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Thursday, March 19, 2026 Character.AI v7 Character.AI (stylized as character.ai or c.ai) is an AI chatbot platform that lets users create and converse with virtual characters powered by large language models, founded in November 2021 by former Google… Databricks v10 Databricks is an American enterprise software company that provides a unified data analytics and artificial intelligence platform built around the data lakehouse architecture. Distributed training v6 Distributed training is the practice of training a single machine learning model using many compute devices in parallel, splitting the data, the model, or both across GPUs, TPUs, or other accelerators that… Beam search v7 Beam search is a heuristic search algorithm for sequence generation that, at each decoding step, keeps only the top-K highest-scoring partial sequences (where K is the beam width) and discards the rest Scale AI v11 Scale AI is a San Francisco-based artificial intelligence company founded in 2016 by Alexandr Wang and Lucy Guo. Groq Hardware v10 Groq hardware is a family of artificial-intelligence accelerators and multi-chip systems built around a statically scheduled streaming architecture. AI Drug Discovery v6 AI drug discovery refers to the use of artificial intelligence techniques, including machine learning, deep learning, generative models, and natural language processing, to accelerate and improve the process… Cerebras Systems v11 Cerebras Systems is an American artificial intelligence hardware company that builds wafer-scale processors for AI training and inference AI in Healthcare v5 AI in healthcare is the application of artificial intelligence technologies, including machine learning, natural language processing, computer vision, and deep learning, to medical and clinical tasks such as… Protein folding v6 Protein folding is the physical process by which a polypeptide chain, a linear sequence of amino acids, acquires its functional three-dimensional structure, and the long-standing scientific challenge of… ImageNet v6 ImageNet is a large, hierarchically organized image dataset created to support research in computer vision, especially object recognition. AlphaFold v8 AlphaFold is an artificial intelligence system developed by Google DeepMind that predicts the three-dimensional structure of a protein directly from its amino acid sequence. word2vec v10 word2vec is a family of shallow neural network models, published by Tomas Mikolov and colleagues at Google in 2013 Synthetic data v11 Synthetic 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… Instruction Tuning v10 Instruction tuning is the post-pretraining training stage in which a large language model (LLM) is fine-tuned on a curated collection of (instruction Windsurf (software) v9 Windsurf is an AI-powered code editor developed by the company formerly known as Codeium (originally Exafunction). Runway (company) v12 Runway is a New York based artificial intelligence company that builds generative AI tools for video, with its Gen series of models and its GWM-1 world models. Computer use v12 Computer use is the capability of artificial intelligence models to control computers by viewing screens and performing mouse and keyboard actions, much like a human user would. Multi-agent system v9 A multi-agent system (MAS) is a system composed of multiple interacting intelligent agents that collaborate, compete, or negotiate to accomplish tasks that would be difficult or impossible for a single agent. Apple Intelligence v6 Apple Intelligence is Apple's personal intelligence system, a suite of generative AI features built into iPhone, iPad, Mac, Apple Watch, and Apple Vision Pro that combines on-device machine learning models… AlphaGo v5 AlphaGo is a computer program developed by DeepMind that plays the board game Go, and it was the first artificial intelligence to defeat a professional human Go player on a full 19x19 board without a handicap. AI search v5 AI search (also called AI-powered search, generative search, or an answer engine) is a class of search engine and search feature that uses large language models (LLMs) and generative AI to produce a direct AI Video Generation v5 AI 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… Function calling v13 Function calling is a capability of large language models (LLMs) that lets a model decide, during generation, to invoke an external function or API and emit the function name plus its arguments as structured… AI Image Generation v5 AI image generation is the use of artificial intelligence systems to create visual content, including photographs, illustrations, paintings, concept art, and graphic designs, from text descriptions, reference… Context engineering v7 Context engineering is the practice of designing, building, and optimizing the full set of information that a large language model receives in its context window at inference time Open-source AI v9 Open-source AI refers to artificial intelligence systems whose recipients have broad rights to use, study, modify, and share the system, together with access to the materials needed to exercise those rights. AI Code Generation v8 AI code generation is the use of artificial intelligence systems, particularly large language models (LLMs), to automatically produce source code from natural language descriptions, partial code snippets, or… MLOps v10 MLOps (Machine Learning Operations) is a set of practices, principles, and tools for deploying, monitoring, and maintaining machine learning models in production reliably and efficiently. LlamaIndex v10 LlamaIndex is an open-source data framework for building large language model (LLM) applications, with a particular focus on retrieval-augmented generation (RAG) and document processing. Cohere v10 Cohere is a Canadian artificial intelligence company that develops language, retrieval, speech, and multimodal models for businesses and public-sector organizations. Semantic search v6 Semantic search is an information retrieval approach that finds results based on the meaning and intent behind a query rather than relying solely on exact keyword matches. Knowledge graph v7 A knowledge graph is a structured representation of real-world entities and the relationships between them, organized as a network of interconnected nodes and edges. Cursor (code editor) v17 Cursor is a proprietary AI-assisted