Abstract: Directed Acyclic Graphs (DAGs) are widely utilized across various domains for tasks such as graph algorithms, data flow analysis, program optimization, and machine learning. Representing ...

The Getting Started Guide bridges the gap between MCP concepts and implementation with sequence diagrams and annotated code examples. Model Context Protocol (MCP) is an open standard (introduced in ...

Explore AI2001_Category-Source_Code-SC-Graph-Modeling-Language for efficient graph modeling in AI applications. Join us on GitHub! 🌟📊 ...

We introduced the LLM-Synergy framework, consisting of two ensemble methods: (1) a Boosting-based Weighted Majority Vote ensemble, refining decision-making by adaptively weighting each LLM, and (2) a ...

Microsoft’s partnership with OpenAI could be facing yet another test. Microsoft’s partnership with OpenAI could be facing yet another test. is a senior editor and author of Notepad, who has been ...

Researchers at NYU Tandon School of Engineering have created VeriGen, the first specialized artificial intelligence model successfully trained to generate Verilog code, the programming language that ...

With increasing model complexity, models are typically re-used and evolved rather than starting from scratch. There is also a growing challenge in ensuring that these models can seamlessly work across ...

TAIPEI, March 10 (Reuters) - Taiwan’s Foxconn (2317.TW), opens new tab said on Monday it has launched its first large language model and plans to use the technology to improve manufacturing and supply ...