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I think this is a great primer on how to make LLMs enterprise/domain specific, but is still couching this technology's main use-case in the context of "question
by ajcp 3y ago
I think this is a great primer on how to make LLMs enterprise/domain specific, but is still couching this technology's main use-case in the context of "question-answer" machine toward the service of a user.
While this may be the (brilliant) hook that enabled the massive conceptual adoption of the tech it is not going to be the value proposition of it. In the next 6 months we're going to see the deployment of Agency-based solutions completely powered by LLM[1][2].
The real value LLM provide will be that they replace the "humans-as-integrations" and RPA automations.
1. https://github.com/microsoft/UFO https://github.com/microsoft/UFO
2. https://github.com/microsoft/TaskWeaver https://github.com/microsoft/TaskWeaver
- cyanydeez 3y agoPerhaps they will freeze their LLM api, but these systems appear.incredibly fragile and rely on dumb parsing of LLM output' They'll be a toy until a purpose built and reliable LLM is available and its primarily local'