🤖 Core Concepts Behind Agentic AI | LLM, Prompt, Tools, Memory & Planning

In this video, we break down the core concepts behind Agentic AI in a simple and practical way for engineers.

If you want to understand how AI Agents actually work internally, this video is for you.

📌 In This Video, You Will Learn

✅ What is an LLM (Large Language Model)?

✅ What is a Prompt?
Instruction vs Question

✅ How Tools such as APIs, Web, and Code give AI Agents execution power

✅ Why Memory is important
Short-Term Memory & Long-Term Memory

✅ How Planning helps AI Agents make better decisions

🧠 The Core Components of an AI Agent

LLM → The Brain
↓
Prompt → Instructions
↓
Tools → Execution Power
↓
Memory → Context & Information
↓
Planning → Decision Making

Together, these components help create intelligent and capable AI Agents.

📺 Agentic AI Series

This video is part of the Agentic AI series on SomethingTalk1.

👉 Previous Video: What is Agentic AI? (No Hype)

👉 Next Video: Build Your First AI Agent (Coming Soon)

💡 Perfect For

• Software Engineers
• AI Learners
• Developers
• Students

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