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RAG & Its Types (Design, Trade-offs, and Recommendations)

RAG & Its Types (Design, Trade-offs, and Recommendations)

What RAG Solves Retrieval-Augmented Generation (RAG) is an LLM pattern that answers questions by retrieving relevant facts from a knowledge base (docs, databases, wikis, APIs) right before the model writes its reply. Instead of relying…

Is GPT-5 just a SOTA high-level MoE?

Is GPT-5 just a SOTA high-level MoE?

When OpenAI unveiled GPT-5, the reactions ranged from excitement to skepticism. Some noticed hints that the system might be a high-level Mixture-of-Experts (MoE) architecture — the kind where each query is routed to a specialized…