AI Factory Glossary

fabless model, business

Design without manufacturing.

fact verification, ai safety

Check factual accuracy.

factorvae,generative models

Encourage disentanglement through discrimination.

factual association tracing, explainable ai

Track fact retrieval process.

factual recall heads, explainable ai

Store and retrieve facts.

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.

falcon,foundation model

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

fallback model, llm optimization

Fallback models provide backup responses when primary systems fail.

false negative rate in moderation, ai safety

Missed harmful content.

false positive rate in moderation, ai safety

Incorrectly flagged safe content.

fast adversarial training, ai safety

Efficient adversarial training.

fast geometric ensembling (fge),fast geometric ensembling,fge,machine learning

Collect models along training trajectory.

fastai,practical,pytorch

fastai is practical deep learning library. Built on PyTorch.

fault localization,code ai

Pinpoint error-causing statements.

fault tolerance in training, infrastructure

Continue despite failures.

fault-tolerant quantum computing, quantum ai

Quantum computing with error correction.

fbnet, neural architecture search

FBNet uses differentiable NAS with hardware-aware latency loss to discover efficient architectures optimized for specific mobile devices.

fci algorithm, fci, time series models

Fast Causal Inference algorithm discovers causal graphs allowing for hidden confounders.

feature attribution in transformers, explainable ai

Identify important features.

feature envy, code ai

Method using another class's data.

feature matching distillation, model compression

Match intermediate feature distributions.

feature visualization in language models, explainable ai

Visualize what features detect.