In the realm of large language models (LLMs), integrating these advanced systems into real-world enterprise applications is a pressing need. However, the pace at which generative AI is evolving is so quick that most can’t keep up with the advancements.
One solution is to use managed services like the ones provided by OpenAI. These managed services offer a streamlined solution, yet for those who either lack access to such services or prioritize factors like security and privacy, an alternative avenue emerges: open-source tools.
Open-source generative AI tools are extremely popular right now and companies are scrambling to get their AI-powered apps out the door. While trying to build quickly, companies oftentimes forget that in order to truly gain value from generative AI they need to build “production”-ready apps, not just prototypes.