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Welcome to NLP Class 5 – Text Generation, part of the AI & Data Science Course conducted at Saylani Z.A.I.T Park under the supervision of Sir Nasir Hussain. In this class, we explore one of the most exciting and advanced applications of NLP — Text Generation. Text Generation allows machines to generate human-like text, which is used in applications such as chatbots, AI assistants, content generation, auto-replies, story writing, and code generation. This class builds a strong conceptual foundation for modern AI systems like ChatGPT and other LLMs. 📘 What You Will Learn in NLP Class 5 What is Text Generation in NLP? Difference between text classification & text generation How machines learn to generate text Language Models concept explained N-grams overview Basic idea of sequence modeling Real-world examples of text generation Use cases: chatbots, AI writers, auto-complete Challenges in text generation How text generation fits into modern AI systems 🎯 Learning Outcomes After this class, you will be able to: ✅ Understand how text generation works ✅ Differentiate predictive vs generative NLP tasks ✅ Build a strong base for advanced NLP & LLM topics ✅ Prepare yourself for chatbot & AI assistant projects 👨🏫 Class Information Course: NLP (AI & Data Science) Class: 5 Topic: Text Generation Instructor: Sir Nasir Hussain Institute: Saylani Z.A.I.T Park 📌 Stay connected for upcoming NLP classes on Chatbots, Transformers, LLMs, and real-world NLP projects.