How organizations can make the most of LLMs - General Discussion
As more organizations experiment with GenAI, the landscape of emerging AI models is only becoming more and more vast. The large variety of models available means that organizations that have overcome the first question of whether they should be using AI in the first place are now posed with an even more daunting question: which model should they be using?
Relying solely on a single model is risky. For example, let’s say a company centers its commercial healthcare applications around a single AI model without integrating other models. The risk is that the single model relied on can sometimes provide inaccurate results and recommendations, leading not only to potential financial issues but also causing a decrease in trust in the company from the wider market.
The Importance of LLM Mesh
With the overwhelming number of options available in the market and new challenger models constantly being developed and rolled out, many businesses are unsure which direction to follow and which model to adopt to best support the development of its applications. To mitigate this risk, avoiding a single vendor lock-in is crucial in navigating the fast-paced landscape of AI and the ability to reduce concerns about security, ethics, and stability.
Companies are encouraged to shift their perspective from a single vendor lock-in to now jump on all of the different AI waves — using the LLM Mesh. The benefit of “wave hopping” with LLM Mesh is that it allows businesses to develop enterprise applications using today’s top AI models while still having the choice of switching to other models.
Keeping Up with the AI Wave
As businesses make informed decisions about the costs of running LLMs, they must also choose the right model for the performance needs of an application. Nearly 90% of executives rank GenAI as a top tech priority. Waiting for the perfect wave is a strategy for competitive disadvantage.
Companies that want to ride the GenAI wave without suffering the downsides of vendor lock-in really have one option: adopting an LLM Mesh approach. Not only does this approach offer the flexibility to choose which model aligns best with an organization's priorities, but it will also help to future-proof AI applications and projects to ensure a business can always take advantage of the latest AI models.
There is no better time than now for companies to hop on the wave and make the most of LLMs in their AI strategies.
