Thursday, July 23, 2026
- Information Retrievalv8Information retrieval (IR) is the science and practice of finding relevant documents, passages, or data from large unstructured collections in response to a...
- Curriculum learningv6Curriculum learning is a training strategy for machine learning models in which training examples are presented in a meaningful, easy-to-hard order rather than...
- Common Crawlv9Common Crawl is a nonprofit 501(c)(3) organization that maintains a free, open repository of web crawl data, and it is the single largest publicly available...
- WinoGrandev6WinoGrande is a large-scale benchmark for commonsense reasoning consisting of 44,000 binary fill-in-the-blank pronoun resolution problems, built to test...
- COCO datasetv9COCO (Common Objects in Context) is a large-scale dataset for object detection, image segmentation, keypoint detection, and image captioning. Created by a team...
- DenseNetv5DenseNet (Densely Connected Convolutional Networks) is a convolutional neural network architecture that connects every layer to every other layer in a...
- BIG-Benchv7BIG-Bench (Beyond the Imitation Game Benchmark) is a large-scale, collaborative benchmark of 204 tasks, contributed by 450 authors across 132 institutions,...
- DeiTv6DeiT (Data-efficient Image Transformers) is a family of vision transformer models that proved Vision Transformers can be trained to state-of-the-art image...
- ConvNeXtv9ConvNeXt is a family of pure convolutional neural network (CNN) models that match or beat Vision Transformers on standard vision benchmarks, reaching 87.8%...
- Text summarizationv8Text summarization is the natural language processing (NLP) task of automatically producing a shorter version of one or more documents that preserves the most...
- Mambav12See also: transformer, attention mechanism, recurrent neural network, large language model, Mamba-2, state space model Mamba is a neural network architecture...
- AI Safety Institutesv6AI Safety Institutes are government-established organizations that test, evaluate, and research the safety and security risks of advanced artificial...
- Continual learningv6See also: Transfer learning, Meta-learning, Deep learning, Neural network Continual learning, also called lifelong learning or incremental learning, is a...
- Mixture of Agentsv5Mixture of Agents (MoA) is a multi-model collaboration framework that combines multiple large language models (LLMs) in a layered architecture, where models in...
- Amazon Qv6Amazon Q is a family of generative AI-powered assistants from Amazon Web Services (AWS), announced on November 28, 2023, at the AWS re:Invent conference and...
- Wav2Vecv7Wav2Vec is a family of self-supervised learning models from Meta AI (formerly Facebook AI Research) that learn speech representations directly from raw audio...
- GPU computingv8GPU computing is the use of a graphics processing unit (GPU) to perform general-purpose computation that was traditionally handled by the central processing...
- Pika (video generation)v7Pika is an artificial intelligence video generation platform developed by Pika Labs, Inc. that lets users create and edit short videos from text prompts,...
- AI governancev7AI governance is the collection of frameworks, norms, standards, policies, and institutional arrangements that guide the development, deployment, and use of...
- XLNetv7XLNet is a generalized autoregressive pretraining method for natural language processing that combines the strengths of autoregressive and autoencoding...
- Cross-attentionv10Cross-attention is a variant of the attention mechanism in which the queries are derived from one sequence or representation while the keys and values are...
- Inception (deep learning)v7Inception is a family of convolutional neural network (CNN) architectures developed by researchers at Google, first introduced in 2014. The original...
- AI artv8AI art is artwork created with the assistance of artificial intelligence systems, spanning visual images, music, video, and other creative outputs generated or...
- Machine translationv6Machine translation (MT) is the use of software to automatically translate text or speech from one natural language to another without human intervention. As...
- T5 (language model)v11T5 (Text-to-Text Transfer Transformer) is a family of transformer-based language models released by Google in 2019-2020 that reframes every natural language...
- Named entity recognitionv6Named entity recognition (NER) is the natural language processing task of locating spans of text that name real-world things, such as people, organizations,...
- Autonomous drivingv8Autonomous driving is the capability of a vehicle to perceive its environment, make decisions, and control its own motion without human input, using a...
- GLUE benchmarkv6The General Language Understanding Evaluation (GLUE) benchmark is a collection of nine natural language understanding (NLU) tasks designed to evaluate and...
- Object detectionv8Object detection is a computer vision task that locates and classifies every object instance in an image or video frame, returning for each one a bounding box,...
- Image segmentationv8Image segmentation is the computer vision task of partitioning a digital image into multiple regions by assigning every pixel a label, producing a pixel-level...
- Kling (video generation)v9Kling is an AI video generation model developed by Kuaishou Technology, a Chinese short-video platform company publicly traded on the Hong Kong Stock Exchange....
- Gradiov5Gradio is an open-source Python library that lets developers build interactive web interfaces for machine learning models, APIs, and arbitrary Python functions...
- Model mergingv5Model merging combines the parameters of multiple trained neural networks into a single unified model without any additional training. Rather than running...
- Existential risk from AIv8Existential risk from artificial intelligence (also called AI x-risk) is the hypothesis that the development of sufficiently advanced artificial intelligence...
