GATE Data Science & Artificial Intelligence (DA) Important Questions: GATE Data Science & Artificial Intelligence (DA) ...

A quiet revolution is unfolding in artificial intelligence circles. While large language models capture headlines with their impressive generative capabilities, a more fundamental challenge lurks ...

According to God of Prompt on Twitter, Graph Retrieval-Augmented Generation (Graph RAG) enables relationship traversal by connecting customer tickets, API documentation, engineering discussions, and ...

According to @godofprompt, leading AI systems at frontier labs are utilizing hybrid retrieval by integrating vector search for broad initial matching and graph traversal for deep contextual ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Abstract: Control flow graph models program execution paths and is essential for program analysis and compiler optimizations. Compilers traverse thousands of graphs during compilation, thus, efficient ...

Embedding-based search outperforms traditional keyword-based methods across various domains by capturing semantic similarity using dense vector representations and approximate nearest neighbor (ANN) ...

They met at 10 p.m. each weeknight, after class at Columbia University. Sometimes talking over Zoom until 2 AM, Anish Agarwal, Raaz Dwivedi, Ahmed Lone, and Raj Agrawal talked about what it might mean ...

Approximate Nearest Neighbor Search (ANNS) is a fundamental vector search technique that efficiently identifies similar items in high-dimensional vector spaces. Traditionally, ANNS has served as the ...