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Find an AI concept.
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AI Agent
An AI system that selects and executes actions over multiple steps to pursue a goal.
Anthropic
An AI company that develops the Claude model and product family and conducts AI safety research.
Claude
A family of general-purpose AI models and conversational products developed by Anthropic.
Foundation Model
A broadly trained model that can be adapted to many downstream tasks and applications.
GPU
A highly parallel processor widely used to train and run modern machine-learning models.
Gemini
A family of multimodal AI models and products developed by Google.
Google AI Ecosystem
A guide to separating Google's research organizations, models, products and Cloud infrastructure when reading AI announcements.
Inference
The process of running a trained model on new input to produce predictions, embeddings, or generated output.
KV Cache
A cache of attention keys and values used to avoid recomputing earlier context during autoregressive generation.
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.
LoRA
Low-Rank Adaptation, a parameter-efficient technique for adapting large neural networks.
Mixture of Experts (MoE)
A model architecture that routes each input to a subset of specialized parameter blocks called experts.
Multimodal AI
AI systems that process or generate more than one type of data, such as text, images, audio, or video.
Tokenization
The process of converting text or other input into discrete units that a model can process.
Transformer
A neural network architecture that processes sequences primarily through attention mechanisms.