From sentiment analysis to fraud detection, we interact with natural language processing (NLP) models every day. NLP is at the center of machine learning for researchers, engineers, and data scientists who count on its ubiquitous automated applications, e.g., predictive text, virtual assistants, chatbots, semantic search, and social listening, to save time and effort, cement competitive differentiation, and accelerate innovation.
As critical as they are to the future of AI, developing state-of-the-art NLP models is complex, expensive, and time-consuming.
With optimized dataflow from the algorithms to the silicon, SambaNova is always rethinking how modern compute solutions can more efficiently and accurately process machine learning models to better support next-generation AI.
Learn how SambaNova can help your organization accelerate time to value for your NLP solutions.