Cohere
If this was the year companies adopted AI to stay competitive, next year will likely be about customizing AI solutions for their specific needs.
"The next phase of development will move beyond generic LLMs towards tuned and highly optimized end-to-end solutions that address the specific objectives of a business," Aidan Gomez, the CEO and cofounder of Cohere, an AI company building technology for enterprises, wrote in a post on LinkedIn last week.
"AI 2.0," as he calls it, will "accelerate adoption, value creation, and will help fundamentally transform how businesses operate." He added: "Every company will be an AI company."
Cohere has partnered with major companies, including software company Oracle and IT company Fujitsu, to develop customized business solutions.
"With Oracle, we've built customized technology and tailored our AI models to power dozens (soon, hundreds) of production AI features across Netsuite and Fusion Apps," he wrote. For Fujitsu, Cohere built a model called Takane that's "specifically designed to excel in Japanese."
Last June, Cohere partnered with global management consulting firm McKinsey & Company to develop customized generative AI solutions for the firm's clients. The work is helping the startup "build trust" among more organizations, Gomez previously told Business Insider.
To meet the specific needs of so many clients, Gomez has advocated for smaller, more efficient AI models. He says they are more cost-effective than building large language models, and they give smaller startups a chance to compete with more established AI companies.
But it might be only a matter of time before the biggest companies capitalize on the customization trend, too.
OpenAI previewed an advancement during its "Shipmas" campaign that allows users to fine-tune o1 — their latest and most advanced AI model, on their own datasets. So, users can now leverage OpenAI's reinforcement-learning algorithms to customize their own models.
The technology will be available to the public next year, but OpenAI has already partnered with companies like Thomson Reuters to develop specialized legal tools and researchers at Lawrence Berkeley National Laboratory to build computational models for identifying genetic diseases.
Cohere did not immediately respond to a request for comment from Business Insider.
