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2,489 articles changed in the last 30 days; 52 are new in the last 7 days. Dates show when an article's text last changed, so link and formatting passes do not move it up the list. Page 45 of 50.

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Sunday, June 21, 2026

Apache License 2.0v5The Apache License, Version 2.0 is a permissive open source software license published by the Apache Software Foundation (ASF) in January 2004 and approved by the ASF board on January 21, 2004.
MMLU-Prov10MMLU-Pro (Massive Multitask Language Understanding Professional) is an artificial intelligence benchmark of 12,032 ten-choice questions across 14 academic domains
COCO datasetv11COCO (Common Objects in Context) is a large-scale dataset for object detection, image segmentation, keypoint detection, and image captioning.
Milvusv9Milvus is an open-source vector database built for billion-scale similarity search, developed by Zilliz and governed under the Linux Foundation AI & Data Foundation.
Fully Sharded Data Parallel (FSDP)v7Fully Sharded Data Parallel (FSDP) is a distributed training technique implemented in PyTorch that shards a model's parameters, gradients, and optimizer states across data-parallel workers, allowing models…
Early Stoppingv9Early stopping is a regularization technique that halts the training of an iterative machine learning model as soon as its performance on a held-out validation set stops improving
Validation Setv9A validation set (also called a development set or dev set) is a subset of labeled data that is held out from the training set and used to evaluate a model's performance during development
The Pile (dataset)v10The Pile is an 825.18 GiB (approximately 886 GB) English text corpus designed for training large language models, assembled from 22 diverse, high-quality subsets spanning academic, professional, internet…
Robot manipulationv8Robot manipulation is the ability of a robotic system to physically interact with objects in its environment through grasping, pushing, pulling, inserting, placing, and other contact-based actions.
Model Parallelismv15Model parallelism is a distributed training and inference technique that splits a single neural network across multiple processing units so that no individual accelerator has to hold the entire model.
MBPPv12MBPP (Mostly Basic Python Problems) is a code generation benchmark of 974 crowd-sourced Python programming tasks designed to be solvable by entry-level programmers, introduced by Jacob Austin, Augustus Odena…
YOLO (object detection)v10YOLO (You Only Look Once) is a family of object detection models that treat detection as a single regression problem, predicting bounding boxes and class probabilities directly from full images in one forward…
Parameterv8In machine learning and statistics, a parameter is an internal variable of a model whose value is learned from data during the training process.
Weightv8In machine learning and neural networks, a weight is a learnable numerical parameter that determines the strength of the connection between two neurons.
Unsupervised learningv8Unsupervised learning is a branch of machine learning in which algorithms identify patterns, structures, and relationships in data without relying on labeled examples or explicit human guidance.
Tokenizationv13Tokenization is the process of breaking text into smaller units called tokens, which serve as the fundamental input to natural language processing (NLP) systems and large language models (LLMs).
Machine learning terms/Google Cloudv6Google Cloud is the public cloud arm of Google and one of the three dominant providers of machine learning infrastructure, alongside Amazon Web Services and Microsoft Azure.
GANv11GAN stands for generative adversarial network, a class of deep learning generative models in which two neural networks are trained against each other: a generator that fabricates synthetic data and a…
Few-Shot Learningv11Few-shot learning is a branch of machine learning in which a model learns to recognize new classes or perform new tasks from only a very small number of labeled examples, typically one to five per class.
Class-Imbalanced Datasetv8A class-imbalanced dataset is a dataset in which the distribution of examples across the target classes is significantly unequal, so that one class (the majority class) contains far more samples than one or…
Bayesian Optimizationv11Bayesian optimization is a sequential, model-based strategy for finding the global optimum of expensive black-box functions in as few evaluations as possible.
AI Safety Institutesv8AI Safety Institutes are government-established organizations that test, evaluate, and research the safety and security risks of advanced artificial intelligence systems
Synthetic datav14Synthetic data is data that is artificially generated by algorithms, simulations, or generative models rather than collected from real-world events, used as a substitute for or supplement to real data when…
