Look up any term in AI.

Transparency

Transparency in AI is the degree to which a system's data, workings, and decisions are visible and disclosed to users, auditors, and regulators.

Text Analysis

Turning unstructured text into structured data — the concrete NLP task catalog: classification, sentiment analysis, entity extraction and topic modeling.

Gradient Boosting

Each tree is fitted to the negative gradient of the loss, not to the residuals — a boosting round worked by hand, and what changes under log loss.

Advanced Packaging

CoWoS, chiplets and 3D stacking — how compute dies and memory become one accelerator, and the assembly step that has actually gated AI chip supply.

Large Language Model (LLM)

A large language model predicts the next token of text. How that produces answers, where its knowledge is stored, and why an LLM is not a chatbot.

Semantic Search

Semantic search finds results by meaning, not exact keywords: it embeds the query and documents as vectors and returns the nearest ones.