Reducing Artificial Intelligence Costs in Business through Prompt Optimization
This study investigates the optimization of token consumption in large language models (LLMs) through prompt engineering, specifically comparing full-sentence prompts with keyword-based alternatives. Analyzing data from multiple LLM providers across four task types (Question-Answer, Duty, Summary,...
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| Format: | Article |
| Language: | English |
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IJMADA
2025-05-01
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| Series: | International Journal of Management and Data Analytics |
| Subjects: | |
| Online Access: | https://ijmada.com/index.php/ijmada/article/view/81 |
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