Retrieval-augmented generation (RAG) is a method that integrates external knowledge sources into large language models (LLMs) to provide accurate and contextually relevant…
Ego-centric searches are essential in many applications, from financial fraud detection to social network research, because they concentrate on a single vertex…
In the ever-evolving world of artificial intelligence (AI), large language models have proven instrumental in addressing a wide array of challenges, from…
