prodigy,annotation,active
Prodigy is active learning annotation tool. Efficient labeling. SpaCy integration.
758 technical terms and definitions
Prodigy is active learning annotation tool. Efficient labeling. SpaCy integration.
Producer's risk is probability of rejecting good lots due to sampling variation.
Product audits inspect finished goods for specification compliance.
Product carbon footprint quantifies greenhouse gas emissions attributable to specific products.
Write descriptions for products.
Write product descriptions. Features, benefits.
AI-assisted product concepts.
Product lifetime spans from introduction to discontinuation in market.
Handle multiple products.
Product quantization decomposes vectors into subvectors quantized independently for compression.
Product quantization compresses vectors into compact codes for efficient search.
Compress vectors for efficient search.
Tests matching actual devices.
Product stewardship extends manufacturer responsibility to entire product lifecycle including design use and end-of-life management.
AI features should solve real user problems. Avoid AI for AI sake. Measure user value, not just tech metrics.
Production leveling distributes work evenly over time reducing peaks and enabling stable operations.
Plan manufacturing schedule.
Increase production volume.
Production scheduling sequences manufacturing operations optimizing throughput and resource utilization.
Time processing product wafers.
Test lab competence.
Monitor functional relationships.
GPU profilers (Nsight, rocprof) identify bottlenecks. Measure memory, compute, occupancy. Essential for optimization.
Analyze performance bottlenecks.
Profiling identifies performance bottlenecks. CPU, memory, I/O. Optimize critical paths.
Measure surface height profile mechanically or optically.
Predict remaining useful life.
Program of thoughts generates executable code representing reasoning for numerical problems.
Automatically generate programs from specifications.
Generate code to solve reasoning tasks.
Program-aided language models offload computation to code interpreters.
Defect that grows over time.
Gradually reduce diffusion steps.
Gradually increase resolution.
Progressive growing gradually increases resolution during training stabilizing GAN training.
Gradually increase resolution during GAN training.
Add capacity for new tasks.
Add new capacity for each task.
Start training on small images increase size.
Progressive shrinking trains once-for-all networks by gradually incorporating smaller sub-networks starting from the largest architecture.
Continuously increase stress.
Gradually unfreeze layers during fine-tuning.
Say you want to build a project from scratch and I will sketch the architecture, modules, tech stack, and first implementation steps.
Prometheus collects time-series metrics. Grafana for visualization. Standard for monitoring.
Open-source monitoring and alerting toolkit.
Cache processed prompts.
Prompt caching reuses processed prompts reducing latency and cost for repeated prefixes.
Cache common prompt prefixes to save compute.
Use output of one prompt as input to next.
Prompt chaining sequences multiple prompts passing outputs as subsequent inputs.