Fastest way to ship NLP to production
The process of building Natural Language Processing Applications seems to be stuck where software development was 30 years ago. Long development cycles, little user input, bad tools and a high risk of not delivering value.
At deepset, we believe that NLP applications should be built the same way as any other modern software.
In this webinar, Mathis, Head of Product for deepset Cloud, will share his experience in building enterprise NLP applications.
Keep learning with more resources from deepset
NLP for Product Managers
Recently, natural language processing has become the focus of interest across many industries. Still, most practitioners find it challenging to understand the key concepts behind this powerful technology. In this ebook, we want to take a deep dive into how to apply modern NLP to your own use cases. We also show you how to use pre-built language models when developing an NLP application.
NLP for Developers
This book is designed to help developers and data scientists understand the process of implementing an NLP system. It introduces foundational concepts in modern NLP in accessible language, and shows you the tools to design, build, and maintain an end-to-end application that’s powered by NLP.