OpenPI
OpenPI (stylized openpi) is the open-source repository of robot foundation models, training code, and inference utilities published by Physical Intelligence, the San Francisco robotics and AI startup…
Open Source AI
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Showing 301-360 of 444 articles
OpenPose
OpenPose is an open-source library for real-time multi-person 2D pose estimation that detects body, foot, hand, and facial keypoints in images and video.
OpenResearch
OpenResearch is an open-source workspace for coordinating coding agents during computational research.
OpenRoboto
OpenRoboto is a robotics model competition that runs as subnet 80 on the Bittensor network.
OpenScience
OpenScience is an open-source, model-agnostic AI research workbench built by Synthetic Sciences, a San Francisco startup in Y Combinator's Winter 2026 batch.
OpenVINO
OpenVINO (Open Visual Inference and Neural Network Optimization) is an open-source toolkit developed by Intel for optimizing and deploying deep learning inference across a heterogeneous set of Intel hardware…
OpenVLA
OpenVLA is a 7-billion-parameter open-source vision-language-action model (VLA) for robotic manipulation, released in June 2024 by a collaboration of researchers from Stanford University, UC Berkeley, the…
OpenWorker
OpenWorker is an open-source, local-first desktop AI agent announced by Andrew Ng. It combines a desktop interface with a local agent server that can work with files, a terminal, and connected services.
Optimum-Quanto
Optimum Quanto, commonly referred to as Quanto, is a PyTorch-based quantization toolkit developed and maintained by Hugging Face that provides linear weight and activation quantization across multiple devices…
Outlines (library)
Outlines is an open-source Python (programming language) library, released under the Apache 2.0 license, that constrains large language model output to user-specified structures: regular expressions, function…
PaddlePaddle
PaddlePaddle (Chinese name Feijiang, 飞桨) is an open-source deep learning framework developed by the Chinese technology company Baidu, and it is generally described as the first deep learning platform developed…
PaliGemma
PaliGemma is an open vision-language model developed by Google that pairs the SigLIP image encoder with a Gemma language model, takes an image plus a text prompt as input, and produces text as output.
Petri (auditing tool)
Petri is an open-source tool, released by Anthropic, that automates parts of AI alignment auditing by using one AI model to probe another and a third to score what happens.
Phi (language model)
Phi is a family of open-weight small language models (SLMs) developed by Microsoft Research, beginning with Phi-1 in June 2023 and spanning thirteen-plus releases through Phi-4-reasoning-vision-15B in March…
Phi-3
Phi-4
Phi-4 is a 14-billion-parameter small language model developed by Microsoft Research and released in December 2024, designed to match or beat models several times its size on reasoning tasks by training…
Phi-4 Reasoning
Phi-4-reasoning is a 14 billion parameter open weight reasoning model released by Microsoft Research on April 30, 2025.
Phi-4-mini
Phi-4-mini is a 3.8 billion parameter open weight small language model released by Microsoft on February 26, 2025, under the permissive MIT license.
Phi-4-mini-flash-reasoning
Phi-4-mini-flash-reasoning is a 3.8 billion parameter open weight reasoning model released by Microsoft in July 2025.
Pi (agent framework)
Pi is an open-source coding agent and agent harness written in TypeScript, created in 2025 by the Austrian developer Mario Zechner and owned since April 2026 by Earendil Inc., a public benefit corporation…
Pipecat
Pipecat is an open-source Python framework for building real-time voice and multimodal conversational AI agents.
Pixtral
Pixtral is a family of multimodal vision-language models developed by Mistral AI, a French AI company founded in April 2023.
Pixtral Large
Pixtral Large is a 124-billion-parameter multimodal (vision-language) large language model released by Mistral AI on November 18, 2024.
Pleias
Pleias (stylized PleIAs) is a Paris based artificial intelligence laboratory and small company that designs, pretrains, and releases large language models trained exclusively on public domain and permissively…
Prime Agent
Prime Agent is an open-source coding agent with a terminal user interface, released by Prime Intellect on August 5, 2026.
Proprietary vs. Open Source Large Language Models (LLMs)
The split between proprietary and open-source large language models (LLMs) is one of the defining structural choices in modern artificial intelligence.
Proto (Generative Biology)
Proto is an open-source programming framework for generative biology developed by researchers at Stanford University and the Arc Institute.
Purple Llama
Purple Llama is an umbrella project from Meta that bundles open, permissively licensed trust and safety tools and evaluations for generative AI.
PyTorch
PyTorch is an open-source software library for tensor computation and machine learning.
Pydantic AI
Pydantic AI is an open-source Python framework for building large language model (LLM) agents, developed by Pydantic Services Inc. and released in beta on December 2, 2024.
Qdrant
Qdrant (pronounced "quadrant") is an open-source vector database and similarity search engine written in Rust and designed for high-performance retrieval over high-dimensional data.
