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Updates

470 articles changed in the last 30 days; 31 are new in the last 7 days. Newest articles first, by the date they were published. Page 19 of 47.

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Monday, May 25, 2026

  • SK Hynixv6SK Hynix Inc. (KRX:000660) is a South Korean memory semiconductor manufacturer headquartered in Icheon, Gyeonggi-do, and the world's largest producer of high bandwidth memory (HBM) used in AI accelerators.
  • ASMLv4ASML Holding N.V. is a Dutch semiconductor equipment company headquartered in Veldhoven, North Brabant, that is the sole global supplier of extreme ultraviolet (EUV) lithography systems, the machines required…
  • LLM.int8()v3LLM.int8() is an 8-bit matrix multiplication scheme for large language model inference that preserves accuracy across models up to 175 billion parameters by combining vector-wise quantization with a…
  • HBM4v7HBM4 (High Bandwidth Memory generation 4) is the fourth principal generation of high bandwidth memory (HBM)
  • HBM3ev5HBM3e (also written HBM3E and HBM3 Extended) is the extended-bandwidth variant of HBM3 high bandwidth memory, a stacked DRAM technology used as on-package memory for AI accelerators and high-performance…
  • Discrete diffusion language modelv5A discrete diffusion language model is a class of generative model for text that produces tokens by iteratively denoising a corrupted sequence, rather than by predicting one token at a time from left to right.
  • llms.txtv3llms.txt is a proposed web standard that defines a small markdown file served at the root path /llms.txt of a website, containing a curated, LLM-friendly summary and a list of links to authoritative content…
  • Lightning AIv5Lightning AI is a New York based artificial intelligence platform company founded by William Falcon, the creator of the pytorch lightning deep learning framework.
  • Pydantic AIv4Pydantic 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.
  • Turbopufferv3Turbopuffer is a serverless vector and full-text search database built from first principles on object storage such as Amazon S3 and Google Cloud Storage.
  • Vespa (search engine)v4Vespa is an open-source big-data serving engine that combines vector search, lexical search, and structured search inside a single query, with real-time indexing and machine-learned ranking executed on the…
  • Cosine learning rate schedulev4The cosine learning rate schedule, also called cosine annealing, is a learning rate decay strategy that lowers the optimizer step size from a peak value to a small minimum following a half period of a cosine…
  • Chain of Verification (CoVe)v3Chain of Verification (CoVe) is a prompting technique that reduces factual hallucinations in large language models by having the model fact-check its own draft response through a structured four-step…
  • RLOO (REINFORCE Leave-One-Out)v4RLOO (REINFORCE Leave-One-Out) is an online reinforcement learning algorithm for aligning large language models with reward signals such as those derived from human preferences.
  • Circuit discoveryv4Circuit discovery is a research program in mechanistic interpretability that aims to identify sparse computational subgraphs inside trained neural networks, called circuits, that implement specific behaviors…
  • NVIDIA TensorRT-LLMv4NVIDIA TensorRT-LLM is an open-source library developed by nvidia for high-performance inference of large language models on NVIDIA GPUs.
  • Gradient checkpointingv5Gradient checkpointing, also called activation checkpointing, activation recomputation, or rematerialization, is a memory-saving technique for training deep neural networks that trades extra compute for much…
  • ZeRO (Zero Redundancy Optimizer)v4ZeRO (Zero Redundancy Optimizer) is a family of memory-optimization techniques for training large neural networks introduced by Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase, and Yuxiong He at microsoft…
  • tiktokenv4tiktoken is an open source byte pair encoding (BPE) tokenizer library released by OpenAI in December 2022 that converts text into the integer token sequences its language models read and write.

Sunday, May 24, 2026

  • Grok Code Fastv4Grok Code Fast is a family of coding-specialized large language models from xai, the artificial intelligence company founded by elon musk.
  • OpenAI o3-miniv5OpenAI 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
  • Playwright MCPv3Playwright MCP is an open-source model context protocol server developed and maintained by microsoft that lets large language model agents control real web browsers through the Playwright cross-browser…
  • Open weightsv6Open weights is the practice of publishing the trained parameter tensors of a neural network so that anyone can download, run, fine-tune, and redistribute the model without obtaining a separate inference…
  • AI chip export controlsv8

