Prompting techniques for LLMs involve designing specific inputs to guide model output toward relevance and contextual accuracy. These techniques include direct prompts (explicit instructions or questions), contextual prompts (background information), and chained prompts (sequences of prompts to refine responses incrementally).

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• Person: Not available Organization: Springer
  A survey on augmenting knowledge graphs (KGs) with large ...

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• A survey on augmenting knowledge graphs (KGs) with large ... link.springer.com Springer via serper

Referenced by nodes (1)

• Large Language Models concept