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What did it use to mean?
by whiplash451 3y ago
What did it use to mean?
- adastra22 3y agoBasically the ability to perform a task on the first try, without any feedback. E.g. a robot that is trained to pick up blocks being told to shoot a basketball though a hoop, and making a reasonable attempt at doing so on the first try (doesn't have to be successful, but has to in some way resemble throwing a ball through a hoop rather than picking up blocks). I can see how the machine learning definition is similar, but the whole idea of retraining and fine-tuning is foreign to a lot of subfields in GOFAI.
- optimalsolver 3y agoSo a model trained on one task, performing reasonably well on an related task?
- adastra22 3y agoYeah sorry I didn’t mention the important difference, which had me surprised. One shot learning in traditional AI is (to use modern terms), one shot training. The AI doesn’t just do the thing in the first try, it learns from that inference as well and does the thing even better on the second try. I guess attentional context is almost this, but LLMs don’t update their base model after a one shot inference.
- p1esk 3y agoHow do you train a robot in GOFAI?