How Does ChatGPT Follow So Many Instructions? 🤯 | LLMs Explained with Examples & Math

Have you ever wondered how ChatGPT can write poems, explain scientific concepts, solve problems, and follow instructions it has never encountered before? 🤔 How can a single Large Language Model (LLM) handle so many different tasks? In this episode of Wellness & Wisdom, we explore this fascinating question using simple examples, intuition, and mathematics. We start with a simple instruction and gradually understand how LLMs learn, process information, and generate responses. 📚 What you'll learn: 🔹 What are Large Language Models (LLMs)? 🔹 How machine learning works 🔹 Pretraining and next-token prediction 🔹 Instruction tuning and how models learn to follow requests 🔹 Transformer attention: Query, Key, and Value (Q, K, V) 🔹 Understanding attention through a numerical example 🔹 Inference: How LLMs generate responses 🔹 Limitations of LLMs 🌱 About Wellness & Wisdom Wellness & Wisdom is a journey of learning, reflection, and growth. Here, we explore wellness of the body, mind, and soul, along with knowledge, wisdom, and exciting developments in science and technology. I'm learning these concepts myself and sharing my understanding along the way. The goal is not just to know the answers, but to understand the intuition behind them. 💬 Let's learn together! If you have questions, suggestions, or a different perspective, please share them in the comments. I'd love to learn from you as well. If you find this video helpful, consider liking, sharing, and subscribing to Wellness & Wisdom for more learning sessions. Thank you for being part of this journey! 🙏 #ChatGPT #LLM #ArtificialIntelligence #MachineLearning #DeepLearning #Transformers #WellnessAndWisdom