SEARCH · ENGLISH EDITION
Find an AI concept.
Search titles, summaries, article text, source-language titles, and known aliases.
AI for Science
AI-assisted scientific prediction and candidate selection, with attention to experimental validation, data leakage and the scope of automated research.
BERT
Bidirectional Encoder Representations from Transformers, an encoder-based language representation model.
Benchmark Data Contamination
The presence of evaluation examples or closely related material in training data, potentially inflating benchmark results.
Data Provenance
Information about where data came from, how it was collected, and how it changed before use.
Datasheets for Datasets
A documentation framework for describing how datasets were created, composed, maintained, and intended to be used.
Diffusion Model
A generative model that learns to reverse a gradual noise process to create data such as images.
Fine-tuning
Additional training that adapts a pre-trained model to a narrower task, domain, or behavior.
Foundation Model
A broadly trained model that can be adapted to many downstream tasks and applications.
GPT
Generative Pre-trained Transformer, a family of autoregressive language models associated with OpenAI.
GPT-6 Astra
An OpenAI GPT-family model described for complex reasoning, coding, research and tool-based work, with a practical framework for task-level evaluation.
HELM
Holistic Evaluation of Language Models, a framework for evaluating models across scenarios and metrics.
Hallucination in AI
A generated statement that is unsupported, fabricated, or inconsistent with the available evidence or context.
Inference
The process of running a trained model on new input to produce predictions, embeddings, or generated output.
Knowledge Distillation
A training method in which a smaller student model learns from the outputs or representations of a larger teacher model.
Large Language Model (LLM)
A general-purpose language model trained on large datasets and usually built at substantial scale.
Latency and Throughput
Two core serving metrics describing response delay and the amount of work a system completes over time.
MMLU
Massive Multitask Language Understanding, a benchmark covering many academic and professional subject areas.
Model Card
A structured document that describes a model's intended use, evaluation, limitations, and other important context.
Physical AI
AI that connects perception and decision-making to physical actions, including robotics toolchains, sim-to-real gaps and evaluation of complete tasks.
Red Teaming
Adversarial testing intended to discover failure modes, unsafe behavior, or exploitable weaknesses in an AI system.
Retrieval-Augmented Generation (RAG)
A method that retrieves external information and supplies it to a generative model as context.
Tensor Processing Unit (TPU)
Google's specialized machine-learning accelerator, explained through matrix computation, software compatibility and workload-level evaluation.