Upcoming Events
Small Models, Big Impact: How Upstage Built a Highly Accurate SLM for Proofreading
Explore how Upstage built a highly accurate Small Language Model (SLM) that outperforms fine-tuned GPT-4o mini for proofreading.
Exploring Real-World LLM Solutions with Solar - Webinar Summary
Dive into the six ideas presented at the "Exploring Real-World LLM Solutions with Solar" webinar and discover a variety of use cases that bring LLMs into real-world applications.
Enhancing Tax Administration Efficiency Using the Latest Document AI Technology: Customer Success Stories
The Best Tax Firm revolutionizes tax and accounting tasks with Upstage’s OCR and Layout Analysis technology. By automating document analysis and streamlining data processing, the firm enhances operational efficiency and accuracy. Discover how cutting-edge AI solutions can transform your tax administration processes.
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.