AI Factory Glossary

factor analysis, data analysis

Identify latent factors explaining variance.

factorized adaptation, audio & speech

Factorized adaptation separates speaker and environment variations for efficient ASR customization.

factorvae,generative models

Encourage disentanglement through discrimination.

factory acceptance test, fat, production

Test at vendor site.

factory interface,automation

Front-end module for loading/unloading wafers from FOUPs as described.

factory ramp-up, production

Increase factory output.

factual association tracing, explainable ai

Track fact retrieval process.

factual recall heads, explainable ai

Store and retrieve facts.

factuality, evaluation

Truthfulness of model outputs.

factuality, evaluation

Factuality measures accuracy and verifiability of generated statements.

fail fast,experiment,learn

Fail fast: quick experiments, learn from failures, pivot. AI is uncertain; embrace experimentation.

fail-safe design, manufacturing operations

Fail-safe design defaults to safe state when failures occur protecting people and equipment.

failure analysis (fa),failure analysis,fa,quality

Investigate failed chips to find root cause.

failure mechanism analysis, failure analysis

Study how failures occur.

failure mode analysis, testing

Systematically find failure cases.

failure mode and effects analysis for equipment, fmea, reliability

Systematic equipment reliability analysis.

failure mode distribution, reliability

Frequency of different failure types.

failure mode effects analysis (fmea),failure mode effects analysis,fmea,quality

Systematic reliability analysis.

failure mode, manufacturing operations

Failure modes describe how equipment can fail characterizing symptoms and mechanisms.

failure rate,reliability

Frequency of failures over time.

fair darts, neural architecture search

Fair DARTS addresses performance collapse in differentiable NAS through early stopping regularization and fair operation selection.

fair federated learning, federated learning

Ensure fairness across clients.

fair share scheduling, infrastructure

Equitable resource allocation.

fairness constraints, evaluation

Fairness constraints enforce equitable treatment during model training.

fairness constraints, recommendation systems

Fairness constraints in recommendations ensure equitable treatment across demographic groups or item categories.

fairness in recommendations,recommender systems

Ensure fair exposure for all items.

fairness metric, evaluation

Fairness metrics quantify equitable performance across populations.

fairness metrics,ai safety

Quantify and measure bias across different demographic groups.

fairness metrics,ai safety

Quantify bias and fairness (demographic parity equalized odds).

fairness-aware rec, recommendation systems

Fairness-aware recommendation incorporates constraints or regularization to ensure equitable exposure and outcomes across user groups.

fairness,bias,discrimination

AI fairness ensures equal treatment across groups. Demographic parity, equalized odds. Audit for bias.

fairscale, distributed training

PyTorch extension for large-scale training.

faiss (facebook ai similarity search),faiss,facebook ai similarity search,vector db

Library for efficient similarity search in high dimensions.

faiss, faiss, rag

FAISS provides library for efficient similarity search and clustering of dense vectors.

faiss, faiss, rag

Library for efficient vector search.

faiss,facebook,similarity

FAISS is Facebook similarity search. Billion-scale.

faithful chain-of-thought,reasoning

Ensure reasoning steps are logically sound.

faithfulness to retrieved context, rag

Generate only from provided documents.

faithfulness, rag

Faithfulness ensures generated answers are supported by provided context.

fake news detection,nlp

Classify news articles as real or fake.

fakenewsnet, evaluation

Fake news benchmark.

falcon,foundation model

Open-source LLM trained on high-quality web data.

falcon,tii,open

Falcon is TII open source LLM. High quality training data.

fallback model, llm optimization

Fallback models provide backup responses when primary systems fail.

fallback strategies,reliability

Backup plans when primary method fails.

false negative rate in moderation, ai safety

Missed harmful content.

false path, design & verification

False paths cannot propagate signals during functional operation allowing timing exception.

false positive rate in moderation, ai safety

Incorrectly flagged safe content.

fan-out wafer-level packaging,advanced packaging

Package dies at wafer level with RDL extending beyond die area.

faq,questions,answer

Generate FAQ content. Common questions, clear answers.