How Do Large Language Models Learn? | AI Series Pt. 3

How does ChatGPT actually learn? In Episode 8 of Mr. Fred’s Tech Talks, we go behind the curtain to explore how Large Language Models are trained and why the process isn’t as magical as it looks.

You’ll discover:

• How Large Language Models train step by step, billions of rounds of “guess the next word.”
• Why tokens are the LEGO bricks of AI learning.
• How GPUs, servers, and warehouse-sized data centers form the backbone of AI training.
• A simple library analogy that makes servers easy to understand.
• What happens when training goes wrong: bias, hallucinations, and overfitting.

AI isn’t just software, it’s powered by huge amounts of energy, specialized hardware, and careful fine-tuning by humans. And while it’s powerful, it’s not perfect. These systems don’t “think” like we do they predict patterns, one token at a time.

💡 Tech Tip of the Episode: Try asking ChatGPT/CoPilot/Gemini/Grok etc. a simple question, then twist it:

• “Who was the first person to walk on the moon?” → Neil Armstrong
• “Who was the first person to walk on the sun?” → Watch how it tries to answer the impossible.

This little experiment shows why AI can amaze us one moment and confuse us the next.

Join me in Episode 8 to learn how AI models are trained, what really happens inside data centers, and why understanding this matters for parents, teachers, and anyone curious about the future of technology.

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