#production

FastAPI uses Python type hints to automatically generate API validation serialization and OpenAPI documentation. Production-ready additions include async database access dependency injection for auth middleware for logging/CORS rate limiting and…

Feature leakage (data leakage) is when information from the future or from the target variable is included in the training features causing artificially high training metrics that completely fail to…

Prompt engineering is the practice of designing inputs to LLMs to reliably produce desired outputs. It matters in production because the same model with different prompts can produce dramatically different…

Model drift is the degradation of model performance over time as the real-world data distribution changes after deployment. Detect with monitoring (input distribution prediction distribution and ground truth metrics). Handle…

For a production deployment of a Vue.js application, I would use tools like Webpack or Vite for bundling and optimizing assets. Additionally, setting up CI/CD pipelines with tools such as…

To manage prompt length effectively, I focus on being concise while retaining essential context. This involves prioritizing relevant inputs and continuously testing and iterating on prompts to measure their impact…

LLM application quality requires a multi-layered evaluation strategy: offline evals (automated benchmarks using LLM-as-judge) online monitoring (latency cost error rates) and human evaluation for quality calibration. There is no single…