Mastering RAG: 10 Projects in Retrieval-Augmented Generation

About this course

This course focuses on building your skills in the development of Custom GPT systems and RAG technology, the course focuses on the utilization of RAG technology on various sectors. The course touches on a step by step approach on how to build a RAG sector through Custom GPTs, Vector Embeddings, Vector databases and API deployment on the 2nd Chapter the course provide 10 different practical projects on how to create a GPT System.

In the ever-evolving landscape of artificial intelligence, the demand for personalized and highly efficient AI models has never been more critical. This comprehensive course is meticulously designed to equip you with profound knowledge and practical skills in developing Custom Generative Pre-trained Transformer (GPT) systems, with a special focus on the integration of Retrieval-Augmented Generation (RAG) technology. As we delve into the realms of AI customization, this course will guide you through the intricacies of tailoring GPT models to specific sectors, leveraging the cutting-edge capabilities of RAG technology to enhance the functionality, relevance, and efficiency of AI applications.

Sector-Specific GPT Systems – Project-Based Learning

Expert Knowledge GPT System (Education, Research & Development): Designing AI to augment academic research and facilitate educational processes.

Car Pooling GPT System (Transport): Creating sustainable transport solutions through AI-driven carpooling services.

Domestic Car Charging & Rental GPT System (Transport): Innovating the transport sector with AI-powered car rental and charging systems.

Community Motorbikes and Bicycle Renting Services (Transport): Enhancing urban mobility with AI-enabled bike-sharing ecosystems.

Group Sports (Leisure & Sports): Fostering community sports engagement through intelligent

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