Thursday, May 21, 2026

  • Action Chunking with Transformers (ACT)v4Action Chunking with Transformers (ACT) is an imitation learning algorithm for fine-grained robotic manipulation that predicts a short sequence (a "chunk") of future actions at once instead of a single next…
  • WRAP (Web Rephrase Augmented Pre-training)v4WRAP (Web Rephrase Augmented Pre-training) is a synthetic-data pre-training method introduced in the paper "Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling," posted to arXiv on 29…
  • Step-Videov4Step-Video is a family of open-source video generation models developed by StepFun (Shanghai Jieyue Xingchen Intelligent Technology Co., Ltd., Chinese: 阶跃星辰), a Chinese AI startup headquartered in Shanghai.
  • Skywork-R1Vv4Skywork-R1V is an open-weight family of multimodal reasoning models released by Skywork AI, the AGI and AIGC division of Beijing Kunlun Tech Co., Ltd. (Kunlun Wanwei).
  • Baidu ERNIE
NewerPage 19 of 47Older
AI chip export controls are a set of United States regulations that restrict the export, reexport, and in-country transfer of advanced artificial intelligence accelerators (graphics processing units, tensor…
  • Compute governancev5Compute governance is a policy framework that uses regulation of the computational resources used to train and run artificial intelligence systems as a primary lever for governing advanced AI.
  • AI watermarkingv7AI watermarking is a family of techniques for embedding an imperceptible, machine-detectable signal in content produced by generative artificial intelligence systems so that the content can later be identified…
  • Content provenancev4Content provenance is the set of techniques, standards, and policies for recording and disclosing the origin, authorship, and edit history of digital media.
  • C2PA (Coalition for Content Provenance and Authenticity)v8The Coalition for Content Provenance and Authenticity (C2PA) is an open technical standards body that develops Content Credentials, a cryptographically signed metadata format for tracking the provenance and…
  • Training runv4A training run is a single, deliberate instance of training a neural network from scratch (or from a prior checkpoint) on a specified dataset, with a fixed compute budget, hardware allocation, and time horizon.
  • GPU Clusterv7A GPU cluster is a group of servers containing graphics processing units that are connected by high-bandwidth, low-latency networks and operated as one computational pool.
  • LLM inference enginev4An LLM inference engine (also called an LLM serving engine or LLM inference server) is the systems software stack that loads trained large language model weights into GPU or CPU memory and answers user…
  • Multi-hop RAGv3Multi-hop RAG is a family of retrieval-augmented generation techniques designed to answer questions that require composing evidence from two or more documents or text chunks.
  • Vibe engineeringv3Vibe engineering is a term for the disciplined practice of building production software with the help of large language model coding agents
  • Contextual retrievalv3Contextual retrieval is a document indexing technique for retrieval augmented generation systems, introduced by anthropic on September 19, 2024 in a blog post titled "Introducing Contextual Retrieval".
  • Semantic chunkingv4Semantic 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…
  • Chunking (information retrieval)v3Chunking is the preprocessing step in document indexing and retrieval-augmented generation (RAG) systems in which a long document or corpus is split into smaller passages, called chunks, that are then embedded…
  • Rerankerv3A reranker (also called a cross-encoder reranker or rerank model) is a neural model used in retrieval augmented generation and information retrieval pipelines to re-score an initial set of candidate documents…
  • Superwhisperv4Superwhisper is a system-wide voice-to-text dictation application for macOS, Windows, and iOS, built by SuperUltra, Inc., a bootstrapped Toronto company founded by Neil Chudleigh.
  • Poolside AIv6Poolside AI is an American-founded artificial intelligence company that trains its own foundation models for software development and sells them to enterprises and regulated-industry customers that run the…
  • Claude for Enterprise and Teamsv6Claude for Enterprise and Teams is the collective name for Anthropic's business-tier subscriptions to its Claude assistant, comprising the Team plan, the Enterprise plan, and several segment-specific variants…
  • GPT-Realtime / OpenAI Realtime APIv7GPT-Realtime is a family of speech-to-speech models exposed through the OpenAI Realtime API, a low-latency interface that lets developers build voice agents which take spoken audio in and return spoken audio…
  • Claude memoryv3Claude memory is the umbrella term for the persistence features that let Anthropic's claude assistant retain information across sessions.
  • Antigravity (Google)v5Antigravity is an agentic software development platform from Google, launched in public preview on 18 November 2025 alongside the release of gemini 3 pro.
  • ChatKitv3ChatKit is an embeddable chat-interface SDK from OpenAI that lets developers drop a ChatGPT-style conversational UI into a web or mobile product with a single React component.
