According to @godofprompt, leading AI engineers at OpenAI, Anthropic, and Microsoft are shifting from traditional RAG (Retrieval-Augmented Generation) systems to graph-enhanced retrieval methods, ...
Abstract: Graph cut algorithms are widely used to solve min-cut/max-flow problems across various optimization applications. A common approach in recent FPGA accelerators of graph cut algorithms is to ...
Using the right model and the right prompt is only part of the enterprise AI challenge, it's also critical to optimize the prompt. The breakthrough in prompt optimization arrives alongside Databricks' ...
Abstract: Graph cut algorithms are popular in optimization tasks related to min-cut and max-flow problems. However, modern FPGA graph cut algorithm accelerators still need performance and memory ...
A new MCP Server for Fabric has also been added to enable developers to connect agents to Fabric’s ecosystem to accelerate tasks, such as creating a data pipeline or notebook. Microsoft is adding two ...
This repository contains the source code and datasets for our proposed framework on temporal action segmentation, as described in the paper titled Semantic Smoothness Optimization via Graph-Cut Energy ...
research synthesisReading papers to figure out which ideas can be incorporatedReading papers to figure out which ideas can be incorporated Fully Homomorphic Encryption (FHE) is a promising ...
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