Three challenges in deploying generative models in production | by Al…

How to deploy Large Language and Diffusion models for your product without scaring the users away.

OpenAI, Google, Microsoft, Midjourney, StabilityAI, CharacterAI and many more — everyone is racing to bring the best solution for text-to-text, text-to-image, image-to-image and image-to-text models.

The reason is simple — the vast field of opportunities the space offers; after all, it’s not only entertainment but also utility that was impossible to unlock. From better search engines to more impressive and personalized ad campaigns and friendly chatbots, like Snap’s MyAI.

And while the space is very fluid, with lots of moving parts and model checkpoints released every few days, there are challenges that every company working with Generative AI is looking to address.

Here, I will talk about the major challenges and how to address them in deploying generative models in production. While there are many different kinds of generative models, in…