Prompt Engineering Vs RAG Vs Finetuning Simplified In Tamil 🔥

Want to become a Data Analyst, Data Scientist, or GenAI Engineer? Service Enquiry Form: 🔗 For B2B Collaboration(zPROx.AI): https://connectwithus.zprox.ai/ 🔗 For AI Coaching Program(PROITBRIDGE): https://inductionform.proitbridge.com... --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Enroll in Tamil Nadu’s No.1 AI Community... Led by AI Coach John, created for the Tamil community to access course materials and stay updated with future AI developments. https://whatsapp.com/channel/0029Vb7q... --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Related Links: https://www.naukri.com/job-listings-d... https://sheets.whitetable.ai/ai-engin... --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- When should you use Prompt Engineering, RAG, or Fine-Tuning? Which one is the right solution for your AI application? In this video, we break down the three most important concepts in modern AI Engineering — Prompt Engineering, Retrieval-Augmented Generation (RAG), and Fine-Tuning. Many beginners learn these terms separately, but struggle to understand when each approach should be used and why companies choose one over the other. We'll compare all three approaches with practical examples, real-world use cases, advantages, limitations, costs, and implementation complexity. By the end of this video, you'll have a clear framework for deciding whether a problem needs better prompts, external knowledge through RAG, or model customization through Fine-Tuning. From AI chatbots and coding assistants to enterprise AI applications and AI agents, these concepts form the foundation of modern Generative AI systems. 🚀 In this video, you'll learn: • What Prompt Engineering is and how it works • What RAG (Retrieval-Augmented Generation) is • What Fine-Tuning means in AI systems • The differences between Prompt Engineering, RAG, and Fine-Tuning • When to use each approach in real-world projects • Cost, complexity, and performance trade-offs • Common mistakes AI engineers make • How modern AI applications combine all three techniques • A practical framework for choosing the right solution 🔥 Timestamp: 00:00 Intro 02:51 Agenda 03:43 Microdoft Azure Data Architecture 07:43 What is Fine-Tuning ? 12:00 Fine-Tuning Limitations 14:06 RAG 17:52 RAG Limitations 19:11 Agentic AI 22:42 Takeaway -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 📢 Don't forget to Like 👍, Comment 💬 & Subscribe 🔔 for more career insights! 📤 Share this podcast with friends and colleagues who want to break into the world of data science and succeed in the future job market. Prompt Engineering Tamil RAG Tamil Tutorial Fine Tuning Tamil Prompt Engineering vs RAG Tamil RAG vs Fine Tuning Tamil Prompt Engineering vs Fine Tuning LLM Fine Tuning Tamil What is RAG Tamil What is Fine Tuning Tamil What is Prompt Engineering Tamil AI Engineering Tamil Generative AI Tamil LLM Engineering Tamil AI Engineer Roadmap Tamil Vector Database Tamil Embeddings Explained Tamil AI Agents Tamil Context Engineering Tamil Retrieval Augmented Generation Tamil Large Language Models Tamil Artificial Intelligence Tamil Machine Learning Tamil AI Product Development Tamil Build AI Apps Tamil AI Tools Tamil 2026 Future of AI Engineering Tamil AI Real World Projects Open Source LLM Tamil AI Developer Tamil Advanced AI Concepts Tamil RAG or Fine Tuning Which is Better Prompt Engineering vs RAG vs Fine Tuning The Most Important AI Concepts AI Engineer Must Know This How Modern AI Systems Work Build Better AI Products Tamil LLM Architecture Explained Tamil AI Systems Design Tamil RAG Masterclass Tamil Fine Tuning Masterclass Tamil Prompt Engineering Masterclass Tamil GenAI Engineer Roadmap Tamil AI Career Growth Tamil Learn AI the Right Way Tamil Real World AI Architecture Tamil