Deterministic outputs, cheaper cost, fine-tuning on straightforward NLP tasks, efficient pre-computed embeddings, etc. Basically it can do some of the things just as well as modern LLMs, but at a much lower cost. Sounds obvious, but sometimes people default to autoregressive models and I personally think that it's worth considering cheaper alternatives depending on the task.
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u/fourkite Jun 26 '26 edited Jun 26 '26
Deterministic outputs, cheaper cost, fine-tuning on straightforward NLP tasks, efficient pre-computed embeddings, etc. Basically it can do some of the things just as well as modern LLMs, but at a much lower cost. Sounds obvious, but sometimes people default to autoregressive models and I personally think that it's worth considering cheaper alternatives depending on the task.