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149 words
Since the chat GPT moment happened in 2022, those chatbots, a lot of it was just like, hey, it's generative AI chatbots.
In the last year, year and a half, as we are moving from a generative chatbot era to going more towards agentic AI, one size does not fit all, you basically want to go to your frontier models for certain class of workloads, but then the architecture is evolving into what you can also bring on-prem or run on-prem.
The reasons such as sovereignty, control, tokenomics, you'll hear that a lot. So the architecture is evolving into a hybrid AI architecture for enterprises to make sure they are running the right, the agent runtime is running at the right place the AI ML calls are happening at the right place, what you can go run locally, you run locally and privately, but you got to go into.
