All of us, techies, currently have experimented with Large language models (LLMs) like GPT at some shape or form, and the promise is it will help busi

Transforming Business Operations with LLMs: A Path to a Production Ecosystem

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2024-06-10 18:30:02

All of us, techies, currently have experimented with Large language models (LLMs) like GPT at some shape or form, and the promise is it will help businesses work smarter and more efficiently. While there’s been plenty of experimentation, we’re now at an exciting point where these AI applications and tools, could really become integrated into companies’ core operations in a scalable, reliable way.

But to make that happen, easier said than done, we can’t just drop an LLM in the middle of our systems, as some companies sell that dream. There is a need for an ecosystem, that assures the longevity and scalable growth of AI into your enterprise. Like others, I have been experimenting and finding the best places where LLMs and LLM applications can have impact, and this is part of a series talking about the components of what I think the near future AI platform would look like.

LLMs can’t always make perfect decisions, especially when first deployed, a lot of fine tuning, prompt engineering and context testing is needed. Humans in the loop, are essential, to review and approve/reject decisions the LLMs are unsure about. Over time, as the system proves itself, more decisions can be fully automated. But that initial human oversight builds trust into your AI platform.

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