Prompt Engineering
Crafting effective instructions to get desired outputs from AI models.
Definition
Prompt engineering is the practice of designing and refining the instructions given to AI models to achieve desired outputs. Effective prompts provide clear context, specify output format, include relevant examples, and guide the model's reasoning process. In document intelligence, prompt engineering optimises extraction accuracy, response quality, and consistency. It is often more cost-effective than fine-tuning for adapting models to specific use cases.
More in AI Technology
Agentic AI
AI systems that can autonomously plan, reason, and execute multi-step tasks.
Context Window
The maximum amount of text an AI model can process in a single request.
Fine-tuning
Adapting a pre-trained AI model to perform better on specific tasks or domains.
Large Language Model (LLM)
AI models trained on vast text data to understand and generate human language.
See Prompt in action
Understanding the terminology is the first step. See how Conductor applies these concepts to solve real document intelligence challenges.
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