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π Entity
Prompt engineering
Structuring text as input to generative artificial intelligence
π Rating
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π Topics
- Artificial Intelligence (1)
- Knowledge Retrieval (1)
- Computational Efficiency (1)
π·οΈ Keywords
GraphRAG (1) Β· Large Language Models (1) Β· Retrieval-Augmented Generation (1) Β· HyperNode Expansion (1) Β· Logical Path-Guided Evidence Localization (1) Β· Multi-hop Reasoning (1) Β· Computational Efficiency (1) Β· Knowledge Integrity (1)
π Key Information
Prompt engineering is the process of structuring natural language inputs (known as prompts) to produce specified outputs from a generative artificial intelligence (GenAI) model. Context engineering is the related area of software engineering that focuses on the management of non-prompt contexts supplied to the GenAI model, such as metadata, API tools, and tokens.
During the 2020s AI boom, prompt engineering became regarded as an important business capability across corporations and industries.
π° Related News (1)
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πΊπΈ HELP: HyperNode Expansion and Logical Path-Guided Evidence Localization for Accurate and Efficient GraphRAG
arXiv:2602.20926v1 Announce Type: new Abstract: Large Language Models (LLMs) often struggle with inherent knowledge boundaries and hallucinations, li...
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People and organizations frequently mentioned alongside Prompt engineering:
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Large language model Β· 1 shared articles