CarperAI
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About
CarperAI is a democratized AI research team focused on enhancing the performance of preference learning. They utilize a representation learning + RL approach to build large-scale, natural text personalized preference models. Their projects include CARP (Contrastive Anecdote Review Pretraining) and CARP-CoOp, which leverage story-critique pairs and context optimization to guide text generation with preferences. They also have a Code.AI team researching AI4Code and have released open-source libraries like OpenELM for evolutionary search with language models. The team consists of researchers from various universities, including Georgia Tech, Brown University, and NYU.
Platform
Task
Features
• text generation
• reinforcement learning
• preference learning
• representation learning
• embedding models
• evolutionary search
• open-source library
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