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MetaCaster: Meta-Learning Agents Train Lightweight Forecasters in Minutes Instead of Hours

This story is from 2026-08-26. It is preserved in the archive; the latest stories are on the live feed.

Foundation models are expensive. A trading agent that calls GPT-4 for every price prediction burns budget fast. Lightweight forecasters are cheap to run but expensive to train, especially when you only have a handful of examples. MetaCaster introduces a meta-harness architecture where agents don't…

Read the full story at DEV Community — Machine Learning ↗

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  1. 2026-08-26 00:07 · DEV Community — Machine Learning
    MetaCaster: Meta-Learning Agents Train Lightweight Forecasters in Minutes Instead of Hours

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