What the Drama at OpenAI Means for Your Generative A.I. Strategy
It's time to think about managing the risks of relying on third-party generative AI systems.
By TOM TAULLI
EyeLevel executive offers insight on the risks of relying on the OpenAI API:
Deploy multiple large-language models.
This is the strategy for EyeLevel.ai, a startup that helps mitigate hallucinations with private data. The company's platform uses large-language models from Meta, Google, Anthropic and OpenAI.
The key is to create a software layer that integrates these systems in a way that is easy to replace or swap. The good news is that there are various frameworks--like LangChain--that provide templates for this.
Yet evaluating large-language models is far from easy. While there are metrics, they can be subject to complex assumptions and may not make accurate comparisons.
Then what to do? A good approach is to run various tests for the types of scenarios of your business and track the responses. True, this can be tedious. But it will allow for better results.
Read the entire article at Inc.com.