Technology

Understanding GPT & AI: A Complete Guide

Demystify artificial intelligence — from neural networks to ChatGPT

10 Episodes

Audio Lessons

237 Minutes

Total Learning

Beginner

Friendly

The AI Revolution

Artificial intelligence has moved from science fiction to daily life. ChatGPT passed the bar exam. AI generates art, writes code, and threatens to transform every industry.

But what actually is AI? How does GPT work? What can it do — and what can't it? This collection cuts through the hype to explain what's really happening.

What You'll Learn

What Is AI?

    Artificial intelligence is machines doing tasks that typically require human intelligence. But there are different types:
  • Narrow AI: Excels at specific tasks (chess, image recognition)
  • General AI: Human-level intelligence across domains (doesn't exist yet)
  • Superintelligence: Beyond human intelligence (theoretical)

Machine Learning Basics

Most modern AI is machine learning: systems that improve from experience. Instead of programming rules, we train models on data.

Neural Networks

Inspired by brains, neural networks are layers of connected nodes. Deep learning uses many layers. This enables breakthrough capabilities in vision, language, and more.

GPT and Large Language Models

GPT (Generative Pre-trained Transformer) predicts the next word in a sequence. Trained on internet-scale data, it develops remarkable capabilities — and limitations.

The Future

Where is AI heading? Multimodal models. AI agents. Safety concerns. Job displacement. The debate over consciousness.

All Episodes

10 audio lessons • 237 minutes total

1

What Is AI?

Coming Soon

Defining AI. History from Turing to today. Narrow vs general AI. The AI winter and revival. Why AI is everywhere now.

~25 min

2

Machines That Learn

Coming Soon

How ML differs from traditional programming. Supervised, unsupervised, reinforcement learning. Training data and models. Real-world applications.

~25 min

3

Neural Networks: Inspired by the Brain

Coming Soon

What neural networks are. Neurons and weights. Forward propagation. Backpropagation. Why depth matters. Universal approximation.

~30 min

4

What Does GPT Stand For?

Coming Soon

Generative Pre-trained Transformer explained. How GPT predicts next words. Pre-training on massive data. Fine-tuning. The evolution from GPT-1 to GPT-4.

~25 min

Inside ChatGPT

Inside ChatGPT

Under the hood of ChatGPT. RLHF: reinforcement learning from human feedback. Why it seems smart. What it's really doing. Limitations and capabilities.

14 min
6

AI Can Do What?! Surprising Capabilities

Coming Soon

Emergent abilities. Passing exams. Code generation. Reasoning tasks. Chain of thought. What's impressive and what's overhyped.

~25 min

7

AI Limitations: What It Can't Do (Yet)

Coming Soon

Hallucinations. Reasoning limits. Knowledge cutoffs. Common sense gaps. Why AI isn't conscious. The alignment problem.

~25 min

Ethics of AI

Ethics of AI

Bias in AI systems. Misinformation concerns. Job displacement. AI safety research. Existential risk debates. Regulation approaches.

20 min
9

The AI Industry: Players and Products

Coming Soon

OpenAI, Anthropic, Google, Meta. Open source models. AI startups. Enterprise adoption. Investment landscape. Competition dynamics.

~25 min

Future with AI

Future with AI

Multimodal AI. AI agents. AGI predictions. Jobs of the future. Coexisting with AI. Preparing for an AI-transformed world.

23 min

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Related topics:

what does gpt stand forgptartificial intelligencechatgpthow ai worksmachine learningneural networksai explainedllmlarge language models