GenerativeAI

RAG

Which LLM wins at RAG Q&A?

Which LLM wins at RAG Q&A? RAG (Retrieval-Augmented Generation) helps reduce hallucinations by grounding answers in source documents. This study tested five 7B-class models on computer science literature Q&A to compare accuracy and speed. * GPT‑3.5 + RAG answered both yes/no and long-form questions effectively.

From Doodle to Design: Sketch‑to‑Layout Made Simple

From doodle to design Imagine sketching a rough poster layout and instantly getting a polished version. That’s the promise of Sketch‑to‑Layout, a new approach that uses your sketch as the design guide. * How it works: A multimodal transformer takes your quick sketch plus content (text/images) and

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