By 2028, given a one-page description of a task X, AI can download and fine- tune existing open source LLMs for X? | Manifold

By 2028, given a one-page description of a task X, AI can download and fine- tune existing open source LLMs for X?

9

Ṁ150Ṁ194

2028

75%

chance

1H

6H

1D

1W

1M

ALL

Given a one-page description of the task, download and fine- tune an existing open source LLM, without more input from humans.

The fine-tune must improve the performance of the LLM on some predetermined benchmark metric.

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Related questions

Will OpenAI release another open source LLM before end of 2026?

By 2028 will we be able to identify distinct submodules/algorithms within LLMs?

Will any widely used LLM be pre-trained with abstract synthetic data before 2030?

By 2029 end, will it be generally agreed upon that LLM produced text/code > human text/code for training LLMs?

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By 2027, will it be generally agreed upon that LLM produced text > human text for training LLMs?

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Will Transformer-Based LLMs Make Up ≥75% of Parameters in the Top General AI by 2030?

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