Glossary

A large language model is a neural network with billions of parameters trained on massive text corpora to predict the next word in a sequence, powering tasks...

Model Context Protocol (MCP) is an open standard from Anthropic that standardizes how AI models connect to external tools and data sources via a...

Multimodal AI refers to models that process and generate multiple data types—text, images, audio, and video—within a single system.

Proprietary organizational data and institutional knowledge that generic AI can’t access—encompassing conversational transcripts, internal documentation,...

Referenced in 4 posts

Private-token sovereignty is the strategic imperative for organizations to maintain control over their unique data and institutional knowledge while...

Prompt engineering involves designing and refining inputs—ranging from simple instructions to detailed system prompts with examples, constraints, personas,...

Referenced in 1 post

Prompt injection is an attack where a user or data source inserts instructions that override a language model’s intended behavior.

Retrieval-augmented generation (RAG) links a large language model to external documents, databases, and APIs so it retrieves relevant, up-to-date context at...

Reinforcement Learning from Human Feedback (RLHF) trains a reward model on human preference comparisons and uses reinforcement learning to align language...

Referenced in 1 post

Strategic software combines frontier AI models, custom code, and unique organizational expertise to tackle qualitative, strategic marketing challenges—from...

Referenced in 1 post

Structured output occurs when a language model returns data in predictable, machine-readable formats—such as JSON, XML, or typed objects—rather than...

A system prompt is an invisible set of instructions given to a language model—defining its persona, constraints, output format, and behavioral rules—and...