Tag: prompt-engineering

A reusable prompt template library for common LLM tasks: summarization, extraction, classification, code review, translation, and structured output with variables, examples, and evaluation criteria.

Version your LLM prompts with eval scores, change history, rollback support, and A/B testing. Includes prompt metadata schema, changelog format, evaluation tracking, and CI/CD integration for prompt management.

Build production LLM applications end-to-end. Covers API layers, prompt management, streaming, caching, guardrails, observability, evaluation, and deployment patterns for reliable LLM-powered systems.

Write effective prompts for AI models. Covers prompt patterns, few-shot learning, chain-of-thought, RAG, system prompts, temperature tuning, function calling, and evaluation strategies.