Unlock the full potential of AI with our MasterClass on "Prompt Engineering, RAG, and Fine-tuning LLM Usecases and Benefits". This comprehensive video explores the art of effective Prompt Engineering, introduces RAG (Retrieval-Augmented Generation) basics, and dives into the benefits of fine-tuning Large Language Models (LLMs). Whether you're looking to optimize AI applications or explore innovative use cases, this tutorial provides valuable insights into each technique with practical examples.
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Timelines:
0:00 - Intro
0:40 - Video Section Details
2:24 - Effective Prompt Engineering
4:23 - Prompt Engineering Use Cases
5:00 - RAG Basics
7:13 - Prompt Engineering @RAG+ RAG
7:38 - Prompt Engieering + RAG Use Cases
8:34 - Improving RAG Systems
9:09 - RAG Re-Ranking
10:32 - Multi Step RAG Setup
11:35 - Fine-Tuning LLMs and Benefits
12:41 - Fine-Tuning MisConception
14:05 - Finetuning + Prompt Engineering + RAG
14:55 - Conclusion
🚀 For Developers and AI Enthusiasts:
This video is a must-watch for developers aiming to leverage AI for creating innovative SaaS platforms.
AI enthusiasts curious about the latest techniques in AI development and application enhancement.
🔍 Topics Covered:
Effective Prompt Engineering and its applications.
Introduction to RAG and combining it with Prompt Engineering.
Advanced RAG techniques: Re-ranking and Multi-Step approaches.
The significance of Fine-tuning LLMs and its integration with RAG and Prompt Engineering.
Practical examples illustrating the application of each technique.
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#AISaaS #PromptEngineering #RAG #LLMFineTuning #TechTutorial #innovation
