Kasam Shaikh
Microsoft Azure AI Enthusiast
RAG enhances AI by retrieving external knowledge, but Agentic RAG goes further—adding decision-making and automation. Learn the key differences and why Agentic RAG is the future of AI-driven solutions.
AI agents are revolutionizing software architecture with intelligent problem-solving. Learn about ReACT, Compound AI, and dynamic automation for developers.
In today’s dynamic technological landscape, Solution Architects play a pivotal role in designing and implementing innovative solutions that drive business…
This article provides a comprehensive look at how Retrieval-Augmented Generation enhances the capabilities of Large Language Models, ensuring they remain accurate, relevant, and trustworthy in their responses.
What is RAG, Fine Tuning and RAFT (Retrieval Augmented Fine-Tuning) ?
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