How LLMs Actually Work – The Complete Breakdown You Needed!
Автор: MicroDegree ಕನ್ನಡ
Загружено: 2025-12-11
Просмотров: 515
🔥 Everyone is using ChatGPT today — but one question remains: How does it actually work behind the scenes? 🤯
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AI tools like GPT, Claude, Gemini, and Copilot have become a daily part of work for developers, DevOps engineers, and even non-IT professionals.
But very few people truly understand what’s happening internally when you type a simple “Hi”.
In this Kannada explainer, we break down LLMs (Large Language Models) in the simplest and most practical way — using real examples and step-by-step clarity:
⏩ How GPT understands your message and replies like a human 💬
⏩ What Generative • Pre-trained • Transformer really means ⚙️
⏩ How pre-training works using simple, relatable examples 🎯
⏩ Why tokenization is the first step in understanding text 🔡
⏩ How AI converts words into numbers through encoding 🔢
⏩ What vector embeddings are and how AI understands context 📌
⏩ How transformers use “attention” to focus on the right meaning 🧠
⏩ How the encoder → decoder process finally generates your answer 🚀
⚡ By the end of this video, you’ll clearly understand how GPT works internally, how LLMs process your input, and why this knowledge is becoming essential for every tech learner in 2025 and beyond.
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