through Open WebUI, reporting a positive experience. Since Ollama doesn't run natively on iOS or And...
Ollama v0.20.5-rc0 is a release candidate for the v0.20.5 version of the Ollama open-source project, which enables users to run large language models locally. The stable v0.20.5 release that follow...
**v0.20.5-rc2** is a pre-release release candidate for the Ollama open-source local LLM runner (github.com/ollama/ollama), published around April 10, 2026, as part of the v0.20.5 release cycle. It ...
I was unable to retrieve the specific content from either the YouTube video (`https://www.youtube.com/watch?v=LTmQ5ra-DD4`) or the X/Twitter post (`https://x.com/ComfyUI/status/2041952671998079213`...
I was unable to retrieve the specific content of the referenced X (Twitter) post, as X/Twitter requires JavaScript and a login to access individual tweets, and the search results did not surface th...
Alex Cheema is the co-founder of Exo Labs, a startup founded in March 2024 to 'democratize access to AI' through open source multi-device computing clusters. The core product, *exo*, connects al...
Ollama v0.20.4 is a minor patch release published on April 7, 2026, containing two changes: improved Apple Silicon M5 performance via NAX on the MLX backend, and enabled flash attention for the Gem...
Ollama v0.20.4-rc2 is a release candidate that addresses a compatibility issue with Flash Attention (FA) for the Gemma 4 model on older GPUs. CUDA versions older than 7.5 lack the support needed t...
arXiv:2610.13479v1 Announce Type: new Abstract: Generating edge case scenarios is crucial for training, testing and safety assuring autonomous systems. This identifies hazardous failures to increase s
arXiv:2610.13744v1 Announce Type: new Abstract: On-policy self-distillation promises to replace the sparse outcome signal of verifiable-reward RL with dense token-level credit: a teacher conditioned o
arXiv:2603.03753v2 Announce Type: replace-cross Abstract: The ongoing shift of Artificial Intelligence (AI) from centralized cloud application programming interfaces (APIs) to local inference on edge
arXiv:2610.12843v1 Announce Type: cross Abstract: Fewer latent tokens promise cheaper diffusion. Yet aggressive latent compression creates a reconstruction-generation dilemma: adding channels improves
arXiv:2610.13277v1 Announce Type: cross Abstract: Memory-augmented assistants retrieve evidence from stored conversations and documents to answer queries. Most embedding-based retrievers compare singl
arXiv:2610.13113v1 Announce Type: cross Abstract: Continual post-training faces a dual challenge of acquisition and retention: models must learn new capabilities while preserving prior knowledge. Whil
arXiv:2610.12514v1 Announce Type: cross Abstract: Autoregressive video diffusion models maintain a growing attention key-value (KV) cache, making memory a key bottleneck for long video generation. Rec
arXiv:2507.19608v2 Announce Type: replace Abstract: On-device LLM inference is increasingly important for edge platforms but remains challenging due to high computational and memory demands and tight
arXiv:2610.12637v1 Announce Type: new Abstract: We consider hole closure in a planar multi-agent system whose sensing disks form a time-varying Cech complex. We propose a harmonic-covariance feedback
arXiv:2610.13112v1 Announce Type: new Abstract: Large audio-language models (LALMs) frequently exhibit object hallucination, affirming absent sounds. The dominant mitigation, Audio-Aware Decoding (AAD
arXiv:2610.13132v1 Announce Type: new Abstract: LLM-as-a-Service has become a dominant paradigm for accessing large language models without requiring local deployment. However, the process raises seve
arXiv:2610.12796v1 Announce Type: cross Abstract: Audio-visual speech enhancement (AVSE) improves speech intelligibility in noisy environments but often relies on computationally expensive models unsu
arXiv:2610.12541v1 Announce Type: new Abstract: Boundary-value problems for the Laplace equation develop singular behaviour near corners, edges and junctions that smooth approximators resolve poorly.
arXiv:2610.13337v1 Announce Type: cross Abstract: Attention sinks are tokens or positions that consistently receive disproportionate attention mass, often beyond what their semantic content would sugg
arXiv:2610.13035v1 Announce Type: cross Abstract: Multi-view representations enable pretrained image and video vision-language models to understand 3D scenes, but their long visual token sequences mak
arXiv:2601.13600v2 Announce Type: replace Abstract: NLP systems increasingly aggregate claims from retrieved passages, documents, and generated reasoning steps. Yet current factuality methods mostly v
arXiv:2511.01047v4 Announce Type: replace-cross Abstract: Automated program repair (APR) has recently shifted toward large language models and agent-based systems, while prior work shows that reposito
arXiv:2610.13935v1 Announce Type: cross Abstract: Interpreting machine learning model predictions is a central challenge, particularly for black-box vision models. Concept-based attribution methods in
arXiv:2610.13717v1 Announce Type: new Abstract: Federated clustering can support applications such as patient stratification across hospitals and customer segmentation across distributed financial dat
arXiv:2610.13794v1 Announce Type: new Abstract: Discourse particles subtly shape the flow of discourse by reflecting conversational context and interlocutor attitudes, often leaving the truth-conditio
arXiv:2610.13373v1 Announce Type: new Abstract: Translating language into humanoid motion requires coordinating body parts, determining motion duration, and producing references suitable for robot exe
arXiv:2610.13557v1 Announce Type: new Abstract: Anticipation of vessel trajectories is an essential task when navigating at sea. This applies to both human navigators and autonomous surface vessels. T
I wanted to track grocery spending per item without sending my receipts to anyone, so I built an Android app around a small vision model that reads a photo of a receipt into JSON: store, date, total,
arXiv:2610.13166v1 Announce Type: new Abstract: Terminal agents are moving beyond local operations toward completing real-world professional tasks. Short trajectories can demonstrate commands and tool
arXiv:2610.12768v1 Announce Type: cross Abstract: Semantic query engines evaluate natural-language filters with a large language model, and every evaluation is a costly oracle call. Optimizers that re