- SQuADv8SQuAD (the Stanford Question Answering Dataset) is a large-scale reading comprehension benchmark from Stanford University in which a model must answer a...
- Chinchilla scaling lawsv6The Chinchilla scaling laws are a set of empirical findings published by DeepMind researchers in 2022 showing that, for a fixed compute budget, a large...
- llama.cppv9llama.cpp is an open-source large language model inference engine written in C and C++ by Bulgarian software engineer Georgi Gerganov that runs large language...
- EfficientNetv8EfficientNet is a family of convolutional neural network architectures and a model-scaling method that uniformly scales network depth, width, and input...
- AI agentsv17This article covers contemporary LLM-based AI agents in practice: their architectures, frameworks, protocols, products, benchmarks, enterprise adoption, and...
- Black Forest Labsv8Black Forest Labs (BFL) is a German-American artificial intelligence company founded in 2024 by Robin Rombach, Andreas Blattmann, Patrick Esser, and Dominik...
- Sovereign AIv5Sovereign AI is a nation's capability to develop, operate, and control artificial intelligence using its own computing infrastructure, data, workforce, and...
- Hyperparameter Tuningv6Hyperparameter tuning (also called hyperparameter optimization or hyperparameter search) is the process of finding the configuration parameters that make a...
- Inflection AIv9Inflection AI is an American artificial intelligence company founded in March 2022 by Mustafa Suleyman (co-founder of Google DeepMind), Karén Simonyan, and...
- VGGv6VGG (also called VGGNet) is a deep convolutional neural network architecture, introduced in 2014 by Karen Simonyan and Andrew Zisserman of the Visual Geometry...
- Test-time computev9Test-time compute (also called inference-time compute scaling or test-time scaling) is the practice of allocating additional computation while a large language...
- Generative adversarial networkv7A generative adversarial network (GAN) is a class of machine learning model in which two neural networks, a generator and a discriminator, are trained...
- PaLMv9PaLM (Pathways Language Model) is a family of large language models developed by Google Research. The original PaLM, announced on April 4, 2022, was a...
- Embeddingsv8Embeddings are dense vector representations of data in a continuous vector space, where semantically similar items are mapped to nearby points. An embedding...
- YOLO (object detection)v7YOLO (You Only Look Once) is a family of object detection models that treat detection as a single regression problem, predicting bounding boxes and class...
- OpenAI o-seriesv9The OpenAI o-series is a family of large language models developed by OpenAI that are trained with reinforcement learning to reason through an internal...
- Model Compressionv5Model compression is a family of techniques that reduce the size, memory footprint, and computational cost of machine learning models while preserving as much...
- Compound AI Systemv5A compound AI system is an AI system that achieves its objectives by combining multiple interacting components, such as large language models, retrieval...
- AI for Sciencev8AI for science is the use of artificial intelligence, particularly deep learning and large language models, to accelerate scientific discovery across biology,...
- Byte-Pair Encodingv11Byte-pair encoding (BPE) is a subword tokenization algorithm that splits text into tokens by starting from individual characters or bytes and iteratively...
- Gradient Accumulationv8Gradient accumulation is a deep learning training technique that simulates a large batch size on limited GPU memory by summing the gradients from several small...
- NeurIPSv5NeurIPS (the Conference on Neural Information Processing Systems) is the largest and one of the most prestigious academic conferences in artificial...
- AI Datacenterv6An AI datacenter (also written as AI data center) is a facility purpose-built for artificial intelligence workloads: it is filled with dense clusters of GPUs...
- Layer normalizationv8Layer normalization is a technique for normalizing the activations of a neural network across the feature dimension of each individual sample, rather than...
- Qdrantv9Qdrant (pronounced "quadrant") is an open-source vector database and similarity search engine written in Rust and designed for high-performance retrieval over...
- Bolt.newv11Bolt.new is an AI-powered full-stack web development platform built by StackBlitz that turns a natural language prompt into a complete, running web application...
- TensorRTv7TensorRT is NVIDIA's software development kit (SDK) for high-performance deep learning inference on NVIDIA GPUs. It takes trained neural networks and optimizes...
- Anthropic APIv6The Anthropic API is the developer interface for Anthropic's Claude family of large language models, a Messages-based HTTP service hosted at...
- OpenAI APIv9The OpenAI API is a REST-based application programming interface that gives developers programmatic access to OpenAI's family of artificial intelligence...
- AI Pricingv4AI pricing refers to the cost structures and economic models used by providers of artificial intelligence services, particularly large language model (LLM)...
- v0 (Vercel)v7v0 is an AI application builder from Vercel that turns natural-language prompts and images into working React code, generating user interfaces styled with...
- Self-attentionv9Self-attention is a mechanism that lets a neural network weigh how much every element of a single input sequence should influence every other element,...
- AI in climatev5AI in climate refers to the application of artificial intelligence techniques to address climate change, both in mitigation (reducing greenhouse gas emissions)...
- Lovable (AI app builder)v9Lovable is an AI-powered application builder that generates full-stack web applications from natural language descriptions. Founded in 2023 by Anton Osika and...
