Google Cloud today announced a multi-year partnership with Cohere, a provider of natural language processing (NLP) services to empower Cohere’s platform.
Many of Cohere’s products will be developed and deployed on Cloud TPUs, Google’s supercomputers that are optimised for large-scale ML, enabling Cohere to broaden access to advanced large language models (LLMs) and NLP to more small businesses and large enterprises alike.
Today, organisations in every industry generate massive quantities of unstructured, text-heavy data such as web pages, business documents, invoices, and customer support records. NLP technologies—from data analysis and semantic search, to voice assistants and chatbots—have the power to unlock the value of that data and translate it into rich customer insights and experiences. Yet, until now, access to these technologies has been limited to enterprises with extensive financial resources, AI research teams, and advanced engineering capabilities.
To address these challenges, the partners said they will allow companies of all sizes to build products and services upon Cohere’s NLP models capable of understanding, processing, and generating language, similar to how humans communicate naturally.
Additionally, with just a few lines of code, customers can fine-tune Cohere’s models with proprietary datasets and integrate them into their products through an API. Developers can now focus on building products and applications that can classify, summarise, and generate text.
“Leading companies around the world are using AI to fundamentally transform their business processes and deliver more helpful customer experiences,” said Thomas Kurian, CEO, Google Cloud. “Our work with Cohere will make it easier and more cost-effective for any organisation to realise the possibilities of AI with powerful NLP services powered by Google’s custom-designed Tensor Processing Units (TPUs).”
