Artificial intelligence, machine learning, and LLM integration.
Effective prompts are clear, specific, and structured, using techniques like few-shot examples, chain-of-thought, and role assignment.
RAG (Retrieval-Augmented Generation) enhances LLM responses by fetching relevant documents from a knowledge base before generating answers.
Consider task requirements (speed, accuracy, cost), whether to use APIs or self-host, model capabilities, and your latency and privacy requirements.
Effective context management involves summarization, chunking, relevance filtering, and strategic placement of important information.
Implement input validation, output filtering, rate limiting, content moderation, and graceful error handling for AI features.
Build evaluation datasets from real examples, define success metrics, test edge cases, use human review, and monitor production outputs.
Join our network of elite AI-native engineers.