Prompts for building AI/ML systems — RAG pipelines, model selection, prompt engineering, LLM fine-tuning, agent workflows, and responsible AI practices.
7 prompts found
Implement semantic search using embeddings — vector database setup, embedding generation, hybrid search, and r...
Build an AI chatbot with tool/function calling, conversation memory, RAG context, and multi-turn reasoning cap...
Build a framework to evaluate LLM outputs — accuracy, relevance, safety, cost, latency, and A/B comparison tes...
Design a multi-agent AI system — agent roles, communication patterns, task decomposition, and human-in-the-loo...
Design production-grade LLM-powered applications with proper caching, fallback strategies, cost management, mo...
Audit ML models and AI systems for fairness, bias, and ethical concerns — with structured testing methodologie...
Design efficient vector storage schemas for embedding-based applications — index selection, metadata filtering...
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