Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations

arXiv:2403.09704v1 Announce Type: cross
Abstract: The alignment of large language models is usually done by model providers to add or control behaviors that are common or universally understood across use cases and contexts. In contrast, in this article, we present an approach and architecture that empowers application developers to tune a model to their particular values, social norms, laws and other regulations, and orchestrate between potentially conflicting requirements in context. We lay out three main components of such an Alignment …

abstract alignment application architecture article arxiv cases contrast control cs.ai cs.cl cs.lg developers language language models large language large language models regulations studio type use cases