- pgvectorv8pgvector is an open-source PostgreSQL extension that adds vector similarity search to a standard PostgreSQL database, letting developers store, index, and...
- AI in gamingv6AI in gaming refers to the use of artificial intelligence techniques to create intelligent behaviors, generate content, and enhance player experiences in video...
- Falcon (language model)v8Falcon is a family of open-source large language models built by the Technology Innovation Institute (TII), the applied-research pillar of the Abu Dhabi...
- Milvusv7Milvus is an open-source vector database built for billion-scale similarity search, developed by Zilliz and governed under the Linux Foundation AI & Data...
- AI in artv5AI in art refers to the use of artificial intelligence systems to create, assist in creating, or influence visual art. The field has a longer history than many...
- AI in lawv4AI in law refers to the application of artificial intelligence technologies to legal research, document analysis, contract management, litigation support, and...
- Cosine similarityv6Cosine similarity is a measure of similarity between two non-zero vectors that calculates the cosine of the angle between them, defined as the dot product of...
- BLOOM (language model)v8BLOOM (BigScience Large Open-science Open-access Multilingual Language Model) is a 176-billion-parameter open-access large language model released on July 12,...
- Residual connectionv6A residual connection (also called a skip connection or shortcut connection) is a structural element in neural networks that adds the input of a layer or block...
- NVIDIA Digitsv6NVIDIA Digits (originally announced as Project DIGITS, later renamed DGX Spark) is a personal AI supercomputer developed by NVIDIA and co-designed with...
- Rabbit R1v6The Rabbit R1 is a $199 standalone artificial intelligence hardware device that was unveiled by Rabbit Inc. founder Jesse Lyu at CES on January 9, 2024, and...
- Ensemble learningv5Ensemble learning is a machine learning paradigm that combines multiple models to produce predictions that are better than any individual model could achieve...
- AutoGenv12AutoGen is an open-source programming framework developed by Microsoft Research for building AI agents and enabling cooperation among multiple agents to solve...
- OpenAI o3v11OpenAI Announced January 31, 2025 (o3-mini); April 16, 2025 (o3, o4-mini); June 10, 2025 (o3-pro); June 26, 2025 (o3-deep-research, o4-mini-deep-research) ...
- CrewAIv6CrewAI is an open-source multi-agent orchestration framework that enables developers to build teams of AI agents that collaborate to accomplish complex tasks....
- Humane AI Pinv6The Humane AI Pin was a screenless, wearable AI device developed by Humane Inc., a San Francisco startup founded by former Apple designers Imran Chaudhri and...
- ONNXv6ONNX (Open Neural Network Exchange) is an open standard file format for representing machine learning models so they can be moved between different frameworks,...
- OpenAI o1v11OpenAI Codename September 12, 2024 (o1-preview, o1-mini) Release date Large language model (reasoning model) Architecture o1-preview, o1-mini, o1,...
- Llama 4v12Llama 4 (Large Language Model Meta AI 4) is a family of natively multimodal large language models developed by Meta and released on April 5, 2025, the first...
- SGLangv9SGLang (short for Structured Generation Language) is a high-performance, open-source serving framework for large language models and multimodal models,...
- Executive Order on AIv6The Executive Order on AI most commonly refers to Executive Order 14110, titled "Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence,"...
- Tesla Optimusv9Tesla Optimus (originally announced as the Tesla Bot) is a general-purpose humanoid robot being developed by Tesla, first revealed at Tesla AI Day in August...
- Principal Component Analysis (PCA)v7Principal component analysis (PCA) is an unsupervised learning technique for dimensionality reduction that identifies the orthogonal directions of maximum...
- DeepSeek-R1v13DeepSeek Release date Large language model (reasoning model) Architecture DeepSeek-V3-Base (671B / 37B MoE) Parameters 128,000 tokens Training...
- AI Safety Summitv6The AI Safety Summit is a recurring series of intergovernmental summits on the risks and governance of advanced artificial intelligence, launched by the United...
- Llama 2v8Llama 2 (Large Language Model Meta AI 2; sometimes stylized LLaMA 2 after the original paper's backronym) is a family of large language models developed and...
- Claude Artifactsv5Claude Artifacts is an interactive content creation feature in Claude, the AI assistant developed by Anthropic, that opens a dedicated workspace window beside...
- Meta Ray-Ban AI Glassesv4Meta Ray-Ban AI Glasses (marketed as Ray-Ban Meta) are a line of smart glasses developed through a long-running partnership between Meta Platforms and...
- NotebookLMv5NotebookLM is an AI-powered research and note-taking tool developed by Google that grounds its answers in documents the user uploads rather than the open...
- Weaviatev8Weaviate is an open-source vector database that stores both data objects and their vector embeddings, enabling a combination of vector similarity search with...
- DDPMv10Denoising Diffusion Probabilistic Models (DDPM) are a class of generative model introduced by Jonathan Ho, Ajay Jain, and Pieter Abbeel of UC Berkeley in their...
- Adam optimizerv7The Adam optimizer (short for Adaptive Moment Estimation) is an algorithm for first-order gradient descent-based optimization of stochastic objective...
