Fine-Tuning vs RAG vs Prompt Engineering | LLM Optimization Methods Explained | #Shorts #Simplilearn

🔥Enroll Now To The Best AI and Machine Learning Courses - https://www.simplilearn.com/courses/ai?utm_campaign=Ec4inbwulxY&utm_medium=ShortsDescription&utm_source=Youtube 🔥Professional Certificate In Generative AI, Machine Learning, And Intelligent Control Systems - https://www.simplilearn.com/generative-ai-ml-intelligent-control-systems-course?utm_campaign=Ec4inbwulxY&utm_medium=ShortsDescription&utm_source=Youtube 🔥Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=Ec4inbwulxY&utm_medium=ShortsDescription&utm_source=Youtube 🔥Microsoft AI Engineer Program - https://www.simplilearn.com/ai-engineer-course?utm_campaign=Ec4inbwulxY&utm_medium=ShortsDescription&utm_source=Youtube 🔥Applied Generative AI Specialization - https://www.simplilearn.com/microsoft-applied-ai-course?utm_campaign=Ec4inbwulxY&utm_medium=ShortsDescription&utm_source=Youtube In this Shorts, we explain Fine-Tuning vs RAG vs Prompting in a simple and beginner-friendly way. These are three popular ways to work with Large Language Models. Prompting helps you get quick answers using clear instructions. RAG helps the model use fresh or private information before answering. Fine-tuning trains the model further for specialized tasks, consistent tone, and repeated workflows. Watch this quick comparison to understand which method is best for your AI project. Subscribe to Simplilearn for more AI and tech insights. #FineTuning #RAG #Prompting #PromptEngineering #GenerativeAI #ArtificialIntelligence #LLM #AI #MachineLearning #simplilearn ✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH ⏩ Check out More Videos on this Category By Simplilearn: https://www.youtube.com/playlist?list=PLEiEAq2VkUULyr_ftxpHB6DumOq1Zz2hq #finetuningvsragvsprompting #whatispromptengineering #llmoptimisationtechniques #whatisfinetuning #whatisrag #retrievalaugmentedgeneration #finetuningllm #llmoptimization #generativeai #llmtutorial #rag