Reinforcement learning with human feedback (RLHF) is the standard method for aligning large language models (LLMs) with human preferences — such as the preferences for nontoxic...
Many machine learning (ML) applications involve embedding data in a representation space, where the geometric relationships between embeddings carry semantic content. Performing a useful task often...
Many recent advances in artificial intelligence are the result of representation learning: a machine learning model learns to represent data items as vectors in a multidimensional...
Logo recognition is the task of identifying a specific logo and its location in images or videos. It helps create a safe and trustworthy shopping experience,...