Learn how AI Agents use tools to perform actions beyond simple text generation.
In this Python tutorial, understand how an LLM selects a tool, sends arguments, and receives the result.
Explore the complete LLM β Tool Call β Python Execution β Result β Final Response workflow.
Learn how to build an AI Agent using OpenAI and Python with automatic tool calling.
The agent intelligently selects the right tool, executes it, and processes the results.
Understand the complete Decide β Tool Call β Execute β Respond Agentic AI workflow.
Learn how to build an AI Agent using Python that can work with multiple tools and intelligently decide which tool to use. The agent analyzes the user's request, selects the appropriate tool, executes actions, and uses the results to complete the taskβdemonstrating the complete Think β Choose Tool β Execute β Respond Agentic AI workflow.
Can an AI Agent read a real file, understand its content, and modify it automatically? π€π
In this practical Agentic AI tutorial in Tamil, we build an AI Agent using Python + OpenAI Tool Calling that can read and edit a text file.
AI is moving from prompts to agents. In this video, we explain Engineering Thinking in AI using Google ADK β why mindset matters more than tools. Then links: π Blog: https://teltam.in/#blogs π Subscribe to SomethingTalk1 β Tags (quick paste) AI Engin...
In this video, we explore MetaGPT, the powerful AI Agent framework that can act like a virtual software company. We cover: β What is MetaGPT? β How it works without LLM (mock demo) β AI Agents coordination like PM, Engineer, QA β Why MetaGPT is...