Symbol J
J is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
Read this term in its guide →Published equation contexts
Constitutional AI is Anthropic’s best-documented departure from plain RLHF, and it is worth being precise about exactly what it changes, because the method is easy either to overstate or to wave at vaguely. Bai and fifty co-authors describe it as a two-phase procedure layered onto the pipeline above [ 1 ] . In the first phase, the model is prompted to critique its own draft response against one principle drawn from a written list, then to revise the response in light of that critique; those revised responses become supervised fine-tuning data, so the model that comes out the other side has been trained partly on its own corrected output rather than solely on external demonstrations. In the…
J is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
Read this term in its guide →θ is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.
Read this term in its guide →Read this expression with the definitions, units, and assumptions supplied by the article.
A symbol can carry a different meaning in another article. Each occurrence keeps its own guide and term definitions.
Equation 9 · Foundation Models
This mathematical expression combines the displayed quantities; its precise role follows from the surrounding article text.
Constitutional AI is Anthropic’s best-documented departure from plain RLHF, and it is worth being precise about exactly what it changes, because the method is easy either to overstate or to wave at vaguely. Bai and fifty co-authors describe it as a two-phase procedure layered onto the pipeline above [ 1 ] . In the first phase, the model is prompted to critique its own draft response against one principle drawn from a written list, then to revise the response in light of that critique; those revised responses become supervised fine-tuning data, so the model that comes out the other side has been trained partly on its own corrected output rather than solely on external demonstrations. In the…
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