What is LLM Tokens - The Building blocks of AI

In this video Speaker is explaining about Token on LLM.
  📍 Tokens in LLM World. Imagine you’re reading a book, but instead of full sentences, the AI reads tiny chunks of text. Those chunks are called tokens. If you understand tokens, you understand half the magic behind how LLMs work.

  📍 📍 📍 LLMs don’t read language the way humans do. They break everything into tokens so the model can process text mathematically.

Why do LLMs use tokens?

Because language is messy.

Breaking text into tokens gives the model a consistent unit to work with.

Every token gets converted into numbers,

and those numbers are what the model actually understands.

So instead of reading:

“AI is transforming the world.”

The model sees:

[“AI”, “ is”, “ transform”, “ing”, “ the”, “ world”, “.”]

Token limits: the part everyone forgets

Every LLM has a maximum token capacity.

This is like the size of its working memory.

For example, if a model supports 128k tokens, it can only read, write, and think within that boundary.

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Nanda Kumar Kirubakaran
Generative AI Strategist | Founder & CEO, SaaviGen.AI

Nanda Kumar Kirubakaran is a Generative AI strategist specializing in enterprise LLM deployment and security. He founded SaaviGen.AI to help organizations build production-ready GenAI systems that balance innovation with risk management.

Background
With 23+ years in enterprise technology, Nanda held senior leadership positions at Cisco, Hewlett Packard Enterprise (HPE), Aruba, and ChargePoint, where he led large-scale network operations and built high-performing cybersecurity and operations teams. At Cisco, he worked extensively on security product development—including SIEM and NextGen Firewall solutions—helping the organization achieve global compliance standards. His career has spanned cybersecurity consulting, security product development, NOC and SOC operations, and implementation of security compliance programs across global infrastructure.

Current Focus

As founder of SaaviGen.AI, Nanda is committed to guiding professionals and enterprises in their GenAI journey, with a strong emphasis on LLM security. Drawing on his 23+ years in cybersecurity and enterprise technology, he helps organizations implement and safeguard Generative AI initiatives—ensuring solutions are resilient against emerging risks. Nanda engages in industry discussions, leads executive-level sessions, and shares actionable expertise that bridges traditional security rigor with cutting-edge AI advancements. His mission is to empower organizations to unlock AI’s full potential—securely, responsibly, and with lasting impact.

Expertise Areas
AI Security (OWASP LLM Top 10, Prompt Injection Defense)
LLMOps & Production Deployment
Enterprise AI Governance

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