  • Agent Builder (OpenAI AgentKit)v3Agent Builder is a visual, browser-based workflow editor developed by openai for designing, versioning, and deploying multi-agent applications on top of the company's API platform.
  • Model Specv5The Model Spec is a public document published by openai that defines the intended behavior of the company's language models: how they should follow instructions, when they should refuse a request, how to…
  • Monosemanticityv3Monosemanticity is a property of an internal feature or neuron in a neural network when that unit responds to a single, human-interpretable concept rather than to a heterogeneous collection of unrelated inputs.
  • Context cachingv4Context caching is a large-language-model API feature that stores parts of a request's input (system prompts, instructions, attached documents, or earlier conversation turns) on the provider's infrastructure…
  • Interleaved thinkingv3Interleaved thinking is a feature of the Anthropic Messages API that lets Claude produce extended reasoning blocks between tool calls inside a single multi-turn agentic loop
  • Task budgetsv4Task budgets are an Anthropic API feature, in beta, that lets a developer tell the model how many tokens it has for a full agentic loop, including thinking, tool calls, tool results, and output.
  • Adaptive thinkingv5Adaptive thinking is an inference-time reasoning mode in the Anthropic Messages API in which a claude model decides, on a per-request basis, whether to use extended thinking at all and how much of it to spend
  • Noam Brownv3Noam Brown is an American computer scientist and research scientist at openai who specializes in artificial intelligence reasoning, multi-agent learning, search algorithms, and self-play.
  • Jack Clarkv8Jack Clark is a British technology writer turned artificial intelligence policy executive who co-founded Anthropic in 2021 and serves as the company's Head of Public Benefit
  • Christopher Olahv4Christopher Olah (commonly Chris Olah) is a Canadian machine learning researcher, a co-founder of Anthropic, and the researcher most often credited with founding mechanistic interpretability
  • Jared Kaplanv4Jared Daniel Kaplan is a theoretical physicist and artificial intelligence researcher who co-founded Anthropic in 2021 and serves as its Chief Science Officer
  • Tom B. Brownv3Tom B. Brown is an American artificial intelligence engineer and researcher best known as the lead author of "Language Models are Few-Shot Learners," the 2020 paper that introduced GPT-3.
  • Niki Parmarv3Niki Parmar is an Indian-American artificial intelligence researcher and entrepreneur best known as one of the eight co-authors of the 2017 paper "Attention Is All You Need"
  • Ashish Vaswaniv4Ashish Vaswani (born 1986) is an Indian-American computer scientist who is the first-listed author of the 2017 paper "Attention Is All You Need," the work that introduced the transformer architecture now…
  • v5
    Baidu ERNIE (Enhanced Representation through Knowledge Integration) is the family of large language and multimodal foundation models built by the Chinese technology company Baidu, spanning the original 2019…
  • Tencent Yuanbaov4Tencent Yuanbao (Chinese: 腾讯元宝; pinyin: Téngxùn Yuánbǎo) is a consumer-facing artificial intelligence assistant application developed and operated by Chinese technology company Tencent.
  • Doubao Seedreamv5Doubao-Seedream is the family of text-to-image generation foundation models developed by the ByteDance Seed team and shipped through ByteDance's Doubao product line and the company's Volcano Engine cloud…
  • Doubao Seedancev3Doubao-Seedance is a family of video generation foundation models developed by ByteDance Seed, the AI research division of Chinese technology conglomerate ByteDance.
  • Reve Imagev5Reve Image is a family of text-to-image generative models developed by Reve AI, Inc., a Palo Alto, California startup, whose current flagship, Reve 2.0 (released 3 June 2026)
  • Würstchenv4Würstchen is an efficient three-stage cascaded latent diffusion architecture for text-to-image synthesis introduced by Pablo Pernias, Dominic Rampas, Mats L. Richter, Christopher J. Pal
  • DALL-E 3v6DALL-E 3 (stylized by OpenAI as DALL·E 3) is the third generation of OpenAI's text-to-image system, announced on September 20, 2023 and released to ChatGPT Plus and Enterprise subscribers in October 2023
  • MMStarv4MMStar (Multi-modal Star) is a vision-language model evaluation benchmark consisting of 1,500 multimodal samples that were filtered from six pre-existing benchmarks to ensure both visual dependency (questions…
  • HELM (Holistic Evaluation of Language Models)v4HELM (Holistic Evaluation of Language Models) is an open-source benchmark framework created by the Center for Research on Foundation Models (CRFM) at Stanford University for the reproducible and transparent…
  • WMDP benchmarkv4The Weapons of Mass Destruction Proxy (WMDP) is a publicly released benchmark and unlearning testbed for large language models, introduced in the paper "The WMDP Benchmark: Measuring and Reducing Malicious Use…
  • Context Parallelismv4Context Parallelism (CP) is a distributed training strategy that partitions the input sequence dimension of a transformer across multiple accelerators and uses ring-style point-to-point communication to…
