Nemotron-Labs-TwoTower
Nemotron-Labs-TwoTower is an open-weight diffusion language model released by NVIDIA in mid-2026.
Large Language Models
Explore language models, how they work, and the techniques used to build applications with them.
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Showing 421-480 of 608 articles
Nemotron-Personas
Nemotron-Personas is a collection of open synthetic persona datasets published by NVIDIA on Hugging Face.
Neuralese
Neuralese is an informal term for information that neural networks pass to one another, or that a single model carries from one step of its computation to the next
Next-token prediction
Next-token prediction is the training objective used by most modern language models: the model reads a prefix of tokenized text, outputs a probability distribution over which token comes next, and training…
NoLiMa
NoLiMa, short for "No Literal Matching," is a long-context benchmark for large language models that measures how well a model can find and use a single relevant fact buried in a long document when that fact…
North Mini Code
North Mini Code is an open-weight large language model developed by Cohere for agentic software development and AI code generation.
Nous Research
Nous Research is a New York City-based applied AI research organization and company that builds widely used open-weight language models and decentralized training infrastructure.
OLMo
OLMo (Open Language Model) is a family of fully open large language models built by the Allen Institute for AI (Ai2) and first released on February 1, 2024.
OLMo 2
OLMo 2 is the second generation of fully open large language models released by the Allen Institute for AI (Ai2), spanning 1B, 7B, 13B, and 32B parameter sizes.
OLMo 3
OLMo 3 is the third generation of fully open language models released by the Allen Institute for AI (Ai2).
OLMoE
OLMoE (Open Mixture-of-Experts) is a fully open sparse mixture of experts large language model released by the Allen Institute for AI (Ai2) on September 3, 2024.
OPT (Open Pre-trained Transformer)
OPT (Open Pre-trained Transformer) is a suite of decoder-only large language models released by Meta AI in May 2022, ranging from 125 million to 175 billion parameters and built to reproduce the scale and…
OPUS-MT
OPUS-MT is a large collection of open, freely licensed neural machine translation models and tools produced by the Language Technology Research Group at the University of Helsinki.
ORPO
ORPO (Odds Ratio Preference Optimization) is a preference alignment algorithm for large language models that merges supervised fine-tuning and preference alignment into a single training stage, eliminating the…
Ollama
Ollama is a free, open-source runtime for downloading, running, and managing open-weight large language models (LLMs) locally on personal computers and servers.
Open WebUI
Open WebUI is a self-hosted, extensible web interface for interacting with large language models (LLMs) both locally and through cloud APIs.
Open-Weight LLM License Comparison
As of July 2026, the open-weight LLMs that are genuinely free for commercial use with no strings attached are the ones released under standard, OSI-approved licenses: Apache-2.0 (Alibaba's Qwen3, most of…
OpenAI
OpenAI is an American artificial intelligence research and deployment organization.
OpenAI API
The OpenAI API is a REST-based application programming interface that gives developers programmatic access to OpenAI's family of artificial intelligence models, including the GPT series of large language…
OpenAI o-series
The OpenAI o-series is a family of large language models developed by OpenAI that are trained with reinforcement learning to reason through an internal chain-of-thought before answering, making them OpenAI's…
OpenAI o1
OpenAI o1 is a family of proprietary large language models developed by OpenAI and trained to use additional computation before returning an answer.
OpenAI o1-mini
OpenAI o1-mini is a smaller, faster, and cheaper reasoning model released by OpenAI on September 12, 2024, alongside o1-preview, and optimized for science, technology, engineering, and mathematics (STEM) tasks…
OpenAI o1-pro
OpenAI o1-pro is the highest-compute variant of OpenAI's o1 reasoning model, designed to spend more inference-time compute so it "thinks harder" and returns the most reliable answers on the hardest…
OpenAI o3
OpenAI o3 is a family of reasoning-focused large language models developed by OpenAI and the second generation of the company's o-series reasoning models, best known for scoring 87.5% on the ARC-AGI…
OpenAI o3-mini
OpenAI o3-mini is a reasoning-focused large language model released by OpenAI on January 31, 2025, the second commercial member of the o-series after OpenAI o1 and a smaller, cheaper
OpenAI o3-pro
OpenAI o3-pro is a high-compute reasoning large language model released by OpenAI on June 10, 2025, designed as the professional, higher-reliability variant of the company's o3 reasoning model.
OpenOrca
OpenOrca is a large open-source instruction-tuning dataset that augments the FLAN Collection with chain-of-thought responses generated by OpenAI's GPT-3.5 and GPT-4 APIs.
OpenRouter
OpenRouter is a unified API gateway and marketplace that routes a single, OpenAI-compatible request across more than 600 large language models (LLMs) and other AI models from more than 80 providers…
Ornith-1.5-122B
Ornith-1.5-122B is an open-weight reasoning model in the Ornith family, announced on October 20, 2026. It targets coding and tool-using tasks and uses a mixture-of-experts architecture.
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…
Ox Alpha
Ox Alpha was the anonymous preview alias for GLM-5.3-Flash, a natively multimodal large language model developed by Z.ai.
PaLM
PaLM (Pathways Language Model) is a family of dense, decoder-only large language models developed by Google Research. Google announced the original family on April 4, 2022.
PaLM 2
PaLM 2 is the large language model Google announced on May 10, 2023, at its I/O developer conference as the successor to the original PaLM (Pathways Language Model).
Patchscopes
Patchscopes is an interpretability framework for inspecting hidden representations of large language models by patching an internal activation from a source computation into a separate target inference whose…
Persona vectors
Persona vectors are single linear directions in the activation space of a large language model that correspond to high level character traits such as evil, sycophancy, or a propensity to hallucinate.
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.
PiSSA
PiSSA (Principal Singular values and Singular vectors Adaptation) is a parameter-efficient fine-tuning method for large language models that initializes LoRA-style low-rank adapter matrices from the dominant…
Pipeline Parallelism
Pipeline parallelism (often abbreviated PP) is a distributed training strategy that splits the layers of a deep neural network across multiple accelerator devices so that each device holds one contiguous block…
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.
Poetiq
Poetiq is an American artificial intelligence startup, based in Mountain View, California, that builds software on top of existing large language models instead of training its own.
Post-training
Post-training is the stage of large language model (LLM) development that comes after pre-training and turns a raw, general-purpose base model into an aligned, instruction-following AI assistant.
Prompt
A prompt is the input given to a generative AI model, particularly a large language model (LLM), that elicits a desired response.
Prompt Caching
Prompt caching is a large language model (LLM) inference optimization that stores the computed key-value (KV) state of a repeated prompt prefix so it can be reused across API calls, cutting both cost and…
Prompt Engineering
Prompt engineering is the systematic design and testing of the inputs supplied to a generative model so that the model is more likely to produce a useful result.
Prompt injection
Prompt injection is a class of security vulnerabilities in which an attacker crafts malicious input designed to override, subvert, or manipulate the instructions governing a large language model (LLM).
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.
Protein language model
A protein language model (pLM) is a neural network trained on raw amino acid sequences using the same self-supervised objectives that power text models, with individual amino acids serving as tokens instead of…
QLoRA
QLoRA (Quantized Low-Rank Adaptation) is a parameter-efficient fine-tuning method that finetunes a 65-billion-parameter large language model on a single 48 GB GPU while matching the quality of full 16-bit…
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.
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-Math
Qwen2-Math is a series of mathematics-specialized large language models released by the Qwen team at Alibaba on 8 August 2024.
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-Coder
Qwen2.5-Coder is the code-specialized series within the Qwen2.5 generation of large language models developed by the Qwen team at Alibaba.