embedding
PulseAugur coverage of embedding — every cluster mentioning embedding across labs, papers, and developer communities, ranked by signal.
4 天有情绪数据
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LLM Ops: Detect Eval Drift and Track Customer Costs
The author discusses two common challenges in managing LLM applications: eval set drift and per-customer cost reporting. For eval set drift, they propose using Maximum Mean Discrepancy (MMD) on embeddings to detect when…
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AI embeddings explained: From meaning to vectors and RAG
Embeddings are a core concept in AI, transforming text and other data into numerical representations that capture meaning. These numerical vectors allow AI models to understand relationships between words and concepts, …
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VectorSmuggle attack hides data in AI embeddings; VectorPin offers defense
Researchers have identified a new steganographic attack vector called VectorSmuggle, which allows attackers to hide data within embeddings stored in vector databases used by RAG systems. This method exploits the lack of…
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Developers need to grasp tokens, embeddings, and context windows for AI features
Developers building AI features need to understand core concepts like tokens, embeddings, and context windows to ensure their applications function correctly in production. Tokens represent the basic units of text proce…