Description:

Delve into the cutting-edge world of Retrieval Augmented Generation (RAG) in this immersive half-day course. Discover how RAG seamlessly integrates information retrieval with natural language generation, revolutionizing content creation and question-answering systems. Through interactive sessions and practical exercises, you’ll unlock the power of RAG and learn to leverage its capabilities for diverse applications.

Duration : Half day ( 3 Hrs)

Course Coe: BDT346

Learning Objectives:

• Understand the principles and components of Retrieval Augmented Generation (RAG).
• Learn to implement RAG models for text generation and question answering.
• Explore strategies for fine-tuning and optimizing RAG models for specific tasks.
• Gain hands-on experience through guided exercises and case studies showcasing RAG’s real-world applications.