@jerryjliu0: I do think that for any given task, you can always distill a generalized model/agent harness into a specialized model/h…
Summary
Jerry Liu suggests that for any task, a generalized model can be distilled into a specialized one for higher accuracy and lower cost, with automation enabling this process by defining goals and rubrics instead of manual workflow coding.
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Cached at: 07/17/26, 02:26 AM
I do think that for any given task, you can always distill a generalized model/agent harness into a specialized model/harness/workflow for higher accuracy and lower cost.
The more narrow the data and task domain, the more opportunity there is to optimize performance (not to mention provide a more targeted UX vs. a chat interface).
As agents get better at improving themselves, I think you can start to perform this distillation automatically, by defining a top-level goal and evaluation rubric, instead of codifying the workflow through code or natural language.
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