Google Rolls Out Gemini AI Updates for Developers

Google is offering its developer customers a series of enhanced artificial intelligence (AI) features.

The tech giant on Wednesday (Dec. 13) debuted Gemini Pro for enterprises, which lets developers build applications using Google’s Gemini AI, which was introduced last week. 

“Today, we’re making Gemini Pro available for developers and enterprises to build for your own use cases, and we’ll be further fine-tuning it in the weeks and months ahead as we listen and learn from your feedback,” the company wrote on its blog.

The first version of Gemini Pro is accessible through the Gemini API, the blog post added, saying the tool “outperforms other similarly sized models on research benchmarks.”

This version, Google said, comes with a 32K context window for text, with future versions expected to have a larger context window. The tool is free to use at the moment, “within limits,” Google said, adding that it will “be competitively priced.”

Google debuted Gemini on Dec. 6, calling it its most “flexible” AI model as it comes in different sizes, from one for smartphones to one that can work with large data centers.

“For a long time, we’ve wanted to build a new generation of AI models, inspired by the way people understand and interact with the world — an AI that feels more like a helpful collaborator and less like a smart piece of software,” said Eli Collins, vice-president of product at Google DeepMind. “Gemini brings us a step closer to that vision.”

Days later, PYMNTS examined Google’s place in the AI market relative to competitors like Microsoft and the Microsoft-backed startup OpenAI.

“Despite the appearance that Google is chasing after its other tech rivals, the Mountain View tech giant is winning the AI race in an important way: Google has repeatedly proven that it can build state-of-the-art AI completely in-house,” that report said.

By comparison, the report argued, Microsoft is “almost entirely beholden” to its OpenAI partnership for its own AI ambitions, while Amazon depends on similar — and growing — ties with AI startup Anthropic. 

And while nearly 80% of retailers rank generative AI as the most impactful emerging technology, and PYMNTS Intelligence has found that 84% of business leaders believe generative AI will positively impact the workforce, the most bleeding-edge models such Gemini Ultra and ChatGPT-4V may be overkill for most of today’s enterprise use cases. 

“That’s because most businesses aren’t looking for jack-of-all-trades-master-of-none models,” PYMNTS wrote last week. “They want AI systems that can leverage domain-specific and enterprise-specific data stored on air-gapped corporate servers to help enhance and optimize their workflows.”