  • Sequence Parallelismv5Sequence parallelism (SP) is a family of distributed training techniques for transformer-based neural networks that partitions activations along the sequence (token) dimension across multiple accelerators…
  • Expert Parallelismv4Expert Parallelism (EP) is a model-parallelism strategy specific to Mixture of Experts (MoE) neural networks in which the individual expert sub-networks (typically feed-forward blocks) are sharded across…
  • InternVideov4InternVideo is a family of general-purpose video foundation models developed by OpenGVLab at the Shanghai Artificial Intelligence Laboratory in collaboration with Nanjing University and the Shenzhen Institutes…
  • Llama 3.2 Visionv4Llama 3.2 Vision is the set of multimodal (image-plus-text) models in Meta's Llama 3.2 family, released on September 25, 2024 at the Meta Connect 2024 developer conference.
  • MiniCPM-Vv6MiniCPM-V is a family of open-weights multimodal large language models published by OpenBMB, the shared open-source brand of Tsinghua University's Natural Language Processing lab (THUNLP) and the Beijing…
  • Qwen2-VLv4Qwen2-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.
  • AlphaFold-Multimerv4AlphaFold-Multimer is a deep learning system for predicting the three-dimensional structures of protein complexes, released by Google DeepMind in October 2021 as an extension of AlphaFold 2.
  • Chai-1v4Chai-1 is an open multimodal foundation model for biomolecular structure prediction released by the San Francisco startup Chai Discovery on 9 September 2024.
  • RFdiffusionv4RFdiffusion (short for RoseTTAFold diffusion) is a deep-learning system for de novo protein design developed at the University of Washington Institute for Protein Design (IPD) in David Baker's lab.
  • ESMFoldv5ESMFold is a protein structure prediction model developed by the Meta AI Fundamental AI Research (FAIR) Protein Team.
  • DeepSeek-Coderv5DeepSeek-Coder is a family of open-weight code large language models built for code generation, completion, and infilling, developed by the Chinese AI lab DeepSeek (DeepSeek-AI).
  • DeepSeekMathv4DeepSeekMath is a family of open-weight large language models specialized for mathematical reasoning, released by Chinese AI laboratory DeepSeek in February 2024.
  • DeepSeek-Proverv5DeepSeek-Prover is a family of open-weight large language models developed by Chinese AI laboratory DeepSeek for formal theorem proving in the Lean 4 proof assistant.
  • DeepSeek-VL2v5DeepSeek-VL2 is an open-weights family of Mixture-of-Experts (MoE) vision-language models released by the Chinese AI laboratory DeepSeek on December 13, 2024.
  • DeepSeek Janusv5DeepSeek Janus is a family of open-weight unified multimodal models from Chinese AI lab DeepSeek that perform both image understanding and text-to-image generation in a single autoregressive Transformer.
  • Least-to-Most Promptingv3Least-to-Most Prompting is a few-shot prompting technique for large language models introduced by researchers at Google Brain in May 2022.
  • Graph of Thoughtsv3Graph of Thoughts (GoT) is a prompting and reasoning framework that models the intermediate steps of a large language model as an arbitrary directed graph rather than a linear chain or a tree.
  • Skeleton-of-Thoughtv4Skeleton-of-Thought (SoT) is a prompting technique for large language models that reduces end-to-end generation latency by first eliciting a short outline of the answer (the "skeleton") and then expanding each…
  • Auto-CoTv4Auto-CoT (Automatic Chain of Thought) is an automated prompting method that builds few-shot Chain-of-Thought demonstrations for large language models without any human-written exemplars, introduced by…
  • Self-Refinev4Self-Refine is an inference-time prompting framework in which a single large language model iteratively improves its own output by alternating between generating natural-language feedback on a draft and…
  • Step-Back Promptingv5Step-Back Prompting is a two-stage prompting technique introduced by researchers at Google DeepMind in October 2023.
  • Chain of Density promptingv4Chain of Density (CoD) is a prompting technique for abstractive text summarization with large language models, introduced in the 2023 paper "From Sparse to Dense: GPT-4 Summarization with Chain of Density…
  • Self-Discover promptingv4Self-Discover is a prompting framework for large language models in which the model first composes a task-specific reasoning structure from a library of atomic reasoning modules
  • Pallas (JAX kernel language)v4Pallas is an experimental extension to JAX that lets users write custom hardware kernels in Python and lower them to both Tensor Processing Units and NVIDIA GPUs from a single source.
  • ThunderKittensv4ThunderKittens (often abbreviated TK) is an embedded C++ domain-specific language and header-only library for writing high-performance AI kernels on modern NVIDIA GPUs.
  • Triton (OpenAI GPU programming language)v4Triton is an open-source, Python-embedded programming language and compiler, originally created by Philippe Tillet and released by OpenAI in July 2021
  • torch.compilev3torch.compile is the just-in-time graph capture and compilation feature introduced in PyTorch 2.0, a release first announced at the PyTorch Conference on December 2, 2022 and shipped as a stable version on…