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LLM Prompt Optimization

Optimize your LLM prompts for Retrieval-Augmented Generation (RAG) with the JSON-based, and few-shot techniques. The article explores strategies for reducing hallucinations, improving context alignment, and addressing formatting errors. Extensive testing demonstrates the benefits of structuring prompts with clear instructions, separating context chunks, and leveraging in-context learning examples.

AIAI Blog SeriesLarge Language ModelsRetrieval Augmented GenerationPrompt Engineering

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LLM Prompt Optimization

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