Post #2442628
2026-01-17 13:14 UTC
@ThePowerNap@mefi.social @dragonfrog@mastodon.sdf.org @cstross@wandering.shop @ViennaMike@mastodon.social The best purpose of a LLM system is to provide a natural language interface to a complex but not mission critical system such as home automation, media libraries and switchboards.
Machine learning on the other hand should lean into seeing without eyes (is a dramatic jump in intensity cancer?)
Both of these cases should be powered through a single IEC C13 socket and not some gW data centre.
Replies (1)
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@ThePowerNap@mefi.social 2026-01-17 21:44
@NefariousCelt@mastodon.scot @dragonfrog@mastodon.sdf.org @cstross@wandering.shop @ViennaMike@mastodon.social 95% agree. I'm currently working an LLM project that is interfacing with something a touch more than home automation. Aside from fine tuning the model and putting constraints on the output (think https://github.com/dottxt-ai/outlines), you can use existing approved software as validation of llm output. All of this requires in-depth knowlege, patience and exaustive testing.