Ishan Anand – How AI & LLMs Work

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Ishan Anand – How AI & LLMs Work

Many people use AI tools without understanding what happens beneath the interface.

How AI & LLMs Work is designed to demystify artificial intelligence by explaining how large language models

actually function, learn, and generate outputs.

Instead of surface-level tutorials, the course focuses on conceptual clarity.

Foundations Before Applications

The course emphasizes:

What language models are and are not

How training data shapes behavior

Why probabilities drive AI outputs

The limits of model reasoning

This foundation-first approach anchors How AI & LLMs Work in accurate understanding.

Breaking Down Complex Systems Simply

AI often feels opaque. Ishan Anand – How AI & LLMs Work highlights:

Core building blocks of modern AI systems

How tokens, embeddings, and context windows interact

Why models hallucinate

How prompt structure influences results

From Theory to Practical Mental Models

Understanding improves usage. It focuses on:

Mental models for interacting with LLMs

Predicting model behavior more reliably

Avoiding common misconceptions

Asking better questions of AI systems

These mental models increase the real-world usefulness of the program.

Separating Capability From Hype

AI hype distorts expectations. It reinforces:

Real strengths of LLMs

Structural limitations that remain

When AI excels versus fails

Responsible interpretation of outputs

This balanced perspective strengthens the credibility of the course.

Useful Across Technical and Non-Technical Roles

Product managers working with AI

Engineers refining system design

Marketers and strategists using AI tools

Founders making AI-related decisions

This accessibility broadens the value of the course.