Reward hackingv8Reward hacking (also called specification gaming) is a failure mode in artificial intelligence in which a system maximizes its given objective or reward signal through unintended shortcuts, exploits, or…
Red teaming (artificial intelligence)v7Red teaming in artificial intelligence is the systematic, adversarial testing of an AI system to find vulnerabilities, biases, harmful outputs, and other failure modes before deployment or as part of ongoing…
QLoRAv9QLoRA (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…
Naive Bayesv10Naive Bayes is a family of probabilistic classification algorithms that apply Bayes' theorem under a strong ("naive") assumption that every feature is conditionally independent of every other feature given the…
MT-Benchv11MT-Bench (Multi-Turn Benchmark) is a benchmark of 80 hand-written, two-turn questions that evaluates large language models (LLMs) on multi-turn conversation and instruction following by using a strong model…
Human-Robot Interactionv8Human-Robot Interaction (HRI) is the interdisciplinary field that studies how humans and robots perceive, communicate with, and physically share space and tasks with one another, and how to design robots that…
Generalizationv11Generalization in machine learning is the ability of a trained model to perform accurately on new, unseen data drawn from the same distribution as its training set
Byte-Pair Encodingv14Byte-pair encoding (BPE) is a subword tokenization algorithm that splits text into tokens by starting from individual characters or bytes and iteratively merging the most frequent adjacent pair into a new token
Azure OpenAI Servicev11Azure OpenAI Service is Microsoft's enterprise cloud offering that delivers OpenAI's frontier large language models and generative artificial intelligence through the Microsoft Azure platform, pairing models…
Anomaly Detectionv9In machine learning, anomaly detection is the process of identifying data points, events, or observations that deviate significantly from normal patterns in a dataset.
AI Video Generationv8AI video generation is the use of artificial intelligence systems, predominantly diffusion transformers, to create video clips from text descriptions, still images, or other video, producing sequences of…
Proximal Policy Optimization (PPO)v6Proximal Policy Optimization (PPO) is an on-policy policy gradient reinforcement learning algorithm that stabilizes training by clipping the policy update so the new policy stays close ("proximal") to the old…
Optimizerv10An optimizer in machine learning is an algorithm that iteratively adjusts a model's learnable parameters to minimize (or maximize) an objective function, commonly called a loss function
Layer normalizationv11Layer normalization is a technique for normalizing the activations of a neural network across the feature dimension of each individual sample, rather than across a batch of samples.
EfficientNetv10EfficientNet is a family of convolutional neural network architectures and a model-scaling method that uniformly scales network depth, width, and input resolution with a single compound coefficient, developed…
Edge AIv8Edge AI is the practice of running artificial intelligence models directly on the device that generates the data, such as a smartphone, laptop, camera, vehicle, or IoT sensor
Batch Sizev14In machine learning, batch size is the hyperparameter that sets how many training examples a model processes together before it updates its parameters with one step of gradient descent.
AI ethicsv11AI ethics is the field that studies the moral principles, values, and frameworks governing how artificial intelligence systems are designed, built, deployed, and used, and the obligations that developers and…
AdamWv6AdamW is a variant of the Adam optimizer that decouples weight decay from the gradient-based update rule, applying the decay directly to the weights instead of folding it into the loss as an L2 penalty.
NVLinkv8NVLink is NVIDIA's proprietary high-bandwidth, low-latency, cache-coherent point-to-point interconnect for directly connecting GPUs to other GPUs and, in some configurations, to host CPUs.
LiveCodeBenchv9LiveCodeBench is a holistic and contamination-free benchmark for evaluating large language models on code, first released in March 2024 by researchers at UC Berkeley, MIT, and Cornell led by Naman Jain.
Latent diffusion modelv10A latent diffusion model (LDM) is a type of diffusion model that runs the denoising diffusion process in a compressed latent space learned by a pretrained autoencoder, rather than directly in pixel space…
Industrial robotv10An industrial robot is an automatically controlled, reprogrammable, multipurpose manipulator programmable in three or more axes, which can be either fixed in place or mobile for use in industrial automation…
Image Recognitionv13Image recognition is the field of artificial intelligence and computer vision that enables machines to identify, classify, and interpret the objects, patterns, and features contained in a digital image or…
