Brij Kishore Pandey
LLM ≠ Generative AI ≠ AI Agents ≠ Agentic AI
We need to stop grouping them together.
Each serves a different purpose, operates at a different level of complexity, and solves a different class of problems.
Here’s the breakdown:
🔹 LLM
Predicts tokens based on patterns in data.
No memory. No intent. No task execution. Just input → output.
🔹 Generative AI
Builds on LLMs to create text, code, images, etc.
It understands latent space and can generate novel content—but it still waits for instructions.
🔹 AI Agents
Execute predefined tasks.
They detect intent, call tools or APIs, and handle responses. They’re modular and functional—but not autonomous.
🔹 Agentic AI
Operates with goals, plans, context, and memory.
It reasons, adapts, calls sub-agents, monitors progress, and decides what to do next—without human instruction.
This isn’t just a progression of features.
It’s a shift in system design—from prediction to orchestration, from commands to autonomy.
If you're building with AI, clarity on where your system fits in this stack determines everything: architecture, tooling, risk, and value.
For GIF, look here
https://www.linkedin.com/posts/brijpandeyji_llm-generative-ai-ai-agents-agentic-activity-7355965770012491776-jAH9?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAFvb4sBDNrkvuRa0AxL4xsDk4H1TYEYH30
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