SambaNova, a Palo Alto-based tech company that specializes in artificial intelligence (AI), announced recently that the company has added the GPT-3 language model to its Dataflow-as-a-Service product. The addition is a part of the company’s mission to make AI more accessible and allow companies to more efficiently implement language models.

The company’s Dataflow-as-a-Service product serves to provide consumers with better access to machine learning models and allows companies to customize AI programs to their individual needs. Through the product, companies can access numerous different services and AI solutions, including natural language processing (NLP) and computer vision. The addition of GPT-3 to the product is a milestone for the product’s NLP services, with VentureBeat noting that the move has improved the company’s NLP capabilities.

“Enterprises are insistent about exploring AI usage for text and language purposes, but up until now it hasn’t been accessible or easy to deploy at scale,” said Rodrigo Liang, the company’s CEO and co-founder. “By offering GPT models as a subscription service we are simplifying the process and broadening accessibility to the industry’s most advanced language models in a fraction of the time. We are arming businesses to compete with the early adopters of AI.”

GPT-3 is one of the largest language models currently available today. GPT-3 is capable of reading and completing written texts, such as emails, news articles, or lists. According to SambaNova, it is particularly useful for companies that need to sort or organize certain documents, quickly extract information from large collections of text such as invoices or health records, and also for conducting sentiment analysis.

The language model is one of many that MultiLingual has reported on in recent months. By incorporating GPT-3 into its subscription-based service, SambaNova notes that it is making the massive language model more accessible to companies than it has been before.

“Customers face many challenges with implementing large language models including the complexity and cost,” said R “Ray” Wang, founder of Constellation Research. “Leading companies seek to make AI more accessible by bringing unique large language model capabilities and automating out the need for expertise in machine learning models and infrastructure.”