AI is very important for growth of businesses today. That’s why the companies that know are using a blend of other large language models from companies like Meta and Google to test OpenAI’s GPT dominance.
According to the experts, OpenAI’s GPT-4 in its latest model released earlier this year, is far superior on the market.
One reason is due to how much more vast its model is than those of competitors.
OpenAI’s LLM, powering ChatGPT, can be applied to provide a vast amount of information like baseball stats or resume advice. However, companies building AI applications are diversifying their LLM dependencies, and testing the limits of OpenAI’s dominance in the generative AI industry.
LLM providers
There’s a growing market of LLM providers, and when it comes to disrupting OpenAI, some smart people with a lot of money are trying, so the world can expect eventually change sometime next year.
Now, Big Tech companies like Meta and Google are offering their own LLMs. And alongside upstarts like Anthropic, Stability AI, Mosaic, AI companies have a host of models to choose from.
Because of rapid growth in the AI industry, companies have started using multiple LLMs to reduce the risks of other players becoming better than OpenAI—positioning them to quickly adapt if that becomes the case.
Cisco is one company that has contracts with multiple LLM providers, including OpenAI and Google. The company is open to more partnerships.
The CEO of the company said it’s not a case of one size fits all. According to him, “What we find is that there is not a single model that works well for every single scenario,” said Anurag Dhingra, Cisco’s chief technology officer,
“Instead of picking one [model] and saying this is the One Ring to rule them all, we are taking a more flexible approach,” Dhingra said.
Cisco is just one of many AI-using companies that have been building its product for flexibility. It helps so that if one LLM surpasses others in quality, they can easily plug the new model into their AI product to stay competitive.
Cheaper models from companies like Meta and Mosaic
For other companies, particularly, cash-strapped startups using LLMs to power their products, there’s an over-powering need to save money, particularly, as training AI models can incur high computational costs.
To cut costs, those companies often use a blend of LLM providers that are less expensive than OpenAI’s. After that, they fine-tune them to meet their needs.
It’s especially effective when a company has proprietary data which uses a blend of LLM providers including from Google, Meta, Mosaic, Anthropic, among others.