AI is everywhere, from coding assistants to chatbots, but what's really happening under the hood? It often feels like a "black box," but it doesn't have to be.

In this episode, Allen sits down with Manning author and AI expert Emmanuel Maggiori to demystify the core concepts behind Large Language Models (LLMs). Emmanuel, author of "The AI Pocket Book," breaks down the entire pipeline - from the moment you type a prompt to the second you get a response. He explains complex topics like tokens, embeddings, context windows, and the controversial training methods that make these powerful tools possible.

IN THIS EPISODE

00:00 - Welcome & Why "The AI Pocket Book" is a Must-Read

15:20 - The Basic LLM Pipeline Explained

8:05 - What Are Tokens?

21:30 - Understanding the Context Window

25:50 - How Embeddings Represent Meaning

35:45 - Controlling Creativity with Temperature

39:30 - How LLMs Learn From Internet Data

45:25 - Fine-Tuning with Human Feedback (RLHF)

51:15 - Why AI Hallucinates

56:45 - When Not to Use

📘 GET THE BOOK!

Dive deeper into the concepts discussed in this episode with Emmanuel's book, "The AI Pocket Book".

Get 45% off with code FHWFmaggiori at checkout.

🔗 https://hubs.ly/Q03VL7R10

CONNECT

🎙️ Guest: Emmanuel Maggiori

https://emaggiori.com/

👨‍💻 Host: Allen Wyma

X/Twitter: https://x.com/allenwyma

🚀 Flying High with Flutter

Listen: https://podcasts.apple.com/hk/podcast/flying-high-with-flutter/id1562119447?i=1000523147383

Watch: / @flyinghighwithflutter

Connect:

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Facebook: https://www.facebook.com/FlyingHighWithFlutter/

Website: https://flyinghighwithflutter.com

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#AI #ArtificialIntelligence #LLM #MachineLearning #DeepLearning #ChatGPT #Developer #Programming #TechPodcast #SoftwareDevelopment #AITraining #Embeddings #Tokens