
NVIDIA Introduces RankRAG: A Novel RAG Framework that Instruction-Tunes a Single LLM for the Dual Purposes of Top-k Context Ranking and Answer Generation in RAG
Retrieval-augmented generation (RAG) has emerged as a crucial technique for enhancing large language models (LLMs) to handle specialized knowledge, provide current information, and adapt to specific domains without altering model weights. However, the current RAG […]