Case Study: RAG-based natural language question response
Explore the transformative potential of Retrieval-Augmented Generation (RAG) in revolutionizing information retrieval and response generation. Learn how Upstage's bespoke RAG systems, exemplified by the BIG KINDS AI for news searches, harness advanced AI capabilities and real-time data integration to deliver precise, contextually relevant responses. With a focus on enhancing user experience and mitigating hallucination, Upstage sets a new standard in RAG technology, offering tailored solutions that exceed client expectations.
Case Study: Client-specific Large Language Model
Discover how Upstage addresses the challenges of e-commerce data extraction with a tailored, private Large Language Model (LLM). With a focus on Attribute-Value Extraction (AVE) and sentiment analysis, Upstage's innovative approach streamlines product listing processes and enhances user experience on platforms like Connectwave. Leveraging a Mixture-of-Experts architecture and AWS SageMaker, Upstage sets a new standard in commerce-specific LLM development, driving efficiency and productivity in the e-commerce sector.