DASHBOARD ENGINEERED PROMPTS

Errors & Warnings
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Prompt files with test
{{ percentage_with_tests | percentage }}
Total Cost
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Duration
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Prompt files with tests

{% for prompt_file in files_with_tests %} {% endfor %}
Prompt file % Passed Number of tests Duration Cost
{{ prompt_file.specification.filename }} {{ prompt_file.percentage_passed | percentage }} {{ prompt_file.test_count }} {{ prompt_file.total_duration }} {{ prompt_file.total_costs }}

Prompt files without tests

{% for prompt_spec in files_without_tests %} {% endfor %}
Prompt file
{{ prompt_spec.filename }}

Errors and Warnings


{{ errors_warnings }} {{ errors_warnings_details }}

About Engineered Prompts

Engineered Prompts: Structured Inputs for Automated Processes

In the rapidly evolving landscape of artificial intelligence, the concept of an "engineered prompt" is gaining prominence, particularly in environments that leverage large language models (LLMs) and other AI systems. Engineered prompts are meticulously crafted inputs designed to interact with AI models in a way that ensures consistent and reliable outputs. These prompts are not just queries but structured tools that are integral to the automated processes in which they function.

Definition and Purpose

An engineered prompt is a carefully designed input that is used to generate a specific type of response from an AI model. Unlike casual or ad-hoc prompts, engineered prompts are developed through a rigorous process that considers the nuances of the model’s language understanding and output capabilities. They are akin to code in software development, serving as a fundamental component that interacts with the AI to execute specific tasks reliably.

Characteristics of Engineered Prompts

Development and Maintenance

Just like any software code, engineered prompts require a structured development and maintenance process to ensure they remain effective and safe for use:

Use Cases

Engineered prompts are used in diverse fields such as customer service, content generation, automated programming help, and more. In each case, the prompt acts as a bridge between the user’s needs and the model’s capabilities, facilitating a controlled and predictable AI interaction.

More info