code editor and software-development platform made by Anysphere. Contrastive Learning v12 Contrastive learning is a family of machine learning methods that learn representations by pulling similar (positive) pairs of data points closer together in an embedding space while pushing dissimilar… Red teaming (artificial intelligence) v5 Red 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… State space model (deep learning) v6 A state space model (SSM) in deep learning is a class of sequence model that maps an input sequence to an output sequence through a fixed-size latent state Adversarial attack v8 An adversarial attack is a technique for crafting inputs that are deliberately designed to cause artificial intelligence systems, particularly machine learning models, to produce incorrect or undesired outputs. Jailbreak (artificial intelligence) v7 A jailbreak in artificial intelligence is a technique that bypasses the safety guardrails, content policies, and alignment constraints built into large language models (LLMs) and other AI systems Deepfake v7 A deepfake is synthetic media in which a real person's face, voice, or body is digitally replaced, manipulated, or fabricated using artificial intelligence, most often deep learning techniques such as… Vision Transformer v9 The Vision Transformer (ViT) is a deep learning architecture that represents an image as a sequence of fixed-size patches and processes that sequence with a Transformer encoder. Autoencoder v11 An autoencoder is a type of neural network trained to reconstruct its own input through a low-dimensional bottleneck representation, using the input itself as the training signal rather than any external label. Reasoning (artificial intelligence) v8 Reasoning 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. Graphics processing unit v10 A graphics processing unit (GPU) is a processor designed to execute many similar operations in parallel. Speculative Decoding v13 Speculative decoding is a lossless inference acceleration technique for autoregressive transformer models in which a small, fast draft model proposes several future tokens at once and the larger target model… Flash Attention v12 FlashAttention is a family of exact, input/output-aware algorithms and GPU kernels for scaled dot-product attention. EU AI Act v12 The EU AI Act is the common name for Regulation (EU) 2024/1689, a directly applicable European Union law that sets horizontal rules for artificial intelligence. Turing test v6 The Turing test is a test of a machine's ability to exhibit conversational behavior indistinguishable from that of a human, proposed in 1950 by the British mathematician and computer scientist Alan Turing in… Explainable AI v7 Explainable AI (XAI) refers to artificial intelligence systems and techniques designed so that humans can understand how and why the system reaches its decisions, predictions, or recommendations. AI winter v9 An AI winter is a period of reduced funding, waning public interest, and diminished research activity in the field of artificial intelligence. AI ethics v8 AI 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… Scaling Laws v9 Neural scaling laws are empirical relationships that describe how a measured outcome changes as a neural network, its training data, or the computation used to train it becomes larger. Superintelligence v10 Superintelligence is a proposed level of intelligence that would greatly exceed the cognitive performance of the best humans in practically every field. AI Alignment v10 AI alignment is the study and practice of making artificial intelligence systems behave in ways that accord with intended goals, preferences, constraints, or institutions. The term is used at several levels. Top-p sampling v6 Top-p sampling, also called nucleus sampling, is a stochastic decoding method for text generation in which the model samples from the smallest possible set of tokens whose cumulative probability mass exceeds a… Temperature (artificial intelligence) v7 Temperature is a hyperparameter that controls the randomness of a large language model's output by scaling the model's raw scores, called logits. Emergent abilities v7 Emergent abilities are capabilities of large language models (LLMs) that are absent in smaller models but appear once a model reaches sufficient scale. DPO v10 DPO (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… Constitutional AI v11 Constitutional 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… Retrieval-Augmented Generation v13 Retrieval-augmented generation (RAG) is a family of methods that retrieves information from an external collection and conditions a generative model on that information when producing an output. Deep Learning v11 Deep learning is a subset of machine learning that uses artificial neural networks with multiple layers to automatically learn representations of data at multiple levels of abstraction AI safety v13 AI safety is the research and practice of preventing or reducing unacceptable harm from artificial intelligence systems. Model Context Protocol v17 Model Context Protocol (MCP) is an open protocol for exchanging context and invoking capabilities between applications that use large language models and external programs or data sources. Gemini (language model) v18 Gemini is a family of natively multimodal large language models developed by Google DeepMind, first announced on December 6, 2023, that can reason across text, images, audio, video, and code within a single… Sora v13 Sora was a text-to-video generation model developed by OpenAI. OpenAI revealed the research model on February 15, 2024 and granted early access to red teamers, visual artists, designers, and filmmakers. Tokenization v10 Tokenization 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). Chain-of-Thought v13 Chain-of-thought (CoT) is a sequence of intermediate steps that a language model generates before its final answer. Generative AI v10 Generative AI is a class of artificial intelligence systems that produces new data instances, such as text, software code, images, audio, video, molecular structures, or other representations, by learning… Wednesday, March 18, 2026 Newer Page 38 of 47 Older v16
Z.ai is the international brand of the Chinese artificial intelligence company Zhipu AI (智谱AI), a 2019 spinout from Tsinghua University that builds the open-weight General Language Model (GLM) family and…
