LLM Prompting Techniques
A systematic overview of prompt engineering techniques for large language models: from basic paradigms like zero-shot and few-shot, to cutting-edge approaches including Chain-of-Thought (CoT), Self-Consistency, Tree of Thoughts (ToT), ReAct, and Retrieval Augmented Generation (RAG).
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