Topic: retrieval systems
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Google's AI Runs on Flash: Chief Scientist Explains Why
Google prioritizes its efficient Gemini Flash model for AI search features to achieve the low latency and sustainable costs required for global deployment. A key technique is model distillation, where capabilities from larger "Pro" models are transferred to Flash, allowing it to improve performan...
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Why Your Best Content Gets Ignored by AI
The "Utility Gap" describes a growing disconnect between content that is relevant and helpful for human readers and what AI models deem useful for generating answers, meaning a page can be excellent for people but ignored or misused by AI. AI systems, like those using retrieval-augmented generati...
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Google DeepMind's BlockRank: A New Way AI Ranks Information
Google DeepMind introduced BlockRank, a new method that enhances how large language models organize and retrieve information by addressing the computational bottleneck of in-context ranking. BlockRank reengineers document processing by focusing on individual document content and instructions, usi...
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AI Privacy Research Is Focused on the Wrong Threats
AI privacy research has disproportionately focused on data memorization and chat history protection, overlooking more critical vulnerabilities in how large language models gather, process, and infer information during daily operations. A review of over 1,300 studies revealed that 92% addressed on...
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