Discussion

Back-to-basics approach can match or outperform AI in language analysis

z3c0: [delayed]

jeanettesherman: Using LLMs for everything is going to be seen as a big fad in a few years. First we try them for everything, then we find what use cases actually make sense, then we scale back. Woe betide our 401(k)s when it happens, though.

drBonkers: This is a concise statement of what I've tried to articulate by analogizing it to railroad infra buildout.What applications do you think make the most sense so far?

glitchc: If there's one problem that LLMs have solved, it's language. While an LLM may hallucinate, it does so in grammatically correct English sentences. Additionally, even the local version of gemma-4-26B can seamlessly switch between languages in the midst of a conversation while maintaining context. That's perhaps the most exciting part for me: We have a bonafide universal translator (that's Star Trek territory) and people seem more focused on its factual accuracy.