profiling,bottleneck,optimize
Profiling identifies performance bottlenecks. CPU, memory, I/O. Optimize critical paths.
9,967 technical terms and definitions
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.
Split long prompts.
Combine multiple prompts.
Prompt compression reduces token count while preserving information to fit context limits.
Vector representation of prompts.
Sophisticated techniques for crafting effective prompts.
Craft prompts for grounded generation.
Prompt engineering crafts input text to elicit desired behaviors from language models.
Combine predictions from multiple prompts.
Adversarial inputs to subvert model.
Techniques to prevent injection.
Defend against prompt injection: separate system/user prompts, filter inputs, use structured output, limit tool access.
Prompt injection inserts malicious instructions into prompts attempting to hijack model behavior.
Attack where user input tricks model into ignoring instructions or leaking info.
Trick model into revealing system prompts or instructions.
I can help you build a reusable prompt library with templates, variables, and patterns for consistent high-quality outputs.
Prompt mining discovers effective prompts by searching large candidate spaces.
Check prompts before processing.
Prompt optimization systematically improves prompts to maximize task performance.
Automatically improve prompts through search or gradient-based methods.
Prompt sensitivity measures performance variation across phrasings and formats.
How to format effective prompts.
Prompt templates define reusable patterns for consistent task formatting.
Reusable prompt structures.
Cut off excess tokens.