Prompt Engineering
[/prɒmpt ˌendʒɪˈnɪərɪŋ/]
Definitions
機械支援の翻訳下書き (Japanese) for "Prompt Engineering": The craft of designing, structuring, and refining inputs (prompts) to elicit desired outputs from large language models. A skilled prompt engineer understands how to use context, examples, formatting, and instruction clarity to guide model behavior without changing the underlying weights.
“例文の下書き: Good prompt engineering turned an unreliable prototype into a production-ready feature in just a week.”
Related Terms
- Chain of ThoughtAI & Technology
機械支援の翻訳下書き (Japanese) for "Chain of Thought": A prompting technique where a language model is encouraged or required to show its step-by-step reasoning before providing a final ans...
- Few-ShotAI & Technology
機械支援の翻訳下書き (Japanese) for "Few-Shot": A prompting approach where a small number of input-output examples are included in the context to guide model behavior on a new task. Few-shot...
- Zero-ShotAI & Technology
機械支援の翻訳下書き (Japanese) for "Zero-Shot": The ability of a model to perform a task it has never been explicitly trained or shown examples for. Zero-shot learning relies on the model's...
- AgenticAI & Technology
機械支援の翻訳下書き (Japanese) for "Agentic": Describing AI systems capable of autonomous action, planning, and decision-making. An agentic AI can break down tasks, use tools, and work towa...
- Context WindowAI & Technology
機械支援の翻訳下書き (Japanese) for "Context Window": The maximum amount of text (measured in tokens) that a language model can process and "remember" in a single interaction. Information ou...
- Fine-TuningAI & Technology
機械支援の翻訳下書き (Japanese) for "Fine-Tuning": The process of further training a pre-trained model on a smaller, task-specific dataset to adapt its behavior for a particular domain or st...