What really happens when you type a sentence into ChatGPT or any large language model?
In this deep dive, we go beyond the hype to uncover the essential preprocessing pipeline that powers every LLM—from GPT to Claude to LLaMA.
🔍 You’ll discover:
How tokenization breaks raw text into the building blocks of meaning 🔤
Why subword units help AI understand even made-up or rare words 🧩
How sliding windows turn a single paragraph into thousands of training samples 📚
What word embeddings are—and how they create a map of relationships in language 🗺️
How to customize this pipeline for domain-specific AI applications 🔧
Whether you're building apps on top of LLMs, fine-tuning a custom model, or just curious about how AI understands text—this episode breaks it all down with clear visuals, analogies, and real-world relevance.
🎯 Perfect for:
AI Developers • Data Scientists • ML Engineers • Technical Architects • Curious Minds
👉 Subscribe for more deep, practical insights into LLMs and the world of AI.
#LLMs #NLP #AI #ChatGPT #MachineLearning #Embeddings #Tokenization #NaturalLanguageProcessing #AIExplained
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