Programming, AI, Machine Learning & Software Development Tutorials
The content discusses the evolution of AI engineer interview questions, shifting from basic LLM concepts to intricate topics involving AI agents. Key areas include the differences between agents and chatbots, the importance of state management, decision-making in agent design, tool selection, and handling infinite loops. Understanding these aspects is crucial for aspiring AI engineers.
This content serves as a comprehensive guide to retrieval strategies in Retrieval-Augmented Generation (RAG) systems. It contrasts sparse retrieval, which emphasizes keyword matching, and dense retrieval, focused on semantic understanding. Both strategies are essential for answering user queries effectively. The tutorial also highlights hybrid approaches for optimal performance.
From documents to embeddings, retrieval, reranking, prompt construction, and grounded answers — a practical walkthrough of how modern RAG pipelines actually work. Introduction In the previous article, we looked at Why LLMs Hallucinate is and why RAG has become one of the most important architectures for building LLM applications. But knowing what RAG is isn’t … Read more