carperai / autocrit Goto Github PK
View Code? Open in Web Editor NEWA repository for transformer critique learning and generation
A repository for transformer critique learning and generation
Can we get a repo license doc btw? The setup.py says MIT but if there is no LICENSE doc I think it may be officially proprietary code until you add one.
Evaluation of instruction tuned models is difficult for many of the properties we actually care about.
Language modelling and multiple choice benchmarks may capture some aspects of knowledge and reasoning but don't capture many of the properties we care about in instruction tuned dialog agents, like long term coherence, multi task generalisation, ability to use tools, harmlessness, etc.
To address this, we can try to use LLMs to evaluate LLMs.
Ways to do this (in order of increasing complexity):
We should implement these into our repository.
Basic implementations would be:
This issue captures some of the key steps required to reproduce the Constitutional AI paper steps to fine tune a RLHF model with feedback generated by a RLAIF model.
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Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
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