LexisNexis' chief AI officer explains why standard RAG fails in high-stakes legal AI — and how graph RAG, planner agents, and ...
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A new method to steer AI output uncovers vulnerabilities and potential improvements
A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...
Abstract: Compute-In-Memory (CiM) is emerging as a promising paradigm to design energy-efficient hardware accelerators for AI, addressing the processor-memory data transfer bottleneck. The popularity ...
This project is a production-oriented Retrieval-Augmented Generation (RAG) system designed to bridge the gap between AI research prototypes and deployable, real-world AI services. The primary goal of ...
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