Apr 2, 06:00 PM

Polyverse AI, IBM, Google, Microsoft Integrate Retrieval-Augmented Generation (RAG) for AI Enhancement

Retrieval-Augmented Generation (RAG) is gaining traction in the business world as a technique that enhances the accuracy and reliability of Large Language Models by incorporating facts from external sources. Various tech companies like Polyverse AI, IBM, Google, and Microsoft are integrating RAG into their AI models to improve performance and contextual awareness. Experts emphasize the importance of designing RAG systems effectively, highlighting key pillars such as indexing and data extraction. RAG is seen as crucial for building AI applications that require specific domain knowledge and contextual awareness, offering real-time information access and utilization.

#Large Language Models #Polyverse AI #IBM #Google #Microsoft

Written with ChatGPT (GPT-3).