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Retrieval-augmented generation (RAG) allows AI systems to provide additional information and context to a large language model (LLM) when generating a response to a user query. However, traditional RAG-based methods can struggle to retrieve information that requires high-level knowledge of
I found this paper to be a worthwhile commentary on benchmarking practices in quantum computing. The key contribution is drawing parallels between current quantum computing marketing practices and historical issues in parallel computing benchmarking from the early 1990s. Main points:
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And if so, presumably the most intelligent people would need to implement this so they can distinguish the quality content at that level submitted by /u/d34dw3b [link] [comments]
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Google AI chatbot responds with a threatening message: “Human … Please die.”[1] AI-powered robot learned to perform surgery by watching doctors work.[2] AI pioneer François Chollet leaves Google.[3] ‘Hawk Tuah’ girl launches Pookie Tools, an AI-powered dating advice app, and