Скачать или смотреть Prompt Based Application Workflow // RapidMiner // AI studio // AI Automation

A Prompt-Based Application Workflow in tools like RapidMiner, AI Studio, and AI Automation typically refers to a system where users can input a natural language prompt to guide an AI model in executing tasks such as data analysis, prediction, automation, or decision-making. Here's how it works in different tools:

1. RapidMiner (AI & Data Science Platform)
Workflow Example:

Prompt Input: A user provides a query, e.g., "Analyze customer churn trends based on last year’s sales."

Data Processing: The system retrieves, cleans, and processes data automatically.

AI Model Execution: A pre-trained ML model predicts churn patterns.

Result Output: The system generates visualizations, reports, or recommendations.

2. AI Studio (Google Vertex AI Studio, AWS Bedrock, or Custom AI Studio)
Workflow Example:

Prompt: "Summarize key insights from this dataset."

AI Model Selection: Uses LLMs (e.g., PaLM, GPT, Claude) for text processing.

Data Interaction: Fetches data from sources (Google Cloud, AWS, local databases).

Response Generation: Outputs structured summaries, charts, or insights.

3. AI Automation (RPA + AI for Process Automation)
Workflow Example:

User Prompt: "Automate invoice processing from emails."

AI Model Execution: NLP extracts invoice details, validates data.

Automation Trigger: RPA bots upload structured data to ERP systems.

Action Output: Generates reports, sends alerts, or completes transactions.

Key Benefits of Prompt-Based Workflows:
✅ Faster AI Execution – No need for manual coding.
✅ User-Friendly Interface – Simplifies complex ML tasks.
✅ Scalable Automation – Reduces workload with AI-powered decision-making.