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Welcome to Episode 0x02 of the LLM & Generative AI Series — where we explore the fascinating journey of how Large Language Models evolved into the powerful AI systems we use today. Before ChatGPT and modern GenAI tools existed, decades of research in Natural Language Processing (NLP), machine learning, and deep learning shaped the foundation of today’s AI revolution. In this episode, we break down the evolution step-by-step in a simple and practical way. 🚀 What you will learn: ✅ Early NLP and rule-based systems ✅ Statistical language models and machine learning era ✅ Rise of Deep Learning in NLP ✅ Word embeddings (Word2Vec, GloVe conceptually) ✅ The Transformer breakthrough (Attention mechanism) ✅ GPT, BERT, and modern LLM evolution ✅ How we reached ChatGPT and Generative AI today This episode connects history with real engineering understanding so you can clearly see why LLMs work the way they do today. Perfect for developers, AI learners, data engineers, and anyone starting their GenAI journey. 👉 Follow the full series as we move from fundamentals → architecture → RAG → AI agents → production deployment. 🔎 Keywords history of LLM, evolution of AI language models, NLP history explained, transformer model history, GPT evolution, generative AI tutorial, large language models explained. 🔥 Hashtags #LLM #GenerativeAI #ArtificialIntelligence #ChatGPT #NLP #MachineLearning #TransformerModel #GenAI #AIHistory #DeepLearning #AIForDevelopers #LearnAI