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Lost in Distillation: A Case Study in Toxicity Modeling
In an era of increasingly large pre-trained language models, knowledge distillation is a powerful tool for transferring information from a large model to a smaller one.
Designing for Human-Agent Alignment: Understanding what humans want from their agents
Our ability to build autonomous agents that leverage Generative AI continues to increase by the day.
ConstitutionMaker: Interactively Critiquing Large Language Models by Converting Feedback into Principles
Inspired by these findings, we developed ConstitutionMaker, an interactive tool for converting user feedback into principles, to steer LLM-based chatbots.
`It is currently hodgepodge'': Examining AI/ML Practitioners' Challenges during Co-production of Responsible AI Values
This work contributes to the discussion by unpacking co-production challenges faced by practitioners as they align their RAI values.
Is Your Toxicity My Toxicity? Exploring the Impact of Rater Identity on Toxicity Annotation
Next, we trained models on the annotations from each of the different rater pools, and compared the scores of these models on comments from several test sets.