EleutherAIv12EleutherAI is a non-profit artificial intelligence research institute that builds and openly releases large language models, datasets, and evaluation tools, and studies their interpretability and alignment.
DPOv12DPO (Direct Preference Optimization) is an alignment technique for large language models that directly optimizes a language model policy from human preference data, without training a separate reward model or…
Diffusion Transformer (DiT)v9A Diffusion Transformer (DiT) is a transformer-based neural network backbone for diffusion models that replaces the U-Net with a Vision Transformer operating on patches of an image latent.
BLEU (Bilingual Evaluation Understudy)v11BLEU (Bilingual Evaluation Understudy) is an automatic evaluation metric that scores the quality of machine translation output by measuring how many word sequences (n-grams) it shares with one or more human…
Collaborative robotv9A collaborative robot (commonly called a cobot) is a robot designed to physically interact with humans in a shared workspace without safety fencing.
In-Context Learningv14In-context learning (ICL) is the ability of a large language model to learn a new task at inference time by conditioning on a prompt that contains a few input-output examples (demonstrations)
Falcon (language model)v11Falcon is a family of open-source large language models built by the Technology Innovation Institute (TII)
ICMLv6ICML, the International Conference on Machine Learning, is one of the three top-tier academic conferences in machine learning, alongside NeurIPS and ICLR, and is organized annually by the International Machine…
Promptv12A prompt is the input given to a generative AI model, particularly a large language model (LLM), that elicits a desired response.
Instruction Tuningv12Instruction tuning is the post-pretraining training stage in which a large language model (LLM) is fine-tuned on a curated collection of (instruction
AI governancev10AI governance is the collection of frameworks, norms, standards, policies, and institutional arrangements that guide the development, deployment, and use of artificial intelligence systems so that they are…
Windsurf (software)v12Windsurf is an AI-powered code editor developed by the company formerly known as Codeium (originally Exafunction).
TensorRTv10TensorRT is NVIDIA's software development kit (SDK) for high-performance deep learning inference on NVIDIA GPUs.
Simultaneous Localization and Mapping (SLAM)v9Simultaneous Localization and Mapping (SLAM) is the computational problem of building a map of an unknown environment while at the same time estimating the position of a sensor, vehicle, or agent moving…
MATHv8MATH is a benchmark of 12,500 competition mathematics problems used to evaluate the mathematical problem-solving ability of machine learning systems, particularly large language models.
Direct Preference Optimization (DPO)v11Direct Preference Optimization (DPO) is a method for aligning large language models with human preferences that replaces the multi-stage reinforcement learning from human feedback (RLHF) pipeline with a single…
word2vecv14word2vec is a family of shallow neural network models, published by Tomas Mikolov and colleagues at Google in 2013
Text-to-Image Modelsv11Text-to-image models are generative artificial intelligence systems that synthesize a new image from a natural-language description, called a prompt.
Prompt injectionv10Prompt 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).
Natural Language Understandingv11Natural language understanding (NLU) is the branch of artificial intelligence and computational linguistics that enables machines to read human language and extract its meaning, intent, and structure.
Featurev10In machine learning and statistics, a feature is an individual measurable property or characteristic of a phenomenon being observed, used as an input variable from which a model learns patterns and makes…
Hugging Face Transformersv10Hugging Face Transformers is an open-source Python library that provides general-purpose architectures, a unified API, and pretrained weights for state-of-the-art machine learning models across text, vision…
SWE-bench Verifiedv8SWE-bench Verified is a 500-problem, human-validated subset of the SWE-bench software engineering benchmark, released on August 13
RoBERTav11RoBERTa (Robustly Optimized BERT Pretraining Approach) is an open-source natural language processing model released in July 2019 by researchers at Facebook AI (now Meta AI) and the University of Washington…
ChatGPT Plugin Categoriesv9ChatGPT Plugin Categories is an index of the topical groupings this wiki uses to organize the third-party plugins that extended ChatGPT during the 2023 to 2024 plugin era operated by OpenAI.
Trainingv9Training in machine learning is the process of fitting a model's parameters to data so that the model can make accurate predictions or generate useful outputs.
Tokenv10A token is the basic unit of text that a language model reads and writes: a word, a subword fragment, a single character, or a byte, produced by splitting text during a step called tokenization.

