Agentic Tools

This section provides an overview of the Agentic Tools available within the Data Science Lab module. These tools enable users to build and manage autonomous AI systems.

In the context of data science, agentic tools are autonomous AI systems designed to independently execute complex, multi-step tasks to achieve a high-level objective. Unlike conventional scripts or models that follow predefined instructions, these tools demonstrate agency by actively planning, reasoning, and adapting their workflows.

The operational framework of an agentic tool typically involves:

• Perception: The system ingests data from diverse sources (e.g., databases, APIs, user input) to gain an understanding of the current state and environment.

• Reasoning: A core model, often powered by a Large Language Model (LLM), analyzes the perceived data to formulate a strategic plan.

• Planning: The high-level objective is deconstructed into a sequence of actionable sub-tasks.

• Execution: The system interacts with external tools and services to carry out the planned tasks.

• Adaptation: The tool continuously evaluates the outcomes of its actions, adjusting its strategy and future behavior to enhance performance and achieve the desired result.

This approach transforms the data science workflow from a manual, step-by-step process into an autonomous, goal-oriented system, enabling sophisticated and adaptive problem-solving.