Master LLM Fine-Tuning : What, Why & When? (vs RAG & Prompt Engineering)...

Master LLM Fine-Tuning : What, Why & When? (vs RAG & Prompt Engineering) | Part1

🚀 Kickstart your journey into Large Language Model (LLM) customization with Part 1 of our comprehensive Fine-Tuning series! In this introductory video, we demystify Fine-Tuning:

🎯 What is Fine-Tuning?                        👉 Understand the core concept of adapting pre-trained LLMs.

🎯 Why & When to Use Fine-Tuning?              👉 Discover the scenarios where fine-tuning shines, from domain-specific tasks to consistent brand voice.

🎯 When NOT to Use Fine-Tuning?                👉 Learn when other approaches might be more suitable.

🎯 Fine-Tuning vs. RAG vs. Prompt Engineering? 👉 A clear comparison of methods, data needs, flexibility, latency, use cases, and costs.

🎯 Key Takeaways?                              👉 Summarizing the essentials to get you started.

👨‍💻 This video is perfect for anyone looking to go beyond basic LLM usage and tailor models for specific, high-performance applications. Whether you're a developer, data scientist, or AI enthusiast, this series will guide you step-by-step.

RAG AI APP Tutorial Series - https://www.youtube.com/watch?v=_7yeffCToAc&list=PLoVvAgF6geYORLp5oYRAcBBbS8nIaitzU  

Vector Database Tutorial Series - https://www.youtube.com/playlist?list=PLoVvAgF6geYPFtTrec1x58GpwC3O6pMJl