Saturday, June 20, 2026

Vector databasev14A vector database is a database that stores data as high-dimensional vectors (numerical embeddings produced by a machine learning model) and retrieves records by similarity rather than exact match
Google Vertex AIv7Google Vertex AI is the unified machine learning and generative artificial intelligence platform offered by Google Cloud, announced at Google I/O on May 18
GPU computingv12GPU computing is the use of a graphics processing unit (GPU) to perform general-purpose computation that was traditionally handled by the central processing unit (CPU).
Sentiment Analysisv13Sentiment analysis, also called opinion mining or emotion AI, is the use of natural language processing to automatically determine the sentiment, emotion, or opinion expressed in a piece of text, typically…
Amazon Bedrockv10

Thursday, June 11, 2026

ZebraLogicv8ZebraLogic is a benchmark for evaluating the logical reasoning capabilities of large language models (LLMs).

Wednesday, June 10, 2026

Zhu Junv4Zhu Jun (Chinese: 朱军; born 1983), published in English as Jun Zhu, is a Chinese computer scientist and machine learning researcher.
Wang Xiaochuanv4Wang Xiaochuan (born October 3, 1978) is a Chinese computer scientist and entrepreneur, the founder and chief executive of Baichuan (Baichuan Intelligence)

Tuesday, June 9, 2026

Differential Transformerv7The Differential Transformer (often shortened to Diff Transformer or DIFF Transformer) is a decoder-only neural sequence architecture introduced by researchers at Microsoft Research and Tsinghua University in…
NVIDIA Rubin CPXv4NVIDIA Rubin CPX is a class of GPU announced by NVIDIA on September 9, 2025, purpose-built to accelerate the compute-heavy "context" phase of large-model inference.
CodeGeeXv5CodeGeeX is an open series of multilingual code generation models developed by the Knowledge Engineering Group (KEG) and Data Mining lab at Tsinghua University together with Zhipu AI.
AgentHarmv5AgentHarm is a benchmark for measuring the harmfulness of LLM agents: systems that wrap a large language model in a loop that lets it call external tools and carry out multi-step tasks.
AgentDojov4

NewerPage 45 of 50Older

Amazon Bedrock is a fully managed service from Amazon Web Services (AWS) that offers a choice of high-performing foundation models from leading AI companies, accessible through a single unified API, so…

Cross-Validationv8Cross-validation is a statistical resampling technique used in machine learning to estimate how accurately a predictive model will generalize to data it was not trained on.

Adam optimizerv10The Adam optimizer (short for Adaptive Moment Estimation) is an algorithm for first-order gradient descent-based optimization of stochastic objective functions

Constitutional AIv13Constitutional AI (CAI) is an artificial intelligence alignment technique developed by Anthropic in which a large language model is trained to be helpful and harmless using a set of explicitly stated…

Reasoning (artificial intelligence)v9Reasoning in artificial intelligence is the ability of an AI system to draw inferences, solve problems, and make decisions through structured, multi-step thought rather than a single immediate response.

Whisperv15Whisper is an open-source family of automatic speech recognition (ASR) models developed by OpenAI and first released on September 21, 2022.

Feature Engineeringv11Feature engineering is the process of using domain knowledge to create, transform, and select features from raw data so that machine learning models can learn more effectively.

AgentDojo is a dynamic evaluation environment for measuring prompt injection attacks and defenses against tool-using large language model agents.

Self-Improvement ChatGPT Pluginsv5Self-Improvement ChatGPT Plugins were third party tools available inside the ChatGPT plugins marketplace that focused on personal growth, habit formation, journaling, decision making, mindfulness, and…

AI gold medals at the 2025 IMOv5In July 2025, two leading artificial intelligence laboratories, OpenAI and Google DeepMind

Pass@kv4Pass@k is the standard metric for evaluating code generation models: it measures the probability that at least one of k generated candidate solutions passes all of a problem's unit tests.

XTTS (Coqui XTTS)v6XTTS (sometimes stylized ⓍTTS, short for "cross-lingual text-to-speech") is an open-weights multilingual text-to-speech model developed by Coqui AI that performs zero-shot voice cloning from short reference…

Coconut (Chain of Continuous Thought)v4Coconut (Chain of Continuous Thought) is a reasoning paradigm for large language models introduced by researchers at FAIR at Meta, Meta's Fundamental AI Research lab, and the University of California

Semantic chunkingv5Semantic chunking is a family of document-segmentation strategies for retrieval augmented generation pipelines that places chunk boundaries based on similarity between sentence embeddings rather than fixed…

South Korea AI Basic Actv6The South Korea AI Basic Act, officially the Framework Act on the Development of Artificial Intelligence and Establishment of a Foundation for Trust (Korean: 인공지능 발전과 신뢰 기반 조성 등에 관한 기본법)