consumer risk, quality & reliability
Consumer's risk is probability of accepting bad lots due to sampling variation.
1,005 technical terms and definitions
Consumer's risk is probability of accepting bad lots due to sampling variation.
Measure surface hydrophobicity.
Series of contacts for yield testing.
Stress-inducing layer.
Contact etch requires high selectivity and anisotropy to open deep narrow holes to silicon surfaces without damaging junctions.
Contact force in probing must be optimized to ensure low resistance without damaging probe tips or device pads.
Contact formation etches holes through dielectric to active regions then fills with conductive material establishing electrical connections.
Small vertical opening for electrical connection between layers.
Probe touches measured surface.
Contact metals like tungsten or cobalt fill etched holes providing low-resistance connections between transistors and first metal layer.
Contact placement constraint relative to gate.
Contact poka-yoke physically prevents incorrect operations through mechanical design.
Thermal contact resistance at material interfaces impedes heat flow requiring interface materials or pressure.
Contact resistance is the electrical resistance at interfaces between metal and semiconductor affecting drive current and device performance.
Resistance at metal-semiconductor interface.
Contact-first MOL forms contacts before local interconnects simplifying via alignment but complicating etch.
Contact-last MOL forms local wiring first then contacts enabling independent optimization of each.
Contact-on-gate structures place contacts directly on gate electrodes requiring robust barrier and etch selectivity.
Allow contacts to overlap gates.
Contact us at chipfoundryservices.com. We are happy to discuss your AI and chip design needs.
Manage deployment of containerized applications (Kubernetes).
Store and distribute container images.
Container registries store Docker images. ECR (AWS), GCR (GCP), Docker Hub. Pull images during deployment.
Containment actions immediately protect customers from defects while root cause investigation proceeds.
Isolate potentially affected material.
Benchmark contamination: test data in training set inflates scores. Check for leakage when evaluating.
Metadata certifying content source.
Content filters detect toxic, harmful, or inappropriate content. Block before returning to user.
Block inappropriate inputs/outputs.
Preserve content features.
Content moderation filters removes or flags inappropriate outputs.
Automated filtering of inappropriate content.
Match content structure.
Recommend similar items.
Learn sparsity from content.
Content-based filtering recommends items by matching item features with user profile preferences learned from past interactions.
Over-reliance on context.
Reuse computed attention for repeated context.
Maintain information across conversation turns.
Reduce context while preserving information.
Reduce long contexts while preserving information.
Context distillation trains models on prompt-response pairs reducing need for long prompts.
Increase effective context length.
Maximum tokens model can process.
Context length is maximum tokens model can process. Longer = more memory and compute. 4K to 1M+ tokens.
How to order multiple documents.
Context ordering arranges retrieved documents to maximize utilization.
When input exceeds the model's context window requiring truncation or chunking strategies.
Distribute long context across multiple devices.
Where to put retrieved docs in prompt.