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  • A Prompt Pattern Catalog to Enhance Prompt Engineering with . . .
    Prompt engineering is an increasingly important skill set needed to converse effectively with large language models (LLMs), such as ChatGPT Prompts are instructions given to an LLM to enforce rules, automate processes, and ensure specific qualities (and quantities) of generated output
  • Unleashing the potential of prompt engineering for large . . .
    Summary This review explores the role of prompt engineering in unleashing the capabilities of large language models (LLMs) Prompt engineering is the process of structuring inputs, and it has emerged as a crucial technique for maximizing the utility and accuracy of these models
  • (PDF) Prompt Engineering in Large Language Models - ResearchGate
    Prompt Engineering is a technique used to control the responses of Large Language Models (LLMs) by formulating specific statements or questions to elicit the desired results from the
  • A Prompting Framework to Enhance Language Model Output
    Therefore, this study investigates the effectiveness of prompt engineering in improving the performance and generalisation of large-scale language models Prompt engineering involves the design of effective input queries to enhance these models’ output, leading to more useful and accurate LLM outputs (Brown et al 2020)
  • Adaptive prompt engineering: Optimizing large language model . . .
    Static prompting methods fail to properly adapt to situations with complex dynamic contexts This research develops adaptive prompt engineering methods which modify themselves through current contextual data and understanding model approaches and changes in input text
  • Unleashing the potential of prompt engineering for large . . .
    In this review, the authors explore in detail a wide range of prompt engineering methods, including strategies for both large language models and multimodal large models, and discuss the important role of prompt engineering in AI security
  • Model-Driven Prompt Engineering - IEEE Xplore
    Abstract: Generative artificial intelligence (AI) systems are capable of synthesizing complex content such as text, source code or images according to the instructions described in a natural language prompt The quality of the output depends on crafting a suitable prompt





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