QwQ
QwQ is a family of open-weight reasoning models from the Qwen team at Alibaba Cloud, built to compete with OpenAI's o1 and DeepSeek-R1 at a fraction of their size.
Qwen
Qwen is a family of large language models and multimodal models developed by the Qwen Team at Alibaba Cloud.
Qwen-VL
Qwen-VL is the first family of open vision-language (multimodal) models from the Qwen team at Alibaba Cloud, able to take images, text, and bounding boxes as input and produce text and bounding boxes as output.
Qwen2
Qwen2 is the second major generation of open large language models developed by the Qwen team at Alibaba Cloud, released on 6 June 2024.
Qwen2-VL
Qwen2-VL is a family of open-weight vision-language models released by the Qwen team at Alibaba Cloud between August and September 2024, in 2B, 7B, and 72B Instruct sizes.
Qwen2.5
Qwen2.5 is a family of open-weight large language models that Alibaba Cloud's Qwen team released on 19 September 2024, spanning seven dense sizes from 0.5 billion to 72 billion parameters, pretrained on…
Qwen2.5-Math
Qwen2.5-Math is a family of mathematics-specialized large language models developed by the Qwen team at Alibaba Cloud and released in September 2024.
Qwen2.5-VL
Qwen2.5-VL is a series of open-weight vision-language models released on 26 January 2025 by the Qwen team at Alibaba (Alibaba Cloud), succeeding the earlier Qwen2-VL family.
Qwen3
Qwen3 is the third-generation family of large language models developed by the Qwen Team at Alibaba Cloud (also known as Tongyi Qianwen lab).
Qwen3 Embedding
Qwen3 Embedding is a family of open text embedding and reranking models released by Alibaba's Qwen team in June 2025.
Qwen3-Coder
Qwen3-Coder is a family of open-weight large language models specialized for software engineering, developed by Alibaba's Qwen team (Tongyi Lab) and released under the Apache 2.0 license.
Qwen3-Coder-Next
Qwen3-Coder-Next is an open-weight code generation model released by Alibaba's Qwen team on February 3, 2026, under the Apache 2.0 license.
Qwen3-Next
Qwen3-Next is an efficiency-focused large language model and model architecture released in September 2025 by the Qwen team at Alibaba Cloud.
Qwen3-Omni
Qwen3-Omni is a natively end-to-end omni-modal foundation model developed by the Qwen team at Alibaba Cloud, capable of understanding text, images, audio, and video and generating both text and natural speech…
Qwen3-VL
Qwen3-VL is a family of open-weight vision-language models built by the Qwen team at Alibaba Cloud, first released in September 2025.
Qwen3.5
Qwen3.5 is a family of open-weight large language models developed by the Qwen team at Alibaba, the successor to the Qwen3 series.
Qwen3.6
Qwen3.6 is a generation of large language models from the Qwen team at Alibaba, released in April 2026 as the successor to Qwen3.5.
Qwen3.8-Flash-Next
Qwen3.8-Flash-Next is an experimental open-weight multimodal large language model released by Alibaba Group's Qwen team on August 26, 2026.
RAGEN-2
RAGEN-2 is a 2026 research paper and public code extension for diagnosing and mitigating reasoning collapse during reinforcement learning of multi-turn large language model agents.
RAPIDS
RAPIDS is an open-source suite of GPU-accelerated software libraries for data science, analytics, and machine learning, developed and maintained by Nvidia.
RISC-V
RISC-V (pronounced "risk-five") is an open standard instruction set architecture (ISA), the contract that defines which instructions a processor executes and which registers software can see.
RWKV-7 (Goose)
RWKV-7, codenamed Goose, is an attention-free, RNN-style large-language-model architecture introduced in March 2025 that runs inference in linear time with constant memory per token while still training in…
Ray (framework)
Ray is an open-source distributed computing framework, developed at the University of California, Berkeley's RISELab and commercialized by Anyscale, that lets developers scale Python and artificial…
Ray Serve
Ray Serve is a scalable, framework-agnostic model serving library built on top of the Ray (framework) distributed computing system.
RecurrentGemma
RecurrentGemma is a family of open-weight language models released by Google DeepMind that is built on the Griffin architecture rather than the standard Transformer.
RedPajama
RedPajama is a family of large-scale, openly licensed datasets for training large language models (LLMs), created by Together AI with academic and open-source partners to reproduce, in fully open form
RefinedWeb
RefinedWeb is a large-scale English pretraining dataset for large language models, built from filtered and deduplicated Common Crawl web data alone and released in June 2023 by the Technology Innovation…
Reka Flash
Reka Flash is a family of multimodal large language models developed by Reka AI, a San Francisco Bay Area research company founded in 2022 by former researchers from Google DeepMind, Meta FAIR, and Google.
Rerun (rerun.io)
Rerun is an open-source multimodal data stack and visualization system built for robotics, computer vision, and other forms of physical AI.