In this final episode of the five part AI mini-series, Mr. Fred tackles three real-world questions: how AI affects learning in schools, what it means for medicine, and whether your prompts actually train chatbots.

Hear clear answers about how AI tools are changing our world and how curiosity and creativity keep us ahead of the machines.

Download the Prompt Guide and graduate from AI user to AI thinker!

🎓 Grab the free Prompt Guide → getmecoding.com/prompt-guide

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In Episode 9 of Mr. Fred’s Tech Talks, we continue our AI mini-series by tackling one of the most important skills you can build: prompting with precision.

Just like following a software specification or a cybersecurity checklist, details matter. Mr. Fred shares a story from his days navigating with topographic maps and a lensatic compass, proving that clarity and focus have always been survival tools.

We’ll break down the CRAFT acronym for effective prompting:

• Clear – Be specific with your request.
• Role – Give AI a perspective.
• Add Details – Context strengthens results.
• Format – Shape how output is delivered.
• Tweak – Refine until it’s right.

Along the way, we add some nostalgic soundbites (yes, even Bill and Ted get a cameo) to make it fun and memorable.

This Episode’s Tech Tip: Treat every prompt like a specification document—precision pays off.

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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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