AI Factory Glossary

constitutional ai,principle,claude

Constitutional AI uses principles to guide model. Self-critique and revision. Anthropic approach.

constrained beam search,structured generation

Beam search that respects format constraints.

constrained decoding, llm optimization

Constrained decoding enforces rules during generation ensuring valid outputs.

constrained decoding,grammar,json

Constrained decoding forces output to match grammar. Guaranteed valid JSON, code syntax. Outlines library.

constrained decoding,inference

Force generation to follow certain rules (format JSON grammar specific vocabulary).

constrained generation, graph neural networks

Constrained graph generation enforces validity rules like chemical valency during molecular design.

constrained generation, text generation

Generate following constraints.

constrained mdp, reinforcement learning advanced

Constrained Markov Decision Processes extend MDPs with constraint functions limiting expected cumulative costs.

constrained optimization, optimization

Optimize with physical constraints.

constraint management, manufacturing operations

Constraint management focuses improvement on system bottlenecks maximizing throughput.

constraint management, production

Optimize constraining step.

constraint solving

Find values satisfying constraints.

contact chain,metrology

Series of contacts for yield testing.

contact,reach,email

Contact us at chipfoundryservices.com. We are happy to discuss your AI and chip design needs.

container orchestration,infrastructure

Manage deployment of containerized applications (Kubernetes).

container registries, infrastructure

Store and distribute container images.

container registry,ecr,gcr

Container registries store Docker images. ECR (AWS), GCR (GCP), Docker Hub. Pull images during deployment.

containment action, quality & reliability

Containment actions immediately protect customers from defects while root cause investigation proceeds.

containment, production

Isolate potentially affected material.

content filtering, ai safety

Block inappropriate inputs/outputs.

content loss, generative models

Preserve content features.

content moderation, ai safety

Content moderation filters removes or flags inappropriate outputs.

content moderation,ai safety

Automated filtering of inappropriate content.

content reference, generative models

Match content structure.

content-based sparse attention, transformer

Learn sparsity from content.

context compression,llm optimization

Reduce long contexts while preserving information.

context extension techniques, llm architecture

Increase effective context length.

context overflow,llm architecture

When input exceeds the model's context window requiring truncation or chunking strategies.

context parallelism,distributed training

Distribute long context across multiple devices.

context window extension,llm architecture

Techniques to handle longer than training context.

context window management, llm optimization

Context window management maximizes information density within token limits.

contextual augmentation, advanced training

Contextual augmentation uses language models to replace words with contextually appropriate alternatives for text augmentation.

continual learning on edge, edge ai

Adapt models on edge over time.

continual learning,model training

Training strategy to learn new tasks sequentially without forgetting old ones.

continuity chain, yield enhancement

Continuity chains verify metal line integrity through long serpentine resistors detecting opens.

continuous batching, llm optimization

Continuous batching processes sequences of varying lengths efficiently by dynamic grouping.

continuous normalizing flows,generative models

Flows defined by ODEs.

continuous-filter conv, graph neural networks

Continuous-filter convolutions use radial basis functions to model distance-dependent interactions in molecular graphs.

continuous-time models,neural architecture

Models operating in continuous time.

contract review,legal ai

Automatically review contracts.

contrastive divergence, generative models

Training algorithm for EBMs.

contrastive explanation, explainable ai

Explain why this class not another.

contrastive search, llm optimization

Contrastive search balances coherence and diversity through degeneration penalty.

controllable image captioning, multimodal ai

Generate captions with constraints.

controlled differential equations, neural architecture

Model sequences as responses to control signals.

controlnet conditioning, multimodal ai

ControlNet adds spatial conditioning to diffusion models through auxiliary networks.

controlnet weight, generative models

Strength of control signal.

controlnet, generative models

Add spatial control to diffusion.

controlnet,generative models

Add spatial control signals (edges depth poses) to guide image generation.

conve, graph neural networks

ConvE applies 2D convolutions over reshaped embeddings for efficient